Results 11 to 20 of about 152,582 (189)
Composite likelihood inference by nonparametric saddlepoint tests [PDF]
Computational Statistics & Data Analysis, 2014 The class of composite likelihood functions provides a flexible and powerful toolkit to carry out approximate inference for complex statistical models when the full likelihood is either impossible to specify or unfeasible to compute. However, the strenght of the composite likelihood approach is dimmed when considering hypothesis testing about a ...
Lunardon, Nicola, Ronchetti, Elvezio
core +9 more sources
Genome scanning by composite likelihood. [PDF]
Am J Hum Genet, 2007 Ambitious programs have recently been advocated or launched to create genomewide databases for meta-analysis of association between DNA markers and phenotypes of medical and/or social concern. A necessary but not sufficient condition for success in association mapping is that the data give accurate estimates of both genomic location and its standard ...
Morton N +4 more
europepmc +6 more sources
Multivariate Mixed Response Model with Pairwise Composite-Likelihood Method [PDF]
Stats, 2020 In clinical research, study outcomes usually consist of various patients’ information corresponding to the treatment. To have a better understanding of the effects of different treatments, one often needs to analyze multiple clinical outcomes ...
Hao Bai, Yuan Zhong, Xin Gao, Wei Xu
doaj +3 more sources
When Composite Likelihood meets Stochastic Approximation [PDF]
Journal of the American Statistical AssociationA composite likelihood is an inference function derived by multiplying a set of likelihood components. This approach provides a flexible framework for drawing inference when the likelihood function of a statistical model is computationally intractable. While composite likelihood has computational advantages, it can still be demanding when dealing with ...
Alfonzetti G. +3 more
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Empirical and simulated adjustments of composite likelihood ratio statistics [PDF]
Journal of Statistical Computation and Simulation, 2015 15 ...
CATTELAN, MANUELA, SARTORI, NICOLA
openaire +7 more sources
Copula Functions for Spatial Survival Data Analysis [PDF]
Journal of Sciences, Islamic Republic of Iran, 2023 Many survival data analyses aim to assess the effect of different risk factors on survival time. In some studies, the survival times are correlated, and the dependence between survival times is related to their spatial locations.
Mohsen Mohammadzadeh +2 more
doaj +1 more source
Validation of CMIP5 multimodel ensembles through the smoothness of climate variables [PDF]
Tellus: Series A, Dynamic Meteorology and Oceanography, 2015 Smoothness is an important characteristic of a spatial process that measures local variability. If climate model outputs are realistic, then not only the values at each grid pixel but also the relative variation over nearby pixels should represent the ...
Myoungji Lee +2 more
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Intermediate Likelihood of Choledocholithiasis: Do All Need EUS or MRCP?
Journal of Digestive Endoscopy, 2021 Background Recently updated guidelines for choledocholithiasis stratify suspected patients into high, intermediate, and low likelihood, with the aim to reduce risk of diagnostic endoscopic retrograde cholangiopancreatography.
Nitin Jagtap +10 more
doaj +1 more source
rdmc: An Open Source R Package Implementing Convergent Adaptation Models of Lee and Coop (2017)
G3: Genes, Genomes, Genetics, 2020 The availability of whole genome sequencing data from multiple related populations creates opportunities to test sophisticated population genetic models of convergent adaptation.
Silas Tittes
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Frontiers in Applied Mathematics and Statistics, 2023 The composite length-biased exponential-Pareto (CLBEP) distribution is a new composite distribution that is introduced in this article. This model's probability density function, moments, and quantiles, among other statistical characteristics, are ...
Moulouk Halima Benchettah +2 more
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