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Longer titles found: Targeted maximum likelihood estimation (view)

searching for maximum likelihood estimation 147 found (295 total)

alternate case: Maximum likelihood estimation

MLwiN (137 words) [view diff] exact match in snippet view article find links to article

software package for fitting multilevel models. It uses both maximum likelihood estimation and Markov chain Monte Carlo (MCMC) methods. MLwiN is based

Fisher consistency (765 words) [view diff] no match in snippet view article find links to article

In statistics, Fisher consistency, named after Ronald Fisher, is a desirable property of an estimator asserting that if the estimator were calculated using

Normal-inverse-gamma distribution (2,031 words) [view diff] no match in snippet view article find links to article

In probability theory and statistics, the normal-inverse-gamma distribution (or Gaussian-inverse-gamma distribution) is a four-parameter family of multivariate

Bernstein–von Mises theorem (1,197 words) [view diff] no match in snippet view article find links to article

In Bayesian inference, the Bernstein–von Mises theorem provides the basis for using Bayesian credible sets for confidence statements in parametric models

Algebraic statistics (1,078 words) [view diff] no match in snippet view article find links to article

Algebraic statistics is a branch of mathematical statistics that focuses on the use of algebraic, geometric, and combinatorial methods in statistics. While

Beta-binomial distribution (2,357 words) [view diff] no match in snippet view article find links to article

In probability theory and statistics, the beta-binomial distribution is a family of discrete probability distributions on a finite support of non-negative

Z-test (2,161 words) [view diff] exact match in snippet view article find links to article

the most familiar Z-tests. Another class of Z-tests arises in maximum likelihood estimation of the parameters in a parametric statistical model. Maximum

Large number of rare events (102 words) [view diff] exact match in snippet view article find links to article

improvements in frequency distribution estimation over the maximum likelihood estimation when "rare events are common". It can be applied to problems

Deming regression (1,557 words) [view diff] exact match in snippet view article find links to article

complicated error structure. Deming regression is equivalent to the maximum likelihood estimation of an errors-in-variables model in which the errors for the

Independent component analysis (7,478 words) [view diff] exact match in snippet view article find links to article

method to find the optimal solution of the unmixing matrix. Maximum likelihood estimation (MLE) is a standard statistical tool for finding parameter values

Katz's back-off model (817 words) [view diff] exact match in snippet view article find links to article

training individual models for different n-gram orders using maximum likelihood estimation and then interpolating them together. The equation for Katz's

Maximum a posteriori estimation (1,728 words) [view diff] exact match in snippet view article find links to article

to estimate. MAP estimation is therefore a regularization of maximum likelihood estimation, so is not a well-defined statistic of the Bayesian posterior

Fixed-effect Poisson model (474 words) [view diff] no match in snippet view article find links to article

model is transformed in a useful way and can be estimated by maximum-likelihood estimation techniques for multinomial log likelihoods. This is computationally

Murray Aitkin (374 words) [view diff] exact match in snippet view article find links to article

co-authored with Darrel Bock and published a paper titled: "Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm" to Psychometrika

Gamma distribution (8,873 words) [view diff] case mismatch in snippet view article find links to article

Gamma distribution" (PDF). Choi, S. C.; Wette, R. (1969). "Maximum Likelihood Estimation of the Parameters of the Gamma Distribution and Their Bias"

Halbert White (669 words) [view diff] exact match in snippet view article find links to article

paper by White contributed strongly to the development of quasi-maximum likelihood estimation. He also contributed to numerous other areas such as neural

Harmonic distribution (1,757 words) [view diff] no match in snippet view article find links to article

In probability theory and statistics, the harmonic distribution is a continuous probability distribution. It was discovered by Étienne Halphen, who had

Katarina Juselius (347 words) [view diff] exact match in snippet view article find links to article

of Journal of Economic Methodology. Her most quoted paper, "Maximum likelihood estimation and inference on cointegration—with applications to the demand

Discrete Weibull distribution (1,406 words) [view diff] exact match in snippet view article find links to article

delves into sophisticated statistical techniques, including maximum likelihood estimation and Bayesian inference, for analyzing bivariate discrete data

Negative binomial distribution (8,256 words) [view diff] case mismatch in snippet view article find links to article

