Results 31 to 40 of about 436,673 (317)
On adaptive Bayesian inference
, 2008 We study the rate of Bayesian consistency for hierarchical priors consisting of prior weights on a model index set and a prior on a density model for each choice of model index.
Xing, Yang
core +3 more sources
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
, 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
On Probability and Cosmology: Inference Beyond Data? [PDF]
, 2017 Modern scientific cosmology pushes the boundaries of knowledge and the knowable. This is prompting questions on the nature of scientific knowledge. A central issue is what defines a 'good' model.
Sahlen, Martin
core +2 more sources
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 +3 more
core +3 more sources
Bayesian inference for inverse problems [PDF]
, 2001 Traditionally, the MaxEnt workshops start by a tutorial day. This paper summarizes my talk during 2001'th workshop at John Hopkins University. The main idea in this talk is to show how the Bayesian inference can naturally give us all the necessary tools ...
Mohammad-Djafari, Ali
core +2 more sources
Arthritis Care &Research, EarlyView.Objective To evaluate the efficacy and safety of baricitinib in pediatric patients with active juvenile idiopathic arthritis–associated uveitis (JIA‐U) or chronic anterior antinuclear antibody–positive uveitis, who had an inadequate response to methotrexate (MTX) or biologic disease‐modifying antirheumatic drugs (bDMARDs).
Athimalaipet V. Ramanan +7 more
wiley +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 +2 more
wiley +1 more source