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## Search Articles

2001, Monographs on statistics and applied probability, ISBN 9781584880714, Volume 92., xv, 304

Book

2011, 1. Aufl., Statistics in practice, ISBN 0470094826, Volume 112, xvi, 357

This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference...

Estimation theory | mathematical models | Probability & Statistics | General | Mathematics | Mathematical models | Chance

Estimation theory | mathematical models | Probability & Statistics | General | Mathematics | Mathematical models | Chance

Book

2006, Foundations and trends in communications and information theory, ISBN 9781933019321, Volume 3 issue 1/2, 2006., Issue 1/2, ix, 225

This article is focused on the performance evaluation of linear codes under optimal maximum-likelihood (ML) decoding...

Coding theory | Error-correcting codes (Information theory) | Decoders (Electronics)

Coding theory | Error-correcting codes (Information theory) | Decoders (Electronics)

Book

2009, Statistics, textbooks and monographs, ISBN 142006424X, xiii, 354 p., [2] p. of plates

Book

2009, 2nd ed., Wiley series in probability and statistics, ISBN 9780470129906, xvi, 354

A new edition of the classic, groundbreaking book on robust statisticsOver twenty-five years after the publication of its predecessor, Robust Statistics, Second Edition continues to provide...

Robust statistics

Robust statistics

Book

Journal of the American Statistical Association, ISSN 0162-1459, 03/2010, Volume 105, Issue 489, pp. 263 - 277

.... However, their application is complicated due to the unavailability of the multivariate density function, and so likelihood-based methods remain far from providing a complete and flexible framework for inference...

Pseudo-likelihood | Rainfall | Spatial dependence | Spatial extremes | Extreme value theory | Multivariate extreme analysis | Maximum likelihood estimation | Covariance | Theory and Methods | Inference | Matrices | Spatial models | Modeling | Parametric models | Estimators | Perceptual localization | Distribution functions | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Causal inference | Maximum likelihood estimates (Statistics) | Analysis | Methods | Research | Stochastic models | Multivariate analysis | Statistics | Max-stable processes

Pseudo-likelihood | Rainfall | Spatial dependence | Spatial extremes | Extreme value theory | Multivariate extreme analysis | Maximum likelihood estimation | Covariance | Theory and Methods | Inference | Matrices | Spatial models | Modeling | Parametric models | Estimators | Perceptual localization | Distribution functions | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Causal inference | Maximum likelihood estimates (Statistics) | Analysis | Methods | Research | Stochastic models | Multivariate analysis | Statistics | Max-stable processes

Journal Article

2001, ISBN 0198507658, xiii, 528

Book

IEEE transactions on communications, ISSN 0090-6778, 05/2016, Volume 64, Issue 5, pp. 2005 - 2018

...) for each antenna element. In this paper, a near maximum likelihood (nML) detector for uplink multiuser massive MIMO systems is proposed where each antenna is connected to a pair of one-bit ADCs, i.e...

Maximum likelihood estimation | Base stations | Channel estimation | Detectors | MIMO | Uplink | Antennas | Engineering, Electrical & Electronic | Engineering | Telecommunications | Technology | Science & Technology | Usage | Maximum likelihood estimates (Statistics) | Convex programming | Analysis | Analog to digital converters | MIMO communications

Maximum likelihood estimation | Base stations | Channel estimation | Detectors | MIMO | Uplink | Antennas | Engineering, Electrical & Electronic | Engineering | Telecommunications | Technology | Science & Technology | Usage | Maximum likelihood estimates (Statistics) | Convex programming | Analysis | Analog to digital converters | MIMO communications

Journal Article

The Annals of statistics, ISSN 0090-5364, 2/2011, Volume 39, Issue 1, pp. 474 - 513

.... We prove that the maximum likelihood estimator (MLE) of the parameter is strongly consistent under a rather minimal set of assumptions...

Ergodic theory | Integers | Maximum likelihood estimation | Economic models | Identifiability | Markov chains | Maximum likelihood estimators | Markov models | Entropy | Density | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Studies | Probability | Markov analysis | Normal distribution | Estimates | Statistics | 62M10 | 60F10 | 62M05 | strong consistency | 62M09 | maximum likelihood estimation | state space models | 62B10 | Hidden Markov models | 94A17 | concentration inequalities | 60J05 | V-uniform ergodicity | 62F12 | strong | space models | consistency | Naturvetenskap | state | Natural Sciences | Matematik | Sannolikhetsteori och statistik | Probability Theory and Statistics