Press. ISBN 978-0-521-19815-8. Lloyd-Smith, J. O. (2007). "Maximum Likelihood Estimation of the Negative Binomial Dispersion Parameter for Highly Overdispersed

Vector generalized linear model (4,767 words) [view diff] exact match in snippet view article find links to article

adopted is the iteratively reweighted least squares method, for maximum likelihood estimation of usually all the model parameters. In particular, Fisher scoring

Truncation (statistics) (1,036 words) [view diff] no match in snippet view article

complicated analysis. However, software is readily available for maximum-likelihood estimation of even moderately complicated models, such as regression models

David S. Stoffer (776 words) [view diff] case mismatch in snippet view article find links to article

State-Space Modeling and Bootstrapping State-Space Models: Gaussian Maximum Likelihood Estimation and the Kalman Filter both published in the Journal of the American

Anton Formann (2,637 words) [view diff] no match in snippet view article find links to article

dichotomous data: Unconditional, conditional, and semiparametric maximum-likelihood-estimation. Journal of the American Statistical Association, 89, 1027-1034

Benini distribution (600 words) [view diff] no match in snippet view article find links to article

implemented in the VGAM package for R, which also provides maximum-likelihood estimation of the shape parameter. Conditional probability distribution

Estimation of covariance matrices (4,026 words) [view diff] no match in snippet view article find links to article

In statistics, sometimes the covariance matrix of a multivariate random variable is not known but has to be estimated. Estimation of covariance matrices

Sieve estimator (337 words) [view diff] case mismatch in snippet view article find links to article

PMID 18238264. Stuart Geman, Chii-Ruey Hwang. "Nonparametric Maximum Likelihood Estimation by the Method of Sieves" (PDF). The Annals of Statistics, Vol

Light field microscopy (5,015 words) [view diff] no match in snippet view article find links to article

Light field microscopy (LFM) is a scanning-free 3-dimensional (3D) microscopic imaging method based on the theory of light field. This technique allows

Normal-inverse Gaussian distribution (905 words) [view diff] no match in snippet view article find links to article

sampling. It can also be used to derive an EM algorithm for maximum-likelihood estimation of the NIG parameters. Ole E Barndorff-Nielsen, Thomas Mikosch

Markov–Krein theorem (231 words) [view diff] case mismatch in snippet view article find links to article

38 (6): 851. doi:10.1287/mnsc.38.6.851. Simar, L. (1976). "Maximum Likelihood Estimation of a Compound Poisson Process". The Annals of Statistics. 4

Optimal estimation (852 words) [view diff] exact match in snippet view article find links to article

to the maximum likely value, and so this is also a form of maximum likelihood estimation. Typically with optimal estimation, in addition to the vector

Lars Peter Hansen (2,127 words) [view diff] exact match in snippet view article find links to article

less stringent maintained model assumptions than needed for maximum likelihood estimation. However, these estimators are mathematically equivalent to

Linear classifier (1,163 words) [view diff] exact match in snippet view article find links to article

training of linear classifiers include: Logistic regression—maximum likelihood estimation of w → {\displaystyle {\vec {w}}} assuming that the observed

Scale-free network (5,629 words) [view diff] exact match in snippet view article find links to article

\gamma } of a scale-free network is typically done by using the maximum likelihood estimation with the degrees of a few uniformly sampled nodes. However,

Berndt–Hall–Hall–Hausman algorithm (487 words) [view diff] exact match in snippet view article find links to article

algorithm Henningsen, A.; Toomet, O. (2011). "maxLik: A package for maximum likelihood estimation in R". Computational Statistics. 26 (3): 443–458 [p. 450]. doi:10

Stan (software) (901 words) [view diff] exact match in snippet view article

Bayesian inference, and gradient-based optimization for penalized maximum likelihood estimation. MCMC algorithms: Hamiltonian Monte Carlo (HMC) No-U-Turn sampler

Stratocladistics (273 words) [view diff] case mismatch in snippet view article find links to article

58 (1): 163–172. Huelsenbeck, J. H.; Rannala, B. (1997). "Maximum Likelihood Estimation of Phylogeny Using Stratigraphic Data" (PDF). Paleobiology.

