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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… 
National Institutes of Health

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CDISC ADaM Derivation Type TerminologyClinical Data Interchange Standards Consortium Terminology

Papers overview

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2018
2018
Speckle Suppression of Ultrasonography Using Maximum Likelihood Estimation and Weighted Nuclear Norm Minimization
Speckle noise corrupts medical ultrasound images and suppression of speckle noise is valuable for image interpretation. This… 
2016
2016
Comparing Maximum Likelihood and Generalized Method of Moments in Short Term Interest Rate Models
In this thesis we will look at some different continuous models for predicting the short term interest rate, and focus on the… 
2014
2014
Non-parametric fragility curves for bridges using recorded ground motions
: Seismic fragility curves are commonly used to assess the vulnerability of structures to earthquakes by representing the… 
2012
2012
Static Parameter Estimation for ABC Approximations of Hidden Markov Models
In this article we focus on Maximum Likelihood estimation (MLE) for the static parameters of hidden Markov models (HMMs). We will… 
2011
2011
Maximum likelihood estimation for the generation of side information in distributed video coding
The unique requirements imposed by contemporary video communication applications promote the rise of the distributed video coding… 
Review
2011
Review
2011
Stochastic Volatility Models and Simulated Maximum Likelihood Estimation
Financial time series studies indicate that the lognormal assumption for the return of an underlying security is often violated… 
2005
2005
An exact penalty method for smooth equality constrained optimization with application to maximum likelihood estimation
A new exact penalty function is presented which turns a smooth constrained nonlinear optimization problem into an unconstrained… 
2004
2004
A demodulation complexity reduction method using M-algorithm for high compaction multi-carrier modulation systems
This paper proposes a demodulation method for high compaction multi-carrier modulation (HC-MCM) using the M-algorithm to reduce… 
1995
1995
Dosage Adjustment of High‐Dose Methotrexate Using Bayesian Estimation: A Comparative Study of Two Different Concentrations at the End of 8‐h Infusions
Summary Bayesian estimation (BE) of pharmacokinetic parameters enables the clinician to adjust the dosage of high-dose… 
1994
1994
Statistical Identiication of Language
A statistically based program has been written which learns to distinguish between languages. The amount of training text that…