Ergodic theory | Integers | Maximum likelihood estimation | Economic models | Identifiability | Markov chains | Maximum likelihood estimators | Markov models | Entropy | Density | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Studies | Probability | Markov analysis | Normal distribution | Estimates | Statistics | 62M10 | 60F10 | 62M05 | strong consistency | 62M09 | maximum likelihood estimation | state space models | 62B10 | Hidden Markov models | 94A17 | concentration inequalities | 60J05 | V-uniform ergodicity | 62F12 | strong | space models | consistency | Naturvetenskap | state | Natural Sciences | Matematik | Sannolikhetsteori och statistik | Probability Theory and Statistics

Journal Article

Statistica Sinica, ISSN 1017-0405, 2021

Journal Article

Statistics and computing, ISSN 0960-3174, 7/2017, Volume 27, Issue 4, pp. 1049 - 1063

...Stat Comput (2017) 27:1049–1063
DOI 10.1007/s11222-016-9670-1
V ariable selection for model-based clustering using the integrated
complete-data likelihood...

Statistics and Computing/Statistics Programs | Information criterion | Model-based clustering | Artificial Intelligence (incl. Robotics) | Statistical Theory and Methods | Integrated complete-data likelihood | Statistics | Gaussian mixture model | Probability and Statistics in Computer Science | Variable selection | Statistics & Probability | Physical Sciences | Technology | Computer Science | Computer Science, Theory & Methods | Mathematics | Science & Technology | Usage | Models | Algorithms | Mathematical optimization | Analysis | Cluster analysis | Parameter estimation | Computer simulation | Regularization methods | Mathematical models | Maximum likelihood estimates | Criteria | Clustering | Regularization | Combinatorial analysis | Optimization | Statistics - Methodology

Statistics and Computing/Statistics Programs | Information criterion | Model-based clustering | Artificial Intelligence (incl. Robotics) | Statistical Theory and Methods | Integrated complete-data likelihood | Statistics | Gaussian mixture model | Probability and Statistics in Computer Science | Variable selection | Statistics & Probability | Physical Sciences | Technology | Computer Science | Computer Science, Theory & Methods | Mathematics | Science & Technology | Usage | Models | Algorithms | Mathematical optimization | Analysis | Cluster analysis | Parameter estimation | Computer simulation | Regularization methods | Mathematical models | Maximum likelihood estimates | Criteria | Clustering | Regularization | Combinatorial analysis | Optimization | Statistics - Methodology

Journal Article

IEEE transactions on signal processing, ISSN 1053-587X, 07/2016, Volume 64, Issue 13, pp. 3495 - 3508

We are motivated by problems that arise in a number of applications such as Online Marketing and Explosives detection, where the observations are usually modeled using Poisson statistics...

Maximum likelihood estimation | regularized maximum likelihood | Upper bound | Poisson model selection | optimal minimax estimator | sparse recovery | Explosives | Sensors | Sparse matrices | Photonics | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Poisson's equation | Usage | Random noise theory | Maximum likelihood estimates (Statistics) | Economic models | Random variables | Statistics - Machine Learning

Maximum likelihood estimation | regularized maximum likelihood | Upper bound | Poisson model selection | optimal minimax estimator | sparse recovery | Explosives | Sensors | Sparse matrices | Photonics | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Poisson's equation | Usage | Random noise theory | Maximum likelihood estimates (Statistics) | Economic models | Random variables | Statistics - Machine Learning

Journal Article

Statistical papers (Berlin, Germany), ISSN 0932-5026, 12/2019, Volume 60, Issue 6, pp. 1883 - 1919

.... The extension of the classical likelihood ratio test statistics to the framework of composite likelihoods is used as a procedure to solve the problem of testing in the context of composite likelihood...

Statistics for Business, Management, Economics, Finance, Insurance | Economic Theory/Quantitative Economics/Mathematical Methods | Composite likelihood | Probability Theory and Stochastic Processes | Maximum composite likelihood estimator | Statistics | Restricted maximum composite likelihood estimator | 62B10 | Operations Research/Decision Theory | Composite likelihood $$\phi $$ ϕ -divergence test-statistics | 62F30 | 62F03 | 62F05 | Composite likelihood ϕ-divergence test-statistics | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Null hypothesis | Hypotheses | Divergence | Likelihood ratio | Regression analysis | Maximum likelihood estimates | Statistical tests

Statistics for Business, Management, Economics, Finance, Insurance | Economic Theory/Quantitative Economics/Mathematical Methods | Composite likelihood | Probability Theory and Stochastic Processes | Maximum composite likelihood estimator | Statistics | Restricted maximum composite likelihood estimator | 62B10 | Operations Research/Decision Theory | Composite likelihood $$\phi $$ ϕ -divergence test-statistics | 62F30 | 62F03 | 62F05 | Composite likelihood ϕ-divergence test-statistics | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Null hypothesis | Hypotheses | Divergence | Likelihood ratio | Regression analysis | Maximum likelihood estimates | Statistical tests

Journal Article

Statistics and computing, ISSN 0960-3174, 9/2015, Volume 25, Issue 5, pp. 863 - 875

.... However, the maximum likelihood estimates cannot be obtained when the number of variables is much larger than the number of observations...

