Results 271 to 280 of about 1,563,284 (329)

Who benefits? Uncovering hidden heterogeneity of treatment effects in adaptive trials using Bayesian methods: a systematic review. [PDF]

Trials
Giblon R, Gao C, Liu K, Ouyang Y, Cunningham J, Pimienta AL, Goligher EC, Heath A.   +7 more
europepmc   +1 more source

Reconciling Binary Replicates: Beyond the Average. [PDF]

Stat Med
Lorenzo H, Pudlo P, Royer-Carenzi M.
europepmc   +1 more source

DNA sequence contamination analyzer (DNASCAN): a supervised analysis toolkit for detecting and removing DNA contaminants. [PDF]

BMC Bioinformatics
Malamon JS.
europepmc   +1 more source

Enhancing clinical insights in glioma grading using Bayesian Optimization and Explainable AI. [PDF]

J Genet Eng Biotechnol
Elsayad AM, Elsayad OA.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Bayesian Model Selection and Model Averaging.

Journal of Mathematical Psychology, 2000
This paper reviews the Bayesian approach to model selection and model averaging. In this review, I emphasize objective Bayesian methods based on noninformative priors. I will also discuss implementation details, approximations, and relationships to other methods. Copyright 2000 Academic Press.
L. Wasserman
semanticscholar   +4 more sources

Bayesian model averaging in R [PDF]

Journal of Economic and Social Measurement, 2011
Bayesian model averaging has increasingly witnessed applications across an array of empirical contexts. However, the dearth of available statistical software which allows one to engage in a model averaging exercise is limited. It is common for consumers of these methods to develop their own code, which has obvious appeal.
Shahram Amini, Christopher F. Parmeter
openaire   +3 more sources

Bayesian model averaging by combining deep learning models to improve lake water level prediction.

Science of the Total Environment, 2023
Water level (WL) is an essential indicator of lakes and sensitive to climate change. Fluctuations of lake WL may significantly affect water supply security and ecosystem stability.
Gang Li, Zhangjun Liu, Jingwen Zhang, Huiming Han, Zhangkang Shu   +4 more
semanticscholar   +1 more source

Determinants of ecological footprint in European countries: Fresh insight from Bayesian model averaging for panel data analysis.

Science of the Total Environment, 2023
This study examines the determinants of the ecological footprint of production in European countries from 1992 to 2020. Using partial and semipartial correlation analyses and Bayesian Modeling Averaging (BMA) approach for the first time, the research ...
H. Guliyev
semanticscholar   +1 more source