Journal Series B: current and forthcoming papers

RSS Series B journalVolume 81 (2019), part 3

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

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

Scalable importance tempering and Bayesian variable selection
G Zanella and G Roberts

Computer model calibration with confidence and consistency
M Plumlee

Post-selection estimation and testing following aggregate association tests
R Heller, A Meir and N Chatterjee

A general asymptotic framework for distribution-free graph-based two-sample tests
B B Bhattacharya

Intrinsic Gaussian processes on complex constrained domains
M Niu, P Cheung, Z Dai, N Lawrence and D Dunson

Lack-of-fit tests for quantile regression models
C Dong, G Li and X Feng

Narrowest-over-threshold detection of multiple change points and change-point-like features
R Baranowski, Y Chen and P Fryzlewicz

Forthcoming papers

High dimensional linear discriminant analysis: optimality, adaptive algorithm and missing data
T T Cai and L Zhang

Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap
Q Zhao, D S Small and B B Bhattacharya

MALMEM: model averaging in linear measurement error models
X Zhang, Y Ma and R J Carroll

Dynamic shrinkage processes
D R Kowal, D S Matteson and D Ruppert

Corrigendum: Detecting heteroscedasticity in non-parametric regression using weighted empirical processes
J Chown and U U Müller

Signal classification for the integrative analysis of multiple sequences of large-scale multiple tests
D Xiang, S D Zhao and T T Cai

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