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  Subjects -> STATISTICS (Total: 130 journals)
Showing 1 - 151 of 151 Journals sorted by number of followers
Review of Economics and Statistics     Hybrid Journal   (Followers: 150)
Statistics in Medicine     Hybrid Journal   (Followers: 137)
Journal of Econometrics     Hybrid Journal   (Followers: 83)
Journal of the American Statistical Association     Full-text available via subscription   (Followers: 72, SJR: 3.746, CiteScore: 2)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 52)
Biometrics     Hybrid Journal   (Followers: 50)
Sociological Methods & Research     Hybrid Journal   (Followers: 43)
Journal of the Royal Statistical Society, Series B (Statistical Methodology)     Hybrid Journal   (Followers: 41)
Journal of Business & Economic Statistics     Full-text available via subscription   (Followers: 40, SJR: 3.664, CiteScore: 2)
Journal of the Royal Statistical Society Series C (Applied Statistics)     Hybrid Journal   (Followers: 37)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 35)
Oxford Bulletin of Economics and Statistics     Hybrid Journal   (Followers: 33)
Journal of Risk and Uncertainty     Hybrid Journal   (Followers: 33)
Journal of the Royal Statistical Society, Series A (Statistics in Society)     Hybrid Journal   (Followers: 28)
Statistical Methods in Medical Research     Hybrid Journal   (Followers: 28)
The American Statistician     Full-text available via subscription   (Followers: 26)
Journal of Urbanism: International Research on Placemaking and Urban Sustainability     Hybrid Journal   (Followers: 24)
Journal of Biopharmaceutical Statistics     Hybrid Journal   (Followers: 23)
Journal of Computational & Graphical Statistics     Full-text available via subscription   (Followers: 21)
Journal of Applied Statistics     Hybrid Journal   (Followers: 20)
Journal of Forecasting     Hybrid Journal   (Followers: 20)
British Journal of Mathematical and Statistical Psychology     Full-text available via subscription   (Followers: 18)
Statistical Modelling     Hybrid Journal   (Followers: 18)
International Journal of Quality, Statistics, and Reliability     Open Access   (Followers: 17)
Journal of Statistical Software     Open Access   (Followers: 16, SJR: 13.802, CiteScore: 16)
Journal of Time Series Analysis     Hybrid Journal   (Followers: 16)
Risk Management     Hybrid Journal   (Followers: 16)
Computational Statistics     Hybrid Journal   (Followers: 15)
Pharmaceutical Statistics     Hybrid Journal   (Followers: 15)
Demographic Research     Open Access   (Followers: 14)
Statistics and Computing     Hybrid Journal   (Followers: 14)
Journal of Statistical Physics     Hybrid Journal   (Followers: 13)
Statistics & Probability Letters     Hybrid Journal   (Followers: 13)
Structural and Multidisciplinary Optimization     Hybrid Journal   (Followers: 12)
International Statistical Review     Hybrid Journal   (Followers: 12)
Decisions in Economics and Finance     Hybrid Journal   (Followers: 12)
Statistics: A Journal of Theoretical and Applied Statistics     Hybrid Journal   (Followers: 12)
Australian & New Zealand Journal of Statistics     Hybrid Journal   (Followers: 12)
Communications in Statistics - Theory and Methods     Hybrid Journal   (Followers: 11)
Geneva Papers on Risk and Insurance - Issues and Practice     Hybrid Journal   (Followers: 11)
Advances in Complex Systems     Hybrid Journal   (Followers: 10)
The Canadian Journal of Statistics / La Revue Canadienne de Statistique     Hybrid Journal   (Followers: 10)
Journal of Probability and Statistics     Open Access   (Followers: 10)
Communications in Statistics - Simulation and Computation     Hybrid Journal   (Followers: 9)
Biometrical Journal     Hybrid Journal   (Followers: 9)
Scandinavian Journal of Statistics     Hybrid Journal   (Followers: 9)
Fuzzy Optimization and Decision Making     Hybrid Journal   (Followers: 8)
Current Research in Biostatistics     Open Access   (Followers: 8)
Teaching Statistics     Hybrid Journal   (Followers: 8)
Multivariate Behavioral Research     Hybrid Journal   (Followers: 8)
Stata Journal     Full-text available via subscription   (Followers: 8)
Lifetime Data Analysis     Hybrid Journal   (Followers: 7)
Journal of Educational and Behavioral Statistics     Hybrid Journal   (Followers: 7)
Journal of Combinatorial Optimization     Hybrid Journal   (Followers: 7)
Handbook of Statistics     Full-text available via subscription   (Followers: 7)
