A BAYESIAN APPROACH TO VECTOR AUTOREGRESSIVE MODEL ESTIMATION AND FORECASTING WITH UNBALANCED DATA SETS

Autor: Tutberidze, Davit, Japaridze, Dimitri

Publikováno v: Ecoforum. 10(3)

Externí odkaz: https://www.ceeol.com/search/article-detail?id=1053333

Bayesian model-averaged meta-analysis in medicine

Autor: Bram Timmers, Willem M. Otte, Eric-Jan Wagenmakers, Quentin Frederik Gronau, Alexander Ly, František Bartoš

Publikováno v: Statistics in Medicine, 40(30), 6743-6761. John Wiley and Sons Ltd
Statistics in Medicine, 2021, 1-19

We outline a Bayesian model-averaged (BMA) meta-analysis for standardized mean differences in order to quantify evidence for both treatment effectiveness δ and across-study heterogeneity 𝜏. We construct four competing models by orthogonally combi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ed59d78b1e3e7137161b1f07a6efe36
https://dare.uva.nl/personal/pure/en/publications/bayesian-modelaveraged-metaanalysis-in-medicine(9926e3b0-0e75-4919-a4f7-f2e69f0b465d).html

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Computer adaptive testing with empirical prior information: a Gibbs sampler approach for ability estimation

Autor: Matteucci, Mariagiulia, Veldkamp, Bernard P.

Publikováno v: Matteucci, Mariagiulia ; Veldkamp, Bernard P. (2009) Computer adaptive testing with empirical prior information: a Gibbs sampler approach for ability estimation. [Preprint]

In this paper, empirical prior information is introduced in computer adaptive testing. Despite its increasing use, the method suffers from a weak measurement precision, especially under particular conditions. Therefore, it is shown how the inclusion

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42f025c4b4acd40a097ec5f68c638f32
http://amsacta.unibo.it/2659/

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