Results 101 to 110 of about 66,786 (305)
Adaptive Gibbs samplers and related MCMC methods [PDF]
, 2011 We consider various versions of adaptive Gibbs and Metropolis- within-Gibbs samplers, which update their selection probabilities (and perhaps also their proposal distributions) on the y during a run, by learning as they go in an attempt to optimise ...
Rosenthal, Jeffrey S. (Jeffrey Seth) +2 more
core
Integrative Conservation, EarlyView.This study reconstructs the phylogeny of the Javan Hawk‐Eagle (Nisaetus bartelsi) within the subfamily Aquilinae using Maximum Likelihood and Bayesian Inference algorithms on a blood sample and GenBank data. The analysis reveals that the sampled genus Nisaetus forms a monophyletic group. Furthermore, N. bartelsi occupies a sister‐taxon of N.
Almas Lathifatul Ula +3 more
wiley +1 more source
, 2022 Generalized linear mixed models (GLMMs) are often used for analyzing correlated non-Gaussian data. The likelihood function in a GLMM is available only as a high dimensional integral, and thus closed-form inference and prediction are not possible for GLMMs.
openaire +3 more sources
Научно-технический вестник информационных технологий, механики и оптикиIn biology, information about interactions between the proteins or genes under study can be represented as a biological graph. A connected subgraph, whose vertices perform a common biological function, is called an active module.
D. A. Usoltsev +4 more
doaj +1 more source
Bayesian state-space models with multiple CPUE data: the case of a mullet fishery
Scientia Marina, 2017 We propose a novel Bayesian hierarchical structure of state-space surplus production models that accommodate multiple catch per unit effort (CPUE) data of various fisheries exploiting the same stock.
Rodrigo Sant’Ana +5 more
doaj +1 more source
Speculative moves : multithreading Markov Chain Monte Carlo programs [PDF]
, 2008 The increasing availability of multi-core and multi-processor architectures provides new opportunities for improving the performance of many computer simulations.
Bhalerao, Abhir +2 more
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Journal of Adolescence, EarlyView.ABSTRACT Introduction There is a growing interest in positive risk‐taking (PRT) during adolescence and young adulthood. Emerging evidence has documented positive associations of PRT with multiple positive adolescent socioemotional developmental outcomes, including prosocial behavior.
Weiyu Edith Chen, Hao Zheng, Yao Zheng
wiley +1 more source
Simple reparameterization to improve convergence in linear mixed models
Acta Agriculturae Slovenica, 2010 Slow convergence and mixing are one of the main problems of Markov chain Monte Carlo (McMC) algorithms applied to mixed models in animal breeding. Poor convergence is to a large extent caused by high posterior correlation between variance components and ...
Gregor GORJANC +3 more
doaj +1 more source
On the containment condition for adaptive Markov Chain Monte Carlo algorithms [PDF]
, 2009 This paper considers ergodicity properties of certain adaptive Markov chain Monte Carlo (MCMC) algorithms for multidimensional target distributions, in particular Adaptive Metropolis and Adaptive Metropolis-within-Gibbs.
Rosenthal, Jeffrey S. (Jeffrey Seth) +2 more
core
GPU accelerated MCMC for modeling terrorist activity
, 2013 The use of graphical processing unit (GPU) parallel processing is becoming a part of mainstream statistical practice. The reliance of Bayesian statistics on Markov Chain Monte Carlo (MCMC) methods makes the applicability of parallel processing not ...
White, Gentry, Porter, Michael D.
core +1 more source