Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature
IFAC-PapersOnLine, 2023 11 pages, 2 figures, accepted at ...
Adachi, Masaki +5 more
openaire +4 more sources
Hospital Readmission After Traumatic Brain Injury Hospitalization in Community‐Dwelling Older Adults
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To examine the risk of hospital readmission after an index hospitalization for TBI in older adults. Methods Using data from the Atherosclerosis Risk in Communities (ARIC) study, we used propensity score matching of individuals with an index TBI‐related hospitalization to individuals with (1) non‐TBI hospitalizations (primary analysis)
Rachel Thomas +7 more
wiley +1 more source
parallelMCMCcombine: An R Package for Bayesian Methods for Big Data and Analytics
, 2014 Recent advances in big data and analytics research have provided a wealth of large data sets that are too big to be analyzed in their entirety, due to restrictions on computer memory or storage size.
Conlon, Erin, Miroshnikov, Alexey
core +3 more sources
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 +5 more
wiley +1 more source
Hierarchical Bayesian Spatio-Temporal Modeling for PM10 Prediction
Journal of Applied Mathematics, 2021 Over the past few years, hierarchical Bayesian models have been extensively used for modeling the joint spatial and temporal dependence of big spatio-temporal data which commonly involves a large number of missing observations.
Esam Mahdi +3 more
doaj +1 more source
Probabilistic Prediction Model Using Bayesian Inference in Climate Field: A Systematic Literature
JTAM (Jurnal Teori dan Aplikasi Matematika), 2023 Wildfires occur repeatedly every year and have a negative impact on natural ecosystems. Anticipation of wildfires is very necessary, therefore a prediction model is needed that can produce predictions with a good level of accuracy.
Evi Ardiyani +4 more
doaj +1 more source
A Bayesian Computer Model Analysis of Robust Bayesian Analyses
Bayesian Analysis, 2023 We harness the power of Bayesian emulation techniques, designed to aid the analysis of complex computer models, to examine the structure of complex Bayesian analyses themselves. These techniques facilitate robust Bayesian analyses and/or sensitivity analyses of complex problems, and hence allow global exploration of the impacts of choices made in both ...
Vernon, I., Gosling, J.P.
openaire +3 more sources
A practical Bayesian framework for backpropagation networks [PDF]
, 1992 A quantitative and practical Bayesian framework is described for learning of mappings in feedforward networks. The framework makes possible (1) objective comparisons between solutions using alternative network architectures, (2) objective stopping rules ...
MacKay, David J. C.
core
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
Bayesian evidence and model selection [PDF]
Digital Signal Processing, 2015 Arxiv version consists of 58 pages and 9 figures.
Knuth, K. +4 more
openaire +4 more sources