Results 61 to 70 of about 1,249,090 (302)

Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration

Topics in Cognitive Science, 2020
Collaboration requires agents to coordinate their behavior on the fly, sometimes cooperating to solve a single task together and other times dividing it up into sub-tasks to work on in parallel.
Rose E. Wang, Sarah A. Wu, James A. Evans, J. Tenenbaum, D. Parkes, Max Kleiman-Weiner   +5 more
semanticscholar   +1 more source

Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt, Marius Ygonia, Ali Manouchehrinia, Philippe Lefrançois, Ingrid Kockum, Adil Harroud   +5 more
wiley   +1 more source

Approximate Decentralized Bayesian Inference [PDF]

, 2014
This paper presents an approximate method for performing Bayesian inference in models with conditional independence over a decentralized network of learning agents.
Campbell, Trevor, How, Jonathan P.
core   +1 more source

Effectiveness and safety of baricitinib for juvenile idiopathic arthritis associated uveitis or chronic anterior antinuclear antibody positive uveitis

Arthritis Care &Research, Accepted Article.
Objectives Evaluate the efficacy and safety of baricitinib in paediatric patients with active JIA‐U or chronic anterior ANA‐positive uveitis, who had an inadequate response to MTX or bDMARDs. Methods JUVE‐BRIGHT was an open‐label, active‐controlled, Phase‐3 multicentre trial which utilized a novel design, including 1:1 randomization to an active ...
Athimalaipet V. Ramanan, Catherine M. Guly, Gabriele Simonini, Stuart Keller, Priyanka Sen, Thorsten Holzkaemper, Joana Araújo, Pierre Quartier   +7 more
wiley   +1 more source

A Bayesian Account of Psychopathy: A Model of Lacks Remorse and Self-Aggrandizing [PDF]

Computational Psychiatry, 2018
This article proposes a formal model that integrates cognitive and psychodynamic psychotherapeutic models of psychopathy to show how two major psychopathic traits called lacks remorse and self-aggrandizing can be understood as a form of abnormal Bayesian
Aaron Prosser, Karl J. Friston, Nathan Bakker, Thomas Parr   +3 more
doaj   +3 more sources

Advanced Approach for Distributions Parameters Learning in Bayesian Networks with Gaussian Mixture Models and Discriminative Models

Mathematics, 2023
Bayesian networks are a powerful tool for modelling multivariate random variables. However, when applied in practice, for example, for industrial projects, problems arise because the existing learning and inference algorithms are not adapted to real data.
Irina Deeva, Anna Bubnova, Anna V. Kalyuzhnaya   +2 more
doaj   +1 more source

PAC-Bayesian Theory Meets Bayesian Inference [PDF]

, 2016
We exhibit a strong link between frequentist PAC-Bayesian risk bounds and the Bayesian marginal likelihood. That is, for the negative log-likelihood loss function, we show that the minimization of PAC-Bayesian generalization risk bounds maximizes the ...
Bach, Francis, Germain, Pascal, Lacoste, Alexandre, Lacoste-Julien, Simon   +3 more
core   +3 more sources

Computational statistics using the Bayesian Inference Engine

, 2012
This paper introduces the Bayesian Inference Engine (BIE), a general parallel, optimised software package for parameter inference and model selection. This package is motivated by the analysis needs of modern astronomical surveys and the need to organise
Babu, Berntsen, Feroz, Gelman, Gelman, Gelman, Geyer, Giakoumatos, Green, Gregory, Grubbs, Hastings, Hobson, Jeffreys, Kass, Kirkpatrick, Lewis, Lindley, Liu, Lu, Lu, Martin D. Weinberg, Metropolis, Neal, Neal, Newton, Pearson, Press, Price, Raftery, Robert, Skilling, Storn, Storn, Sérsic, Ter Braak, Verdinelli, Wall, Weinberg, Weinberg, Yoon   +40 more
core   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Semiparametric Regression Analysis via Infer.NET

Journal of Statistical Software, 2018
We provide several examples of Bayesian semiparametric regression analysis via the Infer.NET package for approximate deterministic inference in Bayesian models.
Jan Luts, Shen S. J. Wang, John T. Ormerod, Matt P. Wand   +3 more
doaj   +1 more source