Results 71 to 80 of about 152,582 (189)
Geostatistical inference in the presence of geomasking: A composite-likelihood approach [PDF]
Spatial Statistics, 2018 In almost any geostatistical analysis, one of the underlying, often implicit, modelling assump- tions is that the spatial locations, where measurements are taken, are recorded without error. In this study we develop geostatistical inference when this assumption is not valid.
Claudio Fronterrè +2 more
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Disequilibrium Mapping: Composite Likelihood for Pairwise Disequilibrium
Genomics, 1996 The pattern of linkage disequilibrium between a disease locus and a set of marker loci has been shown to be a useful tool for geneticists searching for disease genes. Several methods have been advanced to utilize the pairwise disequilibrium between the disease locus and each of a set of marker loci.
B, Devlin, N, Risch, K, Roeder
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Composite likelihood methods based on minimum density power divergence estimator [PDF]
, 2018 20 σ.In this paper, a robust version of the Wald test statistic for composite likelihood is considered by using the composite minimum density power divergence estimator instead of the composite maximum likelihood estimator.
Castilla, Elena +3 more
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Aspects of Composite Likelihood Estimation And Prediction [PDF]
, 2013 A composite likelihood is usually constructed by multiplying a collection of lower dimensional marginal or conditional densities. In recent years, composite likelihood methods have received increasing interest for modeling complex data arising from ...
Xu, Ximing
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Nuisance parameters, composite likelihoods and a panel of GARCH models [PDF]
We investigate the properties of the composite likelihood (CL) method for (T ×N_T ) GARCH panels. The defining feature of a GARCH panel with time series length T is that, while nuisance parameters are allowed to vary across N_T series, other parameters ...
Neil Shephard +2 more
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Mapping a gene for rheumatoid arthritis on chromosome 18q21 [PDF]
, 2007 Although single chi-square analysis of the North American Rheumatoid Arthritis Consortium (NARAC) data identifies many single-nucleotide polymorphisms (SNPs) with p-values less than 0.05, none remain significant after Bonferroni correction.
Morton, Newton E +2 more
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Bayesian inference: more than Bayes’s theorem
Frontiers in Astronomy and Space SciencesBayesian inference gets its name from Bayes’s theorem, expressing posterior probabilities for hypotheses about a data generating process as the (normalized) product of prior probabilities and a likelihood function.
Thomas J. Loredo, Robert L. Wolpert
doaj +1 more source
Universal Inference with Composite Likelihoods
, 2020 Wasserman et al. (2020, PNAS, vol. 117, pp. 16880-16890) constructed estimator agnostic and finite-sample valid confidence sets and hypothesis tests, using split-data likelihood ratio-based statistics. We demonstrate that the same approach extends to the use of split-data composite likelihood ratios as well, and thus establish universal methods for ...
openaire +2 more sources
Statistical and Computational Tradeoffs in Stochastic Composite Likelihood
CoRR, 2010 30 pages, 97 figures, 2 ...
Joshua V. Dillon, Guy Lebanon
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Adjusted composite likelihood for robust Bayesian meta-analysis [PDF]
, 2021 A composite likelihood is a non-genuine likelihood function that allows to make inference on limited aspects of a model, such as marginal or conditional distributions. Composite likelihoods are not proper likelihoods and need therefore calibration for
Lambardi di San Miniato, Michele +1 more
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