Journal of Environmental Economics and Management (251 words) [view diff] no match in snippet view article find links to article

paradigm for valuing non-market goods using referendum data - maximum-likelihood estimation by censored logistic-regression, Cameron TA, Vol. 15(3) 355–379

Danyu Lin (1,680 words) [view diff] exact match in snippet view article find links to article

major theoretical and computational advances in nonparametric maximum likelihood estimation of transformation models, random-effects models, and interval-censored

Michel Bierlaire (422 words) [view diff] no match in snippet view article find links to article

modelling. He leads Biogeme, an open-source Python package for maximum-likelihood estimation of discrete-choice models. Bierlaire created several massive

William Greene (economist) (321 words) [view diff] exact match in snippet view article

doi:10.2307/1913323. JSTOR 1913323. Greene, William H. (1980). "Maximum likelihood estimation of econometric frontier functions". Journal of Econometrics

Exponential family random graph models (3,848 words) [view diff] case mismatch in snippet view article find links to article

Antonietta; Robins, Garry; Lomi, Alessandro (2018-07-31). "Fast Maximum Likelihood Estimation via Equilibrium Expectation for Large Network Data". Scientific

Minimum chi-square estimation (680 words) [view diff] no match in snippet view article find links to article

hypothesis is true. However, that is not in general the case when maximum-likelihood estimation is used. It is however true asymptotically when minimum chi-square

Nakagami distribution (1,243 words) [view diff] no match in snippet view article find links to article

maximum-likelihood estimate of (m,σ). Because of the equivariance of maximum-likelihood estimation, a maximum likelihood estimate for Ω is obtained as well. The

Psychometric software (4,397 words) [view diff] exact match in snippet view article find links to article

application of master’s partial credit model. The app adopts marginal maximum likelihood estimation and leverages off a total 31 open-source R packages (including

Method of moments (statistics) (1,934 words) [view diff] exact match in snippet view article

not be known, and moment-based estimates may be preferred to maximum likelihood estimation. The equations to be solved in the method of moments (MoM) are

Weiwen Miao (172 words) [view diff] case mismatch in snippet view article find links to article

master's degree and a Ph.D. there. Her 1995 doctoral dissertation, Maximum Likelihood Estimation for Exponential Families, was supervised by Marjorie Hahn. After

Shape parameter (377 words) [view diff] exact match in snippet view article find links to article

moments, but linear estimators also exist, such as the L-moments. Maximum likelihood estimation can also be used. The following continuous probability distributions

Generalized inverse Gaussian distribution (1,357 words) [view diff] exact match in snippet view article find links to article

MR 1299979 Karlis, Dimitris (2002). "An EM type algorithm for maximum likelihood estimation of the normal–inverse Gaussian distribution". Statistics & Probability

Caroline Uhler (475 words) [view diff] exact match in snippet view article find links to article

of Business in 2011. Her doctoral dissertation, Geometry of maximum likelihood estimation in Gaussian graphical models, was supervised by Bernd Sturmfels

Gale J. Young (499 words) [view diff] exact match in snippet view article find links to article

1007/BF02478173. (See Julius Bernstein.) Young, Gale (1941). "Maximum likelihood estimation and factor analysis". Psychometrika. 6: 49–53. doi:10.1007/bF02288574

Coefficient of determination (6,222 words) [view diff] exact match in snippet view article find links to article

determination when both can be computed; Its value is maximised by the maximum likelihood estimation of a model; It is asymptotically independent of the sample size;

Log probability (938 words) [view diff] case mismatch in snippet view article find links to article

Papadopoulos, Alecos (September 25, 2013). "Why we always put log() before the joint pdf when we use MLE (Maximum likelihood Estimation)?". Stack Exchange.

Vine copula (3,037 words) [view diff] exact match in snippet view article find links to article

proposed (e.g., ). Vine researchers have developed algorithms for maximum likelihood estimation and simulation of vine copulas, finding truncated vines that

Generalized estimating equation (1,308 words) [view diff] case mismatch in snippet view article find links to article

Fitzmaurice, Garrett M.; Horton, Nicholas J. (October 2006). "Maximum Likelihood Estimation of Marginal Pairwise Associations with Multiple Source Predictors"

Confirmatory factor analysis (3,482 words) [view diff] case mismatch in snippet view article find links to article

of Categorical Diagonally Weighted Least Squares and Robust Maximum Likelihood Estimation". Structural Equation Modeling. 21 (1): 102–116. doi:10.1080/10705511

