VOL. 16 · NO. 4 | 2021
 
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Isaac Lavine, Michael Lindon, Mike West
Bayesian Anal. 16 (4), 1059-1083, (2021) DOI: 10.1214/20-BA1245 Open Access
KEYWORDS: Bayesian forecasting, decision analysis, dynamic dependency network models, dynamic linear models, Gibbs model probabilities, macroeconomic forecasting, model averaging, model structure uncertainty, shotgun stochastic search
Maria M. Barbieri, James O. Berger, Edward I. George, Veronika Ročková
Bayesian Anal. 16 (4), 1085-1112, (2021) DOI: 10.1214/20-BA1249 Open Access
KEYWORDS: Bayesian variable selection, median probability model, multicollinearity, spike and slab, 62C10, 62F15
Federico Castelletti, Guido Consonni
Bayesian Anal. 16 (4), 1113-1137, (2021) DOI: 10.1214/21-BA1260 Open Access
KEYWORDS: Graphical model, Directed acyclic graph, DAG-probit, Causal inference, DAG-Wishart, modified Cholesky decomposition
Edward George, Gourab Mukherjee, Keisuke Yano
Bayesian Anal. 16 (4), 1139-1155, (2021) DOI: 10.1214/21-BA1264 Open Access
KEYWORDS: predictive density, α-divergences, predictive inference, optimal shrinkage, risk estimation, Empirical Bayes, 62L20, 60F15, 60G42
Sayar Karmakar, Arkaprava Roy
Bayesian Anal. 16 (4), 1157-1185, (2021) DOI: 10.1214/21-BA1267 Open Access
KEYWORDS: autoregressive model, B-splines, Hamiltonian Monte Carlo (HMC), non-stationary, posterior contraction, Volatility
Mario Beraha, Alessandra Guglielmi, Fernando A. Quintana
Bayesian Anal. 16 (4), 1187-1219, (2021) DOI: 10.1214/21-BA1278 Open Access
KEYWORDS: Bayes factors, Bayesian nonparametrics, Partial exchangeability, posterior consistency, homogeneity test, 60G57, 62G05, 62F15, 62H30
Rajarshi Guhaniyogi, Daniel Spencer
Bayesian Anal. 16 (4), 1221-1249, (2021) DOI: 10.1214/21-BA1280 Open Access
KEYWORDS: brain activation, BOLD measure, fMRI studies, multiway stick breaking shrinkage prior, posterior consistency, tensor response
Per Sidén, Finn Lindgren, David Bolin, Anders Eklund, Mattias Villani
Bayesian Anal. 16 (4), 1251-1278, (2021) DOI: 10.1214/21-BA1283 Open Access
KEYWORDS: spatial priors, Gaussian Markov random fields, fMRI, spatiotemporal modeling, efficient computation
Sylvia Frühwirth-Schnatter, Gertraud Malsiner-Walli, Bettina Grün
Bayesian Anal. 16 (4), 1279-1307, (2021) DOI: 10.1214/21-BA1294 Open Access
KEYWORDS: Bayesian mixtures, Dirichlet process mixtures, sparse finite mixtures, Pitman-Yor process mixtures, reversible jump MCMC, Gibbs-type priors, 62H30, 65C40
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