Bayesian data analysis as a tool for behavior analysts.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the experimental analysis of behavior"
DOI: 10.1002/jeab.512
Abstract: Bayesian approaches to data analysis are considered within the context of behavior analysis. The paper distinguishes between Bayesian inference, the use of Bayes Factors, and Bayesian data analysis using specialized tools. Given the importance of… read more here.
Keywords: analysis tool; data analysis; bayesian data; analysis ... See more keywords
Sequential Bayesian Data Synthesis for Mediation and Regression Analysis
Sign Up to like & getrecommendations! Published in 2021 at "Prevention Science"
DOI: 10.1007/s11121-021-01256-1
Abstract: Science is an inherently cumulative process, and knowledge on a specific topic is organized through synthesis of findings from related studies. Meta-analysis has been the most common statistical method for synthesizing findings from multiple studies… read more here.
Keywords: data synthesis; science; bayesian data; analysis ... See more keywords
Spatial filtering and Bayesian data fusion for mapping soil properties: A case study combining legacy and remotely sensed data in Iran
Sign Up to like & getrecommendations! Published in 2019 at "Geoderma"
DOI: 10.1016/j.geoderma.2019.02.031
Abstract: Abstract In a spatial mapping context, we address in this paper the issue of combining at best soil data coming from legacy soil surveys with soil information that is indirectly obtained from remote sensing (RS).… read more here.
Keywords: data fusion; methodology; soil; bayesian data ... See more keywords
The utility of Bayesian data reconciliation for separations
Sign Up to like & getrecommendations! Published in 2021 at "Minerals Engineering"
DOI: 10.1016/j.mineng.2021.106837
Abstract: Abstract Data reconciliation methods for separation processes typically rely on classical statistical approaches to generate estimates of true mass flow rates from measurements. Knowledge regarding the uncertainty of these estimates has value in decision making,… read more here.
Keywords: separation processes; reconciliation; utility bayesian; bayesian data ... See more keywords
Bayesian data integration for quantifying the contribution of diverse measurements to parameter estimates
Sign Up to like & getrecommendations! Published in 2018 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btx666
Abstract: Motivation Computational models in biology are frequently underdetermined, due to limits in our capacity to measure biological systems. In particular, mechanistic models often contain parameters whose values are not constrained by a single type of… read more here.
Keywords: integration; bayesian data; model; measurement ... See more keywords
Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19
Sign Up to like & getrecommendations! Published in 2022 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1009807
Abstract: Estimating the changes of epidemiological parameters, such as instantaneous reproduction number, Rt, is important for understanding the transmission dynamics of infectious diseases. Current estimates of time-varying epidemiological parameters often face problems such as lagging observations,… read more here.
Keywords: reproduction; bayesian data; instantaneous reproduction; data assimilation ... See more keywords