Results 271 to 280 of about 1,944,688 (296)

Likelihood Asymptotics

Scandinavian Journal of Statistics, 2001
The paper gives an overview of modern likelihood asymptotics with emphasis on results and applicability. Only parametric inference in well‐behaved models is considered and the theory discussed leads to highly accurate asymptotic tests for general smooth hypotheses.
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Likelihood and Partial Likelihood

1988
During the fifty years (1912–1962) that R.A. Fisher dominated the field of statistical research, he came out with many innovative ideas like likelihood, sufficiency, ancillarity, asymptotic efficiency, information and intrinsic accuracy, pivotal quantities and fiducial distribution, conditionality argument and recovery of ancillary information ...
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Marginal likelihood, conditional likelihood and empirical likelihood: Connections and applications

Biometrika, 2005
Marginal likelihood and conditional likelihood are often used for eliminating nuisance parameters. For a parametric model, it is well known that the full likelihood can be decomposed into the product of a conditional likelihood and a marginal likelihood. This property is less transparent in a nonparametric or semiparametric likelihood setting.
Jing Qin, Biao Zhang
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Likelihood and Quasi-Likelihood

2009
In this section the local maximum likelihood approach is introduced as a generalization of the linear LPA. It provides universal tools for designing methods and algorithms for a variety of stochastic models that are different from the standard Gaussian one.
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Probability and Likelihood

2004
This chapter begins with a concise primer, or aide memoire, of probability theory. The fundamentals are recapitulated, drawing on the material of Chap. 4. Moments of distributions are reviewed. The theory of runs (successions of similar events preceded and succeeded by different events), which is useful for analysing nucleic acid sequences and series ...
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Likelihood Imputation

Scandinavian Journal of Statistics, 1998
The method of likelihood imputation is devised under the framework of latent structure models where the observation is a statistic of the complete data which can only be specified on a latent basis. The imputed data set is chosen to differ least from the observed one in their information contents—a concept with general implications for the analysis of ...
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Likelihood and Consilience: On Forster’s Counterexamples to the Likelihood Theory of Evidence

Philosophy of Science, 2015
Forster presented some interesting examples having to do with distinguishing the direction of causal influence between two variables, which he argued are counterexamples to the likelihood theory of evidence. In this article, we refute Forster’s arguments by carefully examining one of the alleged counterexamples.
Zhang , J., Zhang, K.
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The History of Likelihood

International Statistical Review / Revue Internationale de Statistique, 1974
One of R. A. Fisher's most influential papers was "On the mathematical foundations of theoretical statistics" (1922), in which he propounded the method of maximum likelihood as a means of point estimation, and hence established a whole branch of statistical reasoning.
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Accelerated Likelihood Surface Exploration: The Likelihood Ratchet

Systematic Biology, 2003
The existence of multiple likelihood maxima necessitates algorithms that explore a large part of the tree space. However, because of computational constraints, stepwise addition-based tree-searching methods do not allow for this exploration in reasonable time.
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Likelihood of Success

2002
Analysis of the Principle of a Likelihood of ...
Coppieters, Bruno, Fotion, Nick
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