Statistics and Computing/Statistics Programs | Nonconvex penalty | Factor analysis | Rotation technique | Coordinate descent algorithm | Artificial Intelligence (incl. Robotics) | Statistical Theory and Methods | Statistics | Penalized likelihood | Probability and Statistics in Computer Science | Statistics & Probability | Physical Sciences | Technology | Computer Science | Computer Science, Theory & Methods | Mathematics | Science & Technology | Medical colleges | Monte Carlo method | Models | Algorithms | Analysis | Monte Carlo methods | Computer simulation | Strategy | Mathematical models | Maximum likelihood estimates

Statistics and Computing/Statistics Programs | Nonconvex penalty | Factor analysis | Rotation technique | Coordinate descent algorithm | Artificial Intelligence (incl. Robotics) | Statistical Theory and Methods | Statistics | Penalized likelihood | Probability and Statistics in Computer Science | Statistics & Probability | Physical Sciences | Technology | Computer Science | Computer Science, Theory & Methods | Mathematics | Science & Technology | Medical colleges | Monte Carlo method | Models | Algorithms | Analysis | Monte Carlo methods | Computer simulation | Strategy | Mathematical models | Maximum likelihood estimates

Journal Article

The Annals of statistics, ISSN 0090-5364, 02/2001, Volume 29, Issue 1, pp. 153 - 193

.... Maximum likelihood ratio test statistics in general may not exist in nonparametric function estimation setting...

Hypothesis testing | Maximum likelihood estimation | Null hypothesis | Statistical theories | Ratio test | Nonparametric Testing | Regression analysis | Nonparametric models | Statistics | Parametric models | Estimators | Nonparametric test | Optimal rates | Generalized likelihood | Wilks thoerem | Asymptotic null distribution | Gaussian white noise models | Power function | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | generalized likelihood | 62G07 | asymptotic null distribution | nonparametric test | 62G10 | optimal rates | power function | Wilks theorem | 62J12

Hypothesis testing | Maximum likelihood estimation | Null hypothesis | Statistical theories | Ratio test | Nonparametric Testing | Regression analysis | Nonparametric models | Statistics | Parametric models | Estimators | Nonparametric test | Optimal rates | Generalized likelihood | Wilks thoerem | Asymptotic null distribution | Gaussian white noise models | Power function | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | generalized likelihood | 62G07 | asymptotic null distribution | nonparametric test | 62G10 | optimal rates | power function | Wilks theorem | 62J12

Journal Article

2000, Oxford statistical science series, ISBN 0198506503, Volume 22, xi, 380

Book

17.
Full Text
Estimates Based on Sequential Order Statistics with the Two-Parameter Pareto Distribution

Bulletin of the Malaysian Mathematical Sciences Society, ISSN 2180-4206, 05/2018, Volume 42, Issue 5, pp. 2897 - 2914

.... Maximum likelihood estimates of parameters of interest are investigated based on multiple SOSs...

Maximum likelihood estimation | Bayesian estimation | Sequential order statistics | Pareto distribution | Mathematics, general | Lindley’s approximation | Mathematics | Applications of Mathematics | Physical Sciences | Science & Technology | Parameter estimation | Computer simulation | Mathematical models | Estimating techniques | Maximum likelihood estimates | Estimates | Bayesian analysis | Monte Carlo simulation | Estimators

Maximum likelihood estimation | Bayesian estimation | Sequential order statistics | Pareto distribution | Mathematics, general | Lindley’s approximation | Mathematics | Applications of Mathematics | Physical Sciences | Science & Technology | Parameter estimation | Computer simulation | Mathematical models | Estimating techniques | Maximum likelihood estimates | Estimates | Bayesian analysis | Monte Carlo simulation | Estimators

Journal Article

IEEE transactions on signal processing, ISSN 1053-587X, 05/2010, Volume 58, Issue 5, pp. 2509 - 2520

... maximum likelihood-type (GM) estimator based on Schweppe's proposal and the Huber function, which has a high statistical efficiency at the Gaussian distribution...

Linear systems | Electric breakdown | Redundancy | Kalman filter | Gaussian distribution | Impulsive noise | Noise generators | outliers | Proposals | prewhitening | Contamination | Counting circuits | Filters |

Linear systems | Electric breakdown | Redundancy | Kalman filter | Gaussian distribution | Impulsive noise | Noise generators | outliers | Proposals | prewhitening | Contamination | Counting circuits | Filters |