Results 21 to 30 of about 872,459 (340)
On the Brittleness of Bayesian Inference [PDF]
SIAM Review, 2015 20 pages, 2 figures. To appear in SIAM Review (Research Spotlights).
Owhadi, Houman +2 more
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Variational Inference: A Review for Statisticians [PDF]
arXiv.org, 2016 One of the core problems of modern statistics is to approximate difficult-to-compute probability densities. This problem is especially important in Bayesian statistics, which frames all inference about unknown quantities as a calculation involving the ...
D. Blei, A. Kucukelbir, Jon D. McAuliffe
semanticscholar +1 more source
New Frontiers in Bayesian Modeling Using the INLA Package in R
Journal of Statistical Software, 2021 The INLA package provides a tool for computationally efficient Bayesian modeling and inference for various widely used models, more formally the class of latent Gaussian models.
Janet Van Niekerk +3 more
doaj +1 more source
, 2010 This chapter provides a overview of Bayesian inference, mostly emphasising that it is a universal method for summarising uncertainty and making estimates and predictions using probability statements conditional on observed data and an assumed model (Gelman 2008). The Bayesian perspective is thus applicable to all aspects of statistical inference, while
Jean-Michel Marin +2 more
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A Bayesian inference model for metamemory. [PDF]
Psychological Review, 2021 The dual-basis theory of metamemory suggests that people evaluate their memory performance based on both processing experience during the memory process and their prior beliefs about overall memory ability. However, few studies have proposed a formal computational model to quantitatively characterize how processing experience and prior beliefs are ...
Xiao Hu +7 more
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Energies, 2023 This paper introduces a novel techno-economic feasibility analysis of energy management utilizing the Homer software v3.14.5 environment for an independent hybrid microgrid.
Abdellah Benallal +5 more
doaj +1 more source
MRBAYES: Bayesian inference of phylogenetic trees
Bioinform., 2001 SUMMARY The program MRBAYES performs Bayesian inference of phylogeny using a variant of Markov chain Monte Carlo. AVAILABILITY MRBAYES, including the source code, documentation, sample data files, and an executable, is available at http://brahms ...
J. Huelsenbeck, F. Ronquist
semanticscholar +1 more source
MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space
Systematic Biology, 2012 Since its introduction in 2001, MrBayes has grown in popularity as a software package for Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) methods. With this note, we announce the release of version 3.2, a major upgrade to the latest
F. Ronquist +9 more
semanticscholar +1 more source
Bayesian inference of population prevalence [PDF]
Journal of Vision, 2020 Within neuroscience, psychology, and neuroimaging, the most frequently used statistical approach is null hypothesis significance testing (NHST) of the population mean. An alternative approach is to perform NHST within individual participants and then infer, from the proportion of participants showing an effect, the prevalence of that effect in the ...
Ince, Robin A.A. +3 more
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Ciência Rural, 2021 : Although the fruit yield has a core importance in Tahiti acid lime breeding programs, other traits stand out among the quality fruit and vegetative traits as ones that still need to be improved in selection of superior genotypes.
Renan Garcia Malikouski +6 more
doaj +1 more source