Partial identification with categorical data and nonignorable missing outcomes
Canadian Journal of Statistics, EarlyView.Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley +1 more source
Robust Empirical Bayes Estimation of the Elliptically Countoured Covariance Matrix
Journal of Mathematical Extension, 2011 Let S be the matrix of residual sum of square in linear model Y = Aβ + e, where the matrix of errors is distributed as elliptically contoured with unknown scale matrix Σ. For Stein loss function, L1(Σˆ , Σ) = tr(ΣΣˆ −1 )−log |ΣΣˆ −1 |−p, and squared
Z. Khodadadi, B. Tarami
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A flexible empirical Bayes approach to multivariate multiple regression, and its improved accuracy in predicting multi-tissue gene expression from genotypes. [PDF]
PLoS Genet, 2023 Morgante F +5 more
europepmc +1 more source
Bayesian inverse ensemble forecasting for COVID‐19
Canadian Journal of Statistics, EarlyView.Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
Relationship between changes in the public health nurses' workforce and the empirical Bayes estimates of standardized mortality ratio: a longitudinal ecological study of municipalities in Japan. [PDF]
BMC Health Serv Res, 2023 Kodama S, Uwatoko F, Koriyama C.
europepmc +1 more source
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Construction megaprojects, large‐scale, complex, and capital‐intensive, are particularly prone to inefficiencies, cost overruns, delays, and environmental degradation due to fragmented workflows, stakeholder misalignment, and resource intensity.
Abdelazim Ibrahim +5 more
wiley +1 more source
Empirical Bayes improvement of Kalman filter type of estimators [PDF]
, 2014 Eitan Greenshtein +2 more
openalex +1 more source
An Empirically Driven Guide on Using Bayes Factors for M/EEG Decoding
, 2022 Lina Teichmann
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Deep Underground Science and Engineering, EarlyView.In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang +4 more
wiley +1 more source
A conditional Bayesian approach for testing independence in two-way contingency tables
Kuwait Journal of Science, 2013 Bayesian methods for exact small-sample analysis with categorical data in contingency tables are considered. Point null hypotheses versus two-sided hypothesis are tested concerning log odds ratios in these tables with fixed row margins. The conditional
Z. SABERI, M. GANJALI
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