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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…
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National Institutes of Health
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2 relations
CDISC ADaM Derivation Type Terminology
Clinical Data Interchange Standards Consortium Terminology
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Non-parametric fragility curves for bridges using recorded ground motions
Chu V. Mai
,
B. Sudret
,
K. Mackie
,
Božidar StojadinoviÄ
,
K. Konakli
2014
Corpus ID: 54801430
: Seismic fragility curves are commonly used to assess the vulnerability of structures to earthquakes by representing the…
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2012
2012
Static Parameter Estimation for ABC Approximations of Hidden Markov Models
Elena Ehrlich
,
A. Jasra
,
N. Kantas
2012
Corpus ID: 88512189
In this article we focus on Maximum Likelihood estimation (MLE) for the static parameters of hidden Markov models (HMMs). We will…
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2011
2011
Maximum likelihood estimation for the generation of side information in distributed video coding
Frederik Verbist
,
N. Deligiannis
,
+4 authors
J. Cornelis
International Conference on Systems, Signals, and…
2011
Corpus ID: 8910326
The unique requirements imposed by contemporary video communication applications promote the rise of the distributed video coding…
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Review
2011
Review
2011
Stochastic Volatility Models and Simulated Maximum Likelihood Estimation
Ji-Eun Choi
2011
Corpus ID: 153092180
Financial time series studies indicate that the lognormal assumption for the return of an underlying security is often violated…
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2006
2006
Using forecasted information from early returns of used products to set remanufacturing capacity
Suphalat Chittamvanich
,
S. Ryan
2006
Corpus ID: 20517422
We jointly analyze forecasting and capacity management of returned products to evaluate the benefit of information obtained from…
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2005
2005
An exact penalty method for smooth equality constrained optimization with application to maximum likelihood estimation
Wicher P. Bergsma
,
T. Rapcsák
2005
Corpus ID: 123653092
A new exact penalty function is presented which turns a smooth constrained nonlinear optimization problem into an unconstrained…
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2004
2004
A demodulation complexity reduction method using M-algorithm for high compaction multi-carrier modulation systems
Shinji Takahashi
,
M. Hamamura
,
S. Tachikawa
1st International Symposium onWireless…
2004
Corpus ID: 23454277
This paper proposes a demodulation method for high compaction multi-carrier modulation (HC-MCM) using the M-algorithm to reduce…
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1998
1998
Denoising of Sensory Data by Maximum Likelihood Estimation of Sparse Components
Aapo Hyvärinen
1998
Corpus ID: 16863978
Sparse coding is a method for finding a representation of data in which each of the components of the representation is only…
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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
T. Pignon
,
B. Lacarelle
,
+4 authors
R. Favre
Therapeutic Drug Monitoring
1995
Corpus ID: 1020107
Summary Bayesian estimation (BE) of pharmacokinetic parameters enables the clinician to adjust the dosage of high-dose…
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1994
1994
Statistical Identiication of Language
Ted Dunning
1994
Corpus ID: 18260030
A statistically based program has been written which learns to distinguish between languages. The amount of training text that…
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