Graphical lasso (708 words) [view diff] case mismatch in snippet view article find links to article

Laurent El (2005-06-08). "Sparse Covariance Selection via Robust Maximum Likelihood Estimation". arXiv:cs/0506023. Friedman, Jerome and Hastie, Trevor and

Montgomery Slatkin (341 words) [view diff] no match in snippet view article find links to article

original on 2021-01-30. Excoffier, L.; Slatkin, M. (1995). "Maximum-likelihood estimation of molecular haplotype frequencies in a diploid population"

U. Narayan Bhat (473 words) [view diff] case mismatch in snippet view article find links to article

Stat. Plan. and Inf., 61 (1997), 355–372 (with G. K. Miller). Maximum Likelihood Estimation for Single Server Queues from Waiting Time Data, Queueing Systems

Information integration theory (649 words) [view diff] exact match in snippet view article find links to article

New York: Academic Press. Norman, K. L. (1973). A method of maximum likelihood estimation for information integration models. (CHIP No. 35). La Jolla

Beta distribution (40,689 words) [view diff] exact match in snippet view article find links to article

in maximum likelihood estimation, see section "Parameter estimation, maximum likelihood." Actually, when performing maximum likelihood estimation, besides

Multilevel model (4,930 words) [view diff] exact match in snippet view article find links to article

researcher must decide whether to employ a maximum likelihood estimation or a restricted maximum likelihood estimation type. A random intercepts model is a

Supervised learning (2,781 words) [view diff] exact match in snippet view article find links to article

P(y|x)} , then empirical risk minimization is equivalent to maximum likelihood estimation. When G {\displaystyle G} contains many candidate functions

Daniel Dugué (485 words) [view diff] exact match in snippet view article find links to article

thesis, Dugué proves several theorems in the theory of the maximum likelihood estimation combining results and tools from probability theory, such as

Generalized logistic distribution (3,811 words) [view diff] no match in snippet view article find links to article

[ y ] {\displaystyle k^{2}\neq {\text{var}}[y]} . Moreover maximum-likelihood estimation with this parametrization is hard. These problems can be addressed

Nowcasting (economics) (1,230 words) [view diff] case mismatch in snippet view article

June 2015. Bańbura, Marta; Modugno, Michele (2012-11-12). "Maximum Likelihood Estimation of Factor Models on Datasets with Arbitrary Pattern of Missing

Linear-nonlinear-Poisson cascade model (889 words) [view diff] exact match in snippet view article find links to article

de Ruyter van Steveninck, R. R. (2000). Paninski, L. (2004) Maximum likelihood estimation of cascade point-process neural encoding models. In Network:

Richard Samworth (467 words) [view diff] exact match in snippet view article find links to article

Cule, Madeleine; Samworth, Richard; Stewart, Michael (2010). "Maximum likelihood estimation of a multi-dimensional log-concave density". Journal of the

Oversampled binary image sensor (1,565 words) [view diff] exact match in snippet view article find links to article

(x)} from the binary measurement b m {\displaystyle b_{m}} . Maximum likelihood estimation can be used for solving this problem. Fig. 4 shows the results

Herman Wold (1,141 words) [view diff] no match in snippet view article find links to article

literature contained some exaggerated claims for the superiority of maximum-likelihood estimation. In 1945 to 1965, Wold proposed and elaborated on his "recursive

Rasch model (5,229 words) [view diff] exact match in snippet view article find links to article

parameters. This result is achieved through the use of conditional maximum likelihood estimation, in which the response space is partitioned according to person

Variance function (4,512 words) [view diff] exact match in snippet view article find links to article

important role in parameter estimation and inference. In general, maximum likelihood estimation requires that a likelihood function be defined. This requirement

Christopher A. Sims (1,136 words) [view diff] exact match in snippet view article find links to article

doi:10.2307/1912017. JSTOR 1912017. Sargan, J.D. (1961). The maximum likelihood estimation of economic relationships with autoregressive residuals. Econometrica

John Nelder (727 words) [view diff] exact match in snippet view article find links to article

proposed an iteratively reweighted least squares method for maximum likelihood estimation of the model parameters. In statistical inference, Nelder (along

Rice distribution (3,232 words) [view diff] case mismatch in snippet view article find links to article

