Journal Series B


Series BStatistical methodology

Impact Factor: 3.965 (up from 3.278) ISI Journal Citation Reports © Ranking: 2019: 5/124 (statistics & probability).

Series B publishes work that is at the leading edge of methodological development, with a strong emphasis on relevance to statistical practice. Included are papers on study design, statistical models, methods of analysis and the theory that underlies them almost invariably motivated or illustrated by real examples.

The journal aims to disseminate work that is innovative, insightful and likely to have a substantial impact on the way that data are collected and analysed; within these parameters the journal’s scope is broad, embracing for example relevant work in applied probability, computational methods and the foundations of statistics.

Published five times a year by Wiley.

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

We have a plethora of international experts covering a broad range of statistics as part of the editorial panel for Journal Series B.

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

  • Current and forthcoming papers

    Volume 82 (2020), part 1

    Report of the Editors—2019
    D Dunson and S Wood

    Multiscale inference and long-run variance estimation in non-parametric regression with time series errors
    M Khismatullina and M Vogt

    Making sense of sensitivity: extending omitted variable bias
    C Cinelli and C Hazlett

    Renewable estimation and incremental inference in generalized linear models with streaming data sets
    L Luo and P X-K Song

    Targeted sampling from massive block model graphs with personalized PageRank
    F Chen, Y Zhang and K Rohe

    A Bayesian hierarchical model for related densities by using Pólya trees
    J Christensen and L Ma

    Bayesian empirical likelihood inference with complex survey data
    P Zhao, M Ghosh, J N K Rao and C Wu

    The conditional permutation test for independence while controlling for confounders
    T B Berrett, Y Wang, R F Barber and R J Samworth

    Robust inference on population indirect causal effects: the generalized front door criterion
    I R Fulcher, I Shpitser, S Marealle and E J Tchetgen Tchetgen

    Multivariate type G Matérn stochastic partial differential equation random fields
    D Bolin and J Wallin

    Rerandomization and regression adjustment
    X Li and P Ding

    Correction: ‘A new randomized response model’
    L K Grover and A Kaur

    Forthcoming papers

    Causal mediation analysis for stochastic interventions
    I Díaz and N S Hejazi

    Sumca: simple, unified, Monte-Carlo-assisted approach to second-order unbiased mean-squared prediction error estimation
    J Jiang and M Torabi

    Mulitiply robust causal inference with double-negative control adjustment for categorical unmeasured confounding
    X Shi, W Miao, J C Nelson and E J Tchetgen Tchetgen

    Sparse principal component analysis via axis-aligned random projections
    M Gataric, T Wang and R J Samworth

    Semisupervised inference for explained variance in high dimensional linear regression and its applications
    T T Cai and Z Guo

    Right singular vector projection graphs: fast high dimensional covariance matrix estimation under latent confounding
    R D Shah, B Frot, G-A Thanei and N Meinshausen

    Doubly robust inference when combining probability and non-probability samples with high dimensional data
    S Yang, J K Kim and R Song

    Model misspecification in approximate Bayesian computation: consequences and diagnostics
    D T Frazier, C P Robert and J Rousseau

    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