Maximum Likelihood Estimation

Known as: ML 
A method for estimating population characteristics based on limited data by choosing the sample values that make the data most likely to represent… (More)
National Institutes of Health

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Papers overview

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Highly Cited
2010
Highly Cited
2010
Collaborative double robust targeted maximum likelihood estimation.
Collaborative double robust targeted maximum likelihood estimators represent a fundamental further advance over standard targeted… (More)
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Highly Cited
2009
Highly Cited
2009
Iterative Weighted Maximum Likelihood Denoising With Probabilistic Patch-Based Weights
Image denoising is an important problem in image processing since noise may interfere with visual or automatic interpretation… (More)
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Highly Cited
2006
Highly Cited
2006
ml-relate : a computer program for maximum likelihood estimation of relatedness and relationship
Genetic data are useful for estimating the genealogical relationship or relatedness between individuals of unknown ancestry. We… (More)
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Highly Cited
2005
Highly Cited
2005
Maximum likelihood estimation via the ECM algorithm : A general framework
Two major reasons for the popularity of the EM algorithm are that its maximum step involves only complete-data maximum likelihood… (More)
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Highly Cited
2005
Highly Cited
2005
Maximum likelihood inference of protein phylogeny and the origin of chloroplasts
A maximum likelihood method for inferring protein phylogeny was developed. It is based on a Markov model that takes into account… (More)
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Highly Cited
2002
Highly Cited
2002
Quantile maximum likelihood estimation of response time distributions.
We introduce and evaluate via a Monte Carlo study a robust new estimation technique that fits distribution functions to grouped… (More)
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Highly Cited
2002
Highly Cited
2002
Range-Based Estimation of Stochastic Volatility Models
We propose using the price range in the estimation of stochastic volatility models. We show theoretically, numerically, and… (More)
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Highly Cited
2002
Highly Cited
2002
Multifrequency InSAR height reconstruction through maximum likelihood estimation of local planes parameters
In this paper, a technique that is able to reconstruct highly sloped and discontinuous terrain height profiles, starting from… (More)
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Highly Cited
2001
Highly Cited
2001
AR spectral analysis of EEG signals by using maximum likelihood estimation
In this study, EEG signals were analyzed using autoregressive (AR) method. Parameters in AR method were realized by using maximum… (More)
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Highly Cited
1999
Highly Cited
1999
Sparse code shrinkage: denoising of nongaussian data by maximum likelihood estimation
Sparse coding is a method for finding a representation of data in which each of the components of the representation is only… (More)
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