Results 281 to 290 of about 19,296,908 (351)

Classification by likelihood accordance functions

Communications in Statistics - Simulation and Computation, 2021
In this paper, we introduce the likelihood accordance function (LA function for short), which is defined to characterize the accordance of a new observation to be classified with training samples.
Yuqi Long, Xingzhong Xu
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A new soft likelihood function based on power ordered weighted average operator

International Journal of Intelligent Systems, 2019
The likelihood function is widely used in data processing but the classical likelihood function is too strict to deal with data with extreme values in real applications.
Yutong Song, Yong Deng
semanticscholar   +1 more source

Bayesian inference with reliability methods without knowing the maximum of the likelihood function

Probabilistic Engineering Mechanics, 2018
In the BUS (Bayesian Updating with Structural reliability methods) approach, the uncertain parameter space is augmented by a uniform random variable and the Bayesian inference problem is interpreted as a structural reliability problem. A posterior sample
W. Betz, J. Beck, I. Papaioannou, D. Štraub   +3 more
semanticscholar   +1 more source

On the Generalization of the Likelihood Function and the Likelihood Principle

Journal of the American Statistical Association, 1996
Abstract The parametric likelihood and likelihood principle (LP) play a central role in parametric methodology and in the foundations of statistics. The main purpose of this article is to extend the concepts of likelihood and LP to general inferential aims and models covering, for example, prediction and empirical Bayes models.
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A reconfigurable architecture for the Phylogenetic Likelihood Function

2009 International Conference on Field Programmable Logic and Applications, 2009
As FPGA devices become larger, more coarse-grain modules coupled with large scale reconfigurable fabric become available, thus enabling new classes of applications to run efficiently, as compared to a general-purpose computer. This paper presents an architecture that benefits from the large number of DSP modules in Xilinx technology to implement ...
Nikolaos Alachiotis 0001, Alexandros Stamatakis, Euripides Sotiriades, Apostolos Dollas   +3 more
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A genotype likelihood function for DNA mixtures

Forensic Science International: Genetics, 2022
The recent advent of genetic genealogy has brought about a renewed interest in genome-scale forensic analyses, of which kinship estimation is a critical component. Most genomic kinship estimators consider SNPs (single nucleotide polymorphisms), often leveraging the co-inheritance of shared alleles to inform their analyses.
Benjamin, Crysup, August E, Woerner
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Comparing the Likelihood Functions of Phylogenetic Trees

Annals of the Institute of Statistical Mathematics, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bar-Hen, A., Kishino, H.
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Assigning a Likelihood Function

2020
As scientists, we want to know how to parameterise our models, make comparisons with other models, and quantify model predictive uncertainty. For all these purposes, measurement data are needed, but how exactly should we use the data? The answer is always the same: in the likelihood function.
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A projected likelihood function for semiparametric models

Biometrika, 1992
Summary: In a sequence of papers, the first author [Can J. Stat. 12, 265-282 (1984; Zbl 0574.62084)], \textit{J. E. Hutton} and \textit{P. I. Nelson} [Stochastic Processes Appl. 22, 245-257 (1986; Zbl 0616.62113)], and \textit{V. P. Godambe} and \textit{C. C. Heyde} [Int. Stat. Rev.
McLeish, D. L., Small, Christopher G.
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The Plausibility and Likelihood Functions

2003
The notion of likelihood is an important concept in modern statistics. In particular, the likelihood ratio has been used by several authors [19, 37] to measure the strength of the evidence represented by observations in statistical problems. This idea works fine when the goal is to evaluate the strength of the available evidence for a simple hypothesis
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