Exact Goodness-of-Fit Testing for the Ising Model.
Abraham Martín del Campo, Sarah Cepeda, Caroline Uhler
págs. 285-306
Trace Class Markov Chains for Bayesian Inference with Generalized Double Pareto Shrinkage Priors.
Subahdip Pal, Kshitij Khare, James P. Hobert
págs. 307-323
Kernel Density Estimation on a Linear Network.
Greg McSwiggan, Adrian Baddeley, Gopalan Nair
págs. 324-345
págs. 346-368
Local Digital Algorithms Applied to Boolean Models.
Julia Hörrmann, Anne Marie Svane
págs. 369-395
Ming-Yueh Huang, Chin-Tsang Chiang
págs. 396-424
Statistical Inference for Expectile-based Risk Measures.
Volker Krätschmer, Henryk Zähle
págs. 425-454
Structure Learning of Contextual Markov Networks using Marginal Pseudo-likelihood.
Johan Pensar, Henrik Nyman, Jukka Corander
págs. 455-479
Asymptotics of Selective Inference.
Xiaoying Tian, Jonathan Taylor
págs. 480-499
págs. 500-523
Bayesian Analysis of the Proportional Hazards Model with Time-Varying Coefficients.
Gwangsu Kim, Yongdai Kim, Taeryon Choi
págs. 524-544
Nonparametric Two-Sample Tests of the Marginal Mark Distribution with Censored Marks.
Brent A. Johnson
págs. 545-562
Estimating the Number of Block Boundaries from Diagonal Blockwise Matrices Without Penalization.
Vincent Brault, Maud Delattre, Emilie Lebarbier, Tristan Mary-Huard, Céline Levy-Leduc
págs. 563-580
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