Results 81 to 90 of about 44,986 (305)
On Bayesian Estimation in Mixed Linear Models Using the Gibbs Sampler [PDF]
المجلة العراقية للعلوم الاحصائية, 2008 This paper tackles the estimation of parameters of linear mixed random effect one–classification model by Bayesian technique which includes Gibbs sampling. Gibbs sampling is a special case of Monte Carlo Method which uses Markov Chain and so called MCMC (
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Markov chain Monte Carlo, recent developments
, 2005 only:\ud \ud There has recently been an explosion of interest in Markov chain Monte Carlo (MCMC) for biostatistical modeling and analysis, particularly, but not exclusively in a Bayesian framework.
K. Mengersen, Mengersen, Kerrie L.
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Nordic Journal of Botany, EarlyView.The Irano‐Turanian Floristic Region harbors a rich flora, but our understanding of the development of this diversity is limited by a lack of data on phylogenetic relationships and biogeographic patterns of endemic and more widespread plants. Hypotheses of in situ diversification versus allopatric diversification were tested using Iris subgen. Scorpiris,
Mona Salimbahrami +4 more
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MODEL VOLATILITAS GARCH(1,1) DENGAN ERROR STUDENT-T UNTUK KURS BELI EUR DAN JPY TERHADAP IDR
Jurnal MIPA, 2016 Studi ini menyajikan model volatilitas Generalized Autoregressive Conditional Heteroscedasticity (GARCH)(1,1) untuk returns keuangan yang mengasumsikan bahwa returns error berdistribusi Student-t.
F. C. Salim, D. B. Nugroho, B. Susanto
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Cluster Sampling Filters for Non-Gaussian Data Assimilation
Atmosphere, 2018 This paper presents a fully non-Gaussian filter for sequential data assimilation. The filter is named the “cluster sampling filter”, and works by directly sampling the posterior distribution following a Markov Chain Monte-Carlo (MCMC ...
Ahmed Attia, Azam Moosavi, Adrian Sandu
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Density estimators through Zero Variance Markov Chain Monte Carlo [PDF]
A Markov Chain Monte Carlo method is proposed for the pointwise evaluation of a density whose normalizing constant is not known. This method was introduced in the physics literature by Assaraf et al (2007).
Daniele Imparato, Antonietta Mira
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Amanita theophili sp. nov. (Amanitaceae) from central Mexico
Nordic Journal of Botany, EarlyView.Amanita theophili sp. nov., a member of Amanita sect. Amidella (Amanitaceae), is described from temperate pine‐oak forests in Morelos, central Mexico. Morphological features and phylogenetic analyses based on ITS and 28S rDNA sequences confirm its distinct taxonomic status. The new species is morphologically similar to A. peckiana and A.
Evangelina Pérez‐Silva +1 more
wiley +1 more source
Inference for multicomponent stress-strength reliability based on generalized Lindley distribution
Scientific ReportsThis paper explores the classical and Bayesian estimation of multicomponent stress strength reliability when both the stress and strength variables follow the generalized Lindley distribution. The maximum likelihood (ML) and Bayesian methods are utilized
Fatma Gül Akgül
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Modern Bayesian Sampling Methods for Cosmological Inference: A Comparative Study
UniverseWe present a comprehensive comparison of different Markov chain Monte Carlo (MCMC) sampling methods, evaluating their performance on both standard test problems and cosmological parameter estimation.
Denitsa Staicova
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IEEE Access, 2019 In this paper, we propose a model-free volumetric Next Best View (NBV) algorithm for accurate 3D reconstruction using a Markov Chain Monte Carlo method for high-mix-low-volume objects in manufacturing. The volumetric information gain based Next Best View
Lei Hou +4 more
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