Results 51 to 60 of about 1,249,090 (302)
Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10
Virus Evolution, 2018 The Bayesian Evolutionary Analysis by Sampling Trees (BEAST) software package has become a primary tool for Bayesian phylogenetic and phylodynamic inference from genetic sequence data.
M. Suchard +5 more
semanticscholar +1 more source
MultiNest: an efficient and robust Bayesian inference tool for cosmology and particle physics [PDF]
, 2008 We present further development and the first public release o f our multimodal nested sampling algorithm, called MULTINEST. This Bayesian inference tool calculates the evidence, with an associated error estimate, and produces posterior s amples from ...
F. Feroz, M. Hobson, M. Bridges
semanticscholar +1 more source
The Inverse of Exact Renormalization Group Flows as Statistical Inference
EntropyWe build on the view of the Exact Renormalization Group (ERG) as an instantiation of Optimal Transport described by a functional convection–diffusion equation.
David S. Berman, Marc S. Klinger
doaj +1 more source
Generalized Bayesian Inference Nets Model and Diagnosis of Cardiovascular Diseases
Journal of Intelligent Systems, 2011 A generalized Bayesian inference nets model (GBINM) is proposed to aid researchers to construct Bayesian inference nets for various applications. The benefit of such a model is well demonstrated by applying GBINM in constructing a hierarchical Bayesian ...
Sekar Booma Devi +2 more
doaj +1 more source
Bayesian surprise shapes neural responses in somatosensory cortical circuits
Cell Reports, 2023 Summary: Numerous psychophysical studies show that Bayesian inference governs sensory decision-making; however, the specific neural circuitry underlying this probabilistic mechanism remains unclear.
Gwendolyn English +4 more
doaj +1 more source
Bayesian Inference of Species Trees from Multilocus Data
Molecular biology and evolution, 2009 Until recently, it has been common practice for a phylogenetic analysis to use a single gene sequence from a single individual organism as a proxy for an entire species.
Joseph Heled, A. Drummond
semanticscholar +1 more source
Affine invariant interacting Langevin dynamics for Bayesian inference [PDF]
SIAM Journal on Applied Dynamical Systems, 2019 We propose a computational method (with acronym ALDI) for sampling from a given target distribution based on first-order (overdamped) Langevin dynamics which satisfies the property of affine invariance.
A. Garbuno-Iñigo, N. Nüsken, S. Reich
semanticscholar +1 more source
, 2010 In this tutorial we review the essential arguments behing entropic inference. We focus on the epistemological notion of information and its relation to the Bayesian beliefs of rational agents.
Caticha, Ariel
core +1 more source
An introduction to Bayesian inference in gravitational-wave astronomy: Parameter estimation, model selection, and hierarchical models [PDF]
Publications Astronomical Society of Australia, 2018 This is an introduction to Bayesian inference with a focus on hierarchical models and hyper-parameters. We write primarily for an audience of Bayesian novices, but we hope to provide useful insights for seasoned veterans as well.
E. Thrane, C. Talbot
semanticscholar +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Poststroke fatigue (PSF) and frailty share substantial overlap in their manifestations, yet previous research has yielded conflicting results due to the use of heterogeneous frailty assessment tools. Objective To evaluate the independent impact of frailty on PSF using a unified measurement system (Tilburg Frailty Indicator, TFI ...
Chuan‐Bang Chen +6 more
wiley +1 more source