Journal Series B: current and forthcoming papers

RSS Series B journalVolume 81 (2019), part 1

Current and scheduled papers are available to subscribers from the Wiley Online Library.

Log in at My RSS and go to ‘My publication’ to view your journals and access the Wiley website.

Report of the Editors—2018
D Dunson, S Wood

Moment conditions and Bayesian non-parametrics
L Bornn, N Shephard and R Solgi

Multiple testing with the structure-adaptive Benjamini–Hochberg algorithm
A Li and R F Barber

An omnibus non-parametric test of equality in distribution for unknown functions
A Luedtke, M Carone and M J van der Laan

Characterization of c‐, L‐ and ϕk‐optimal designs for a class of non‐linear multiple‐regression models
D Schmidt

Robust causal inference with continuous instruments using the local instrumental variable curve
E H Kennedy, S Lorch and D S Small

On cross-validation for sparse reduced rank regression
Y She and H Tran

Deterministic parallel analysis: an improved method for selecting factors and principal components
E Dobriban and A B Owen

Forthcoming papers

Robust causal structure learning with some hidden variables
B Frot, P Nandy and M H Maathuis

Statistical inference for the population landscape via moment-adjusted stochastic gradients
T Liang and W J Su

Approximate Bayesian computation with the Wasserstein distance
E Bernton, P E Jacob, M Gerber and C P Robert

Multiple influential point detection in high dimensional regression spaces
J Zhao, C Liu, L Niu and C Leng

Clustering functional data into groups using projections
A Delaigle, P Hall and T Pham

Semiparametric model for bivariate survival data subject to biased sampling
J Piao, J Ning and Y Shen

A general framework for quantile estimation with incomplete data
P Han, L Kong, J Zhao and X Zhou

Hypoelliptic diffusions: filtering and inference from complete and partial observations
S Ditlevsen and A Samson

Construction of row–column factorial designs
J D Godolphin

Confidence intervals for causal effects with invalid instruments by using two-stage hard thresholding with voting
Z Guo, H Kang, T T Cai and D S Small