Sijbers J., den Dekker A. J., Scheunders P. and Van Dyck D., "Maximum Likelihood estimation of Rician distribution parameters" Archived 19 October 2011

Dynamic unobserved effects model (1,406 words) [view diff] exact match in snippet view article find links to article

inside the likelihood function when estimating the model by maximum likelihood estimation (MLE). Expectation Maximum (EM) algorithm is usually a good

Sherri Rose (1,077 words) [view diff] case mismatch in snippet view article find links to article

Payment Calibration." Another one of her studies, titled Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies, was selected

John Urschel (1,959 words) [view diff] case mismatch in snippet view article find links to article

Brunel, Ankur Moitra, Philippe Rigollet, John C. Urschel. "Maximum Likelihood Estimation of Determinantal Point Processes", Preprint, arXiv:1701.06501

Patrick Minford (1,870 words) [view diff] case mismatch in snippet view article find links to article

Economics, 5, 1979, 67–80. R. Fair and J. Taylor, "Solution and Maximum Likelihood Estimation of Dynamic Nonlinear Rational Expectations Models" Econometrica

Founders of statistics (2,164 words) [view diff] no match in snippet view article find links to article

estimation methods (with Legendre). Used loss functions and maximum-likelihood estimation Quetelet, Adolphe Belgian 1796 1874 Pioneered the use of probability

Autologistic actor attribute models (1,079 words) [view diff] exact match in snippet view article find links to article

hypothesis testing), is conducted using Markov chain Monte Carlo maximum likelihood estimation (MCMC-MLE), building on approaches such as the Metropolis–Hastings

Friendship paradox (3,342 words) [view diff] case mismatch in snippet view article find links to article

Nettasinghe, Buddhika; Krishnamurthy, Vikram (2021-05-19). "Maximum Likelihood Estimation of Power-law Degree Distributions via Friendship Paradox-based

Truncated distribution (1,732 words) [view diff] exact match in snippet view article find links to article

Schmitz, Lukas Christopher; Thomas, Anthony W. (September 2024). "Maximum likelihood estimation for left-truncated log-logistic distributions with a given truncation

Control function (econometrics) (1,163 words) [view diff] exact match in snippet view article

would be possible to estimate the relevant parameters by quasi-maximum likelihood estimation (QMLE). Following the two step procedure strategies, Wooldridge

Folded normal distribution (3,424 words) [view diff] exact match in snippet view article find links to article

parameters of the folded normal. All of them are essentially the maximum likelihood estimation procedure, but in some cases, a numerical maximization is performed

Law of comparative judgment (1,928 words) [view diff] case mismatch in snippet view article find links to article

statistical conditioning during the process of Conditional Maximum Likelihood estimation. With this in mind, the specification of uniform discriminal

Marcus Alexis (536 words) [view diff] exact match in snippet view article find links to article

Haines Jr, George H., Leonard S. Simon, and Marcus Alexis. "Maximum likelihood estimation of central-city food trading areas." Journal of marketing research

Yacine Aït-Sahalia (1,107 words) [view diff] no match in snippet view article find links to article

from a base density, makes it possible to accurately implement maximum-likelihood estimation of an arbitrary parametric continuous-time model using only

Herman Otto Hartley (1,040 words) [view diff] no match in snippet view article find links to article

10482018. JSTOR 2681662. Hartley, H. O.; Rao, J. N. K. (1967). "Maximum-Likelihood Estimation for the Mixed Analysis of Variance Model". Biometrika. 54 (1/2):

Richardson–Lucy deconvolution (2,158 words) [view diff] no match in snippet view article find links to article

{E_{i}^{m_{i}}e^{-E_{i}}}{m_{i}!}}.} Since in the context of maximum-likelihood estimation the aim is to locate the maximum of the likelihood function

Unit root (2,099 words) [view diff] case mismatch in snippet view article find links to article

2307/1912252. JSTOR 1912252. Sargan, J. D.; Bhargava, Alok (1983). "Maximum Likelihood Estimation of Regression Models with First Order Moving Average Errors

Richard Loree Anderson (738 words) [view diff] exact match in snippet view article find links to article

Walter, W. Stroup; Evans, James W.; Anderson, R. L. (1980). "Maximum likelihood estimation of variance components in a completely random bib design". Communications

