A numerically stable algorithm for integrating Bayesian models using Markov melding
Sign Up to like & getrecommendations! Published in 2022 at "Statistics and Computing"
DOI: 10.1007/s11222-022-10086-2
Abstract: When statistical analyses consider multiple data sources, Markov melding provides a method for combining the source-specific Bayesian models. Markov melding joins together submodels that have a common quantity. One challenge is that the prior for… read more here.
Keywords: stable algorithm; algorithm integrating; markov melding; integrating bayesian ... See more keywords
The Temporal Context in Bayesian Models of Interval Timing: Recent Advances and Future Directions
Sign Up to like & getrecommendations! Published in 2022 at "Behavioral Neuroscience"
DOI: 10.1037/bne0000513
Abstract: Sensory perception, motor control, and cognition necessitate reliable timing in the range of milliseconds to seconds, which implies the existence of a highly accurate timing system. Yet, partly owing to the fact that temporal processing… read more here.
Keywords: bayesian models; interval timing; timing recent; temporal context ... See more keywords
A Comparison of Different Bayesian Models for Leukemia Data
Sign Up to like & getrecommendations! Published in 2021 at "American Journal of Mathematical and Management Sciences"
DOI: 10.1080/01966324.2021.1957730
Abstract: Different probability models are used to model survival data. However, it is important to know which model describe best the data because if the assumptions for parametric methods hold, the resulti... read more here.
Keywords: bayesian models; different bayesian; comparison different; leukemia data ... See more keywords
Hierarchical Bayesian models for predicting spatially correlated curves
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DOI: 10.1080/02331888.2018.1547905
Abstract: ABSTRACT Functional data analysis has emerged as a new area of statistical research with a wide range of applications. In this paper, we propose novel models based on wavelets for spatially correlated functional data. These… read more here.
Keywords: bayesian models; correlated curves; spatially correlated; predicting spatially ... See more keywords
Federated Learning for Sparse Bayesian Models with Applications to Electronic Health Records and Genomics
Sign Up to like & getrecommendations! Published in 2022 at "Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing"
DOI: 10.1142/9789811270611_0044
Abstract: Federated learning is becoming increasingly more popular as the concern of privacy breaches rises across disciplines including the biological and biomedical fields. The main idea is to train models locally on each server using data… read more here.
Keywords: bayesian models; federated learning; models applications; learning sparse ... See more keywords
Analysing pneumococcal invasiveness using Bayesian models of pathogen progression rates
Sign Up to like & getrecommendations! Published in 2022 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1009389
Abstract: The disease burden attributable to opportunistic pathogens depends on their prevalence in asymptomatic colonisation and the rate at which they progress to cause symptomatic disease. Increases in infections caused by commensals can result from the… read more here.
Keywords: analysing pneumococcal; disease; pneumococcal invasiveness; bayesian models ... See more keywords
Genome prediction accuracy of common bean via Bayesian models
Sign Up to like & getrecommendations! Published in 2018 at "Ciencia Rural"
DOI: 10.1590/0103-8478cr20170497
Abstract: EnglishWe aimed to apply genomic information based on SNP (single nucleotide polymorphism) markers for the genetic evaluation of the traits “stay-green” (SG), plant architecture (PA), grain aspect (GA) and grain yield (GY) in common bean… read more here.
Keywords: bayesian models; prediction accuracy; snp; common bean ... See more keywords
Reconciling artificial intelligence and non-Bayesian models for pterygomaxillary morphometrics.
Sign Up to like & getrecommendations! Published in 2021 at "Folia morphologica"
DOI: 10.5603/fm.a2020.0149
Abstract: BACKGROUND The base of the skull, particularly the pterygomaxillary region, has a sophisticated topography, the morphometry of which interests pathologists, maxillofacial and plastic surgeons. The aim of the study was to conduct pterygomaxillary morphometrics and… read more here.
Keywords: non bayesian; laterality; pterygomaxillary morphometrics; reconciling artificial ... See more keywords