Results 31 to 40 of about 152,582 (189)
Confidence sequences with composite likelihoods
Canadian Journal of Statistics, 2022 AbstractIn dominated parametric statistical models, confidence sequences provide conservatively valid frequentist inference directly from a likelihood ratio. They ensure a specific mode of replicability when inference is performed on accumulating data: inferential conclusions that are compatible with a guaranteed probability when the sample is enlarged,
Pace L., Salvan A., Sartori N.
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Universal inference with composite likelihoods
, 2021 Maximum composite likelihood estimation is a useful alternative to maximum likelihood estimation when data arise from data generating processes (DGPs) that do not admit tractable joint specification. We demonstrate that generic composite likelihoods consisting of marginal and conditional specifications permit the simple construction of composite ...
Nguyen, Hien D +2 more
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On divergence tests for composite hypotheses under composite likelihood
Statistical Papers, 2017 It is well-known that in some situations it is not easy to compute the likelihood function as the datasets might be large or the model is too complex. In that contexts composite likelihood, derived by multiplying the likelihoods of subjects of the variables, may be useful. The extension of the classical likelihood ratio test statistics to the framework
Martín, N., Pardo, L., Zografos, K.
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A Review on Failure Analysis of Date Palm Fiber Reinforced Polymer Composites [PDF]
SVU-International Journal of Engineering Sciences and ApplicationsDate palm fibre (DPF)/polymer composites are being employed extensively in many significant applications recently, including home furnishings, sports equipment, automobile parts, and building insulation systems.
Mustafa Sadek +3 more
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Composite Likelihoods with Bounded Weights in Extrapolation of Data
Journal of Biopharmaceutical Statistics, 2023 Among many efforts to facilitate timely access to safe and effective medicines to children, increased attention has been given to extrapolation. Loosely, it is the leveraging of conclusions or available data from adults or older age groups to draw conclusions for the target pediatric population when it can be assumed that the course of the disease and ...
Margaret Gamalo +3 more
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Composite likelihood inference under boundary conditions [PDF]
, 2020 [[abstract]]Often, when a data-generating process is too complex to specify fully, a standard likelihood-based inference is not available. However, a composite likelihood can provide an inference based on a partial specification of a data-generating ...
Huang, J;Ning, Y;Cai, Y;Liang, KY;Chen, Y
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Composite Empirical Likelihood
, 2015 Paper has been repeatedly rejected as having no real world ...
Jaeger, Adam, Lazar, Nicole
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Clear: Composition of Likelihoods for Evolve And Resequence Experiments [PDF]
Genetics, 2016 Abstract The advent of next generation sequencing technologies has made whole-genome and whole-population sampling possible, even for eukaryotes with large genomes. With this development, experimental evolution studies can be designed to observe molecular evolution “in-action” via Evolve-and-Resequence (E&R) experiments. Among other
Iranmehr, Arya +3 more
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Composite Likelihood Estimation for Restricted Boltzmann machines
CoRR, 2014 Learning the parameters of graphical models using the maximum likelihood estimation is generally hard which requires an approximation. Maximum composite likelihood estimations are statistical approximations of the maximum likelihood estimation which are higher-order generalizations of the maximum pseudo-likelihood estimation.
Muneki Yasuda +3 more
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A note on composite likelihood inference and model selection [PDF]
, 2004 A composite likelihood consists of a combination of valid likelihood objects, usually related to small subsets of data. The merit of composite likelihood is to reduce the computational complexity so that it is possible to deal with large datasets and ...
Vidoni, Paolo +6 more
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