Monotone likelihood ratio (1,819 words) [view diff] no match in snippet view article find links to article

monotonicity comes in handy in statistics, particularly when using maximum-likelihood estimation. Also, distribution families with MLR have a number of well-behaved

Ziheng Yang (2,359 words) [view diff] no match in snippet view article find links to article

1007/bf01734359. PMID 7288891. S2CID 8024924. Yang, Ziheng (1993). "Maximum-likelihood estimation of phylogeny from DNA sequences when substitution rates differ

Outlier (3,492 words) [view diff] case mismatch in snippet view article find links to article

Retrieved 2025-02-09. Thompson .R. (1985). "A Note on Restricted Maximum Likelihood Estimation with an Alternative Outlier Model".Journal of the Royal Statistical

Information matrix test (577 words) [view diff] case mismatch in snippet view article find links to article

the test generally performs poorly. White, Halbert (1982). "Maximum Likelihood Estimation of Misspecified Models". Econometrica. 50 (1): 1–25. doi:10

Consensus clustering (2,951 words) [view diff] exact match in snippet view article find links to article

solution. Topchy et al.: They defined clustering aggregation as a maximum likelihood estimation problem, and they proposed an EM algorithm for finding the consensus

Stochastic volatility (2,443 words) [view diff] exact match in snippet view article find links to article

likely given the observed data. One popular technique is to use maximum likelihood estimation (MLE). For instance, in the Heston model, the set of model parameters

Uncertainty quantification (4,042 words) [view diff] exact match in snippet view article find links to article

as hyperparameters of the GP model, need to be estimated via maximum likelihood estimation (MLE). This module can be considered as a generalized kriging

Jon A. Wellner (637 words) [view diff] case mismatch in snippet view article find links to article

Wellner, Jon A. (1992). Information Bounds and Nonparametric Maximum Likelihood Estimation. Basel: Springer. ISBN 978-3-7643-2794-1. OCLC 26308177. Bickel

Fay–Herriot model (1,066 words) [view diff] exact match in snippet view article find links to article

effects are estimated together iteratively. Methods can include maximum likelihood estimation, the method of moments, or a Bayesian way. Fay–Herriot models

John B. Taylor (3,190 words) [view diff] exact match in snippet view article find links to article

JSTOR 1911962. Taylor, John B.; Fair, Ray C. (July 1983). "Solution and maximum likelihood estimation of dynamic nonlinear rational expectations models". Econometrica

Polytomous Rasch model (2,723 words) [view diff] exact match in snippet view article find links to article

response data through an estimation process such as Conditional Maximum likelihood estimation. In general, the central feature of the measurement process

Missing data (3,302 words) [view diff] exact match in snippet view article find links to article

approaches: The expectation-maximization algorithm full information maximum likelihood estimation Discriminative approaches: Max-margin classification of data

Neural modeling fields (3,230 words) [view diff] exact match in snippet view article find links to article

smaller amount of data N. For example, an asymptotically unbiased maximum likelihood estimation leads to multiplicative p(N,M) = exp(-Npar/2), where Npar is

Characteristic function (probability theory) (5,246 words) [view diff] exact match in snippet view article

the density are not available which makes implementation of maximum likelihood estimation difficult. Estimation procedures are available which match the

William Schull (2,063 words) [view diff] exact match in snippet view article find links to article

T. E. and Schull, W. J. (1968) Letter to editor: A general maximum likelihood estimation program. Am. J. Hum. Genet. 20:579-580. Harburg, E., Erfurt

Pattern recognition (4,373 words) [view diff] exact match in snippet view article find links to article

find the simplest possible model. Essentially, this combines maximum likelihood estimation with a regularization procedure that favors simpler models over

Frank Proschan (737 words) [view diff] case mismatch in snippet view article find links to article

Barlow, Richard E.; Proschan, Frank; Scheuer, Ernest M. (1966). "Maximum Likelihood Estimation and Conservative Confidence Interval Procedures in Reliability

David Forbes Hendry (2,083 words) [view diff] exact match in snippet view article find links to article

(ISBN 0-19-828317-2) Journal articles Hendry, D.F. and P.K. Trivedi (1972). "Maximum likelihood estimation of difference equations with moving-average errors: A simulation

State-space representation (4,753 words) [view diff] case mismatch in snippet view article find links to article

Research, Inc. Bańbura, Marta; Modugno, Michele (2012-11-12). "Maximum Likelihood Estimation of Factor Models on Datasets with Arbitrary Pattern of Missing

Point Cloud Library (3,310 words) [view diff] case mismatch in snippet view article find links to article

Randomized RANSAC SAC_RMSAC - Randomized MSAC SAC_MLESAC - Maximum LikeLihood Estimation SAmple Consensus SAC_PROSAC - PROgressive SAmple Consensus Several

John Rust (2,799 words) [view diff] exact match in snippet view article find links to article

ISSN 0012-9682. JSTOR 1911259. S2CID 154722645. Rust, John (1988). "Maximum likelihood estimation of discrete control processes" (PDF). SIAM Journal on Control

Bayesian inference in phylogeny (5,025 words) [view diff] no match in snippet view article find links to article

York: Academic Press. pp. 21–132. Yang Z (November 1993). "Maximum-likelihood estimation of phylogeny from DNA sequences when substitution rates differ

Stable distribution (5,805 words) [view diff] exact match in snippet view article find links to article

and quantiles for a general stable distribution, and performs maximum likelihood estimation of stable parameters and some exploratory data analysis techniques

Harmonic mean (5,975 words) [view diff] exact match in snippet view article find links to article

With the geometric mean the harmonic mean may be useful in maximum likelihood estimation in the four parameter case. A second harmonic mean (H1 − X)

Cauchy distribution (7,215 words) [view diff] exact match in snippet view article find links to article

solution on a computer is typically required. The benefit of maximum likelihood estimation is asymptotic efficiency; estimating x 0 {\displaystyle x_{0}}

Lagrange multiplier (8,403 words) [view diff] exact match in snippet view article find links to article

method of Lagrange multipliers Lagrange multiplier test in maximum likelihood estimation Lagrangian relaxation Hoffmann, Laurence D.; Bradley, Gerald

Roderick J. A. Little (2,914 words) [view diff] exact match in snippet view article find links to article

authors list (link) Little, R.J.A. & Schluchter, M.D. (1985). "Maximum likelihood estimation for mixed continuous and categorical data with missing values"

Logistic function (7,654 words) [view diff] exact match in snippet view article find links to article

response theory. In particular, the Rasch model forms a basis for maximum likelihood estimation of the locations of objects or persons on a continuum, based

Bradley–Terry model (3,167 words) [view diff] exact match in snippet view article find links to article

competition. The simplest way to estimate the parameters is by maximum likelihood estimation, i.e., by maximizing the likelihood of the observed outcomes

List of publications in statistics (2,828 words) [view diff] no match in snippet view article find links to article

literature." Importance: Topic creator, Breakthrough, Influence Maximum-likelihood estimation for the mixed analysis of variance model Author: H. O. Hartley

Regularized least squares (4,910 words) [view diff] exact match in snippet view article find links to article

regularization, is obtained as a fixed point solution in the maximum likelihood estimation of the parameters. Although the guarantees of convergence are

Zero-inflated model (1,928 words) [view diff] no match in snippet view article find links to article

Vessel Reconstruction in Ultrasound Localization Microscopy by Maximum-Likelihood Estimation of a Zero-Inflated Poisson Model". IEEE Transactions on Ultrasonics

Probabilistic context-free grammar (5,242 words) [view diff] exact match in snippet view article find links to article

The phylogenetic tree, T can be calculated from the model by maximum likelihood estimation. Note that gaps are treated as unknown bases and the summation

Pearson correlation coefficient (8,496 words) [view diff] exact match in snippet view article find links to article

ISBN 978-1-60021-976-4. Garren, Steven T. (15 June 1998). "Maximum likelihood estimation of the correlation coefficient in a bivariate normal model,

Photon-counting computed tomography (2,588 words) [view diff] exact match in snippet view article find links to article

determined from the recorded energy histogram, for example through maximum likelihood estimation. The reconstruction is then performed separately for each material

Poisson distribution (11,158 words) [view diff] exact match in snippet view article find links to article

Speicher, pp. 203–204, Cambridge Univ. Press 2006 Paszek, Ewa. "Maximum likelihood estimation – examples". cnx.org. Van Trees, Harry L. (2013). Detection

Mixture model (7,880 words) [view diff] exact match in snippet view article find links to article

number of components. This is a particular way of implementing maximum likelihood estimation for this problem. EM is of particular appeal for finite normal

Non-negative matrix factorization (7,823 words) [view diff] exact match in snippet view article find links to article

multinomial PCA, probabilistic latent semantic analysis, trained by maximum likelihood estimation. That method is commonly used for analyzing and clustering textual

Structural alignment (5,700 words) [view diff] exact match in snippet view article find links to article

(2006). "Empirical Bayes hierarchical models for regularizing maximum likelihood estimation in the matrix Gaussian Procrustes problem". Proceedings of the

Monte Carlo method (10,729 words) [view diff] exact match in snippet view article find links to article

and estimation". Studies on: Filtering, optimal control, and maximum likelihood estimation. Convention DRET no. 89.34.553.00.470.75.01. Research report

Neural coding (8,572 words) [view diff] exact match in snippet view article find links to article

However, the noise inherent in neural responses means that a maximum likelihood estimation function is more accurate. This type of code is used to encode

Item response theory (6,585 words) [view diff] exact match in snippet view article find links to article

Park, CA: Sage Press. Bock, R.D.; Aitkin, M. (1981). "Marginal maximum likelihood estimation of item parameters: application of an EM algorithm". Psychometrika

Optical heterodyne detection (6,208 words) [view diff] no match in snippet view article find links to article

PMID 18382577. Erkmen, Baris I.; Barber, Zeb W.; Dahl, Jason (2013). "Maximum-likelihood estimation for frequency-modulated continuous-wave laser ranging using

History of statistics (7,769 words) [view diff] exact match in snippet view article find links to article

analysis of variance, Fisher named and promoted the method of maximum likelihood estimation. Fisher also originated the concepts of sufficiency, ancillary

Seismic array (3,235 words) [view diff] no match in snippet view article find links to article

in 1969 and further developed to include wide-band analysis, maximum-likelihood estimation techniques, and three-component data in the 1980s. The methodology

Pearson's chi-squared test (6,699 words) [view diff] exact match in snippet view article find links to article

minimizing the chi-squared statistic. More generally however, when maximum likelihood estimation does not coincide with minimum chi-squared estimation, the distribution

Minflux (1,842 words) [view diff] exact match in snippet view article find links to article

be estimated from the photon numbers, using, for example, a maximum likelihood estimation of the form: r → m ^ = a r g m a x L ( r → ∣ { n 0 , . . .

Quantitative comparative linguistics (7,256 words) [view diff] exact match in snippet view article find links to article

positively misleading - Systematic Zoology 27 (1978). Rogers : Maximum likelihood estimation of phylogenetic trees is consistent when substitution rates

Eric Renault (1,439 words) [view diff] exact match in snippet view article find links to article

simulation-based estimation method that has become widely used when direct maximum likelihood estimation is difficult or infeasible. His work on "Stochastic Volatility"

Mean-field particle methods (8,604 words) [view diff] exact match in snippet view article find links to article

and estimation. Studies on: Filtering, optimal control, and maximum likelihood estimation. Convention DRET no. 89.34.553.00.470.75.01. Research report

Jerry M. Mendel (2,840 words) [view diff] no match in snippet view article find links to article

which involves utilizing state-variable technology (smoothing), maximum-likelihood estimation, and a sparse spike train model to detect reflectors. Mendel

Particle filter (17,006 words) [view diff] exact match in snippet view article find links to article

and estimation. Studies on: Filtering, optimal control, and maximum likelihood estimation. Convention DRET no. 89.34.553.00.470.75.01. Research report

Biological neuron model (14,917 words) [view diff] exact match in snippet view article find links to article

PMID 7903867. S2CID 6195748. Paninski L (November 2004). "Maximum likelihood estimation of cascade point-process neural encoding models". Network: Computation

Ancestral reconstruction (13,044 words) [view diff] exact match in snippet view article find links to article

PMID 14530136. Doornik JA, Ooms M (2003). "Computational aspects of maximum likelihood estimation of autoregressive fractionally integrated moving average models"

Thomas J. Sargent (2,049 words) [view diff] exact match in snippet view article find links to article

[permanent dead link] Sargent, T.J. (1979). "A note on maximum likelihood estimation of the rational expectations model of the term structure" (PDF)