Environmental and Ecological Statistics     Hybrid Journal   (Followers: 7)
Argumentation et analyse du discours     Open Access   (Followers: 7)
Significance     Hybrid Journal   (Followers: 7)
Asian Journal of Mathematics & Statistics     Open Access   (Followers: 7)
Queueing Systems     Hybrid Journal   (Followers: 7)
Journal of Statistical Planning and Inference     Hybrid Journal   (Followers: 7)
Research Synthesis Methods     Hybrid Journal   (Followers: 7)
Journal of Global Optimization     Hybrid Journal   (Followers: 6)
Law, Probability and Risk     Hybrid Journal   (Followers: 6)
International Journal of Computational Economics and Econometrics     Hybrid Journal   (Followers: 6)
Journal of Mathematics and Statistics     Open Access   (Followers: 6)
Statistical Methods and Applications     Hybrid Journal   (Followers: 6)
Journal of Nonparametric Statistics     Hybrid Journal   (Followers: 6)
Engineering With Computers     Hybrid Journal   (Followers: 5)
Optimization Methods and Software     Hybrid Journal   (Followers: 5)
CHANCE     Hybrid Journal   (Followers: 5)
Statistical Papers     Hybrid Journal   (Followers: 4)
Handbook of Numerical Analysis     Full-text available via subscription   (Followers: 4)
Mathematical Methods of Statistics     Hybrid Journal   (Followers: 4)
Applied Categorical Structures     Hybrid Journal   (Followers: 4)
Metrika     Hybrid Journal   (Followers: 4)
ESAIM: Probability and Statistics     Open Access   (Followers: 4)
Statistical Inference for Stochastic Processes     Hybrid Journal   (Followers: 3)
Journal of Statistical and Econometric Methods     Open Access   (Followers: 3)
Journal of Theoretical Probability     Hybrid Journal   (Followers: 3)
Journal of Algebraic Combinatorics     Hybrid Journal   (Followers: 3)
Monthly Statistics of International Trade - Statistiques mensuelles du commerce international     Full-text available via subscription   (Followers: 3)
Sankhya A     Hybrid Journal   (Followers: 3)
Technology Innovations in Statistics Education (TISE)     Open Access   (Followers: 2)
AStA Advances in Statistical Analysis     Hybrid Journal   (Followers: 2)
Extremes     Hybrid Journal   (Followers: 2)
Building Simulation     Hybrid Journal   (Followers: 2)
IEA World Energy Statistics and Balances -     Full-text available via subscription   (Followers: 2)
Stochastics An International Journal of Probability and Stochastic Processes: formerly Stochastics and Stochastics Reports     Hybrid Journal   (Followers: 2)
Stochastic Models     Hybrid Journal   (Followers: 2)
Optimization Letters     Hybrid Journal   (Followers: 2)
TEST     Hybrid Journal   (Followers: 2)
International Journal of Stochastic Analysis     Open Access   (Followers: 2)
Statistica Neerlandica     Hybrid Journal   (Followers: 1)
Wiley Interdisciplinary Reviews - Computational Statistics     Hybrid Journal   (Followers: 1)
Measurement Interdisciplinary Research and Perspectives     Hybrid Journal   (Followers: 1)
Statistics and Economics     Open Access  
Review of Socionetwork Strategies     Hybrid Journal  
SourceOECD Measuring Globalisation Statistics - SourceOCDE Mesurer la mondialisation - Base de donnees statistiques     Full-text available via subscription  
Journal of the Korean Statistical Society     Hybrid Journal  
Sequential Analysis: Design Methods and Applications     Hybrid Journal  

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Similar Journals
Journal Cover
Journal of the Royal Statistical Society, Series B (Statistical Methodology)
Journal Prestige (SJR): 7.005
Citation Impact (citeScore): 4
Number of Followers: 41  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1369-7412 - ISSN (Online) 1467-9868
Published by John Wiley and Sons Homepage  [1763 journals]
  • Yanbo Tang's contribution to the Discussion of ‘Assumption‐lean
           inference for generalised linear model parameters’ by Vansteelandt and
           Dukes

    • Free pre-print version: Loading...

      Authors: Yanbo Tang
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 722-723, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12532
      Issue No: Vol. 84, No. 3 (2022)
       
  • Jiwei Zhao’s contribution to the Discussion of ‘Assumption‐lean
           inference for generalised linear model parameters’ by Vansteelandt and
           Dukes

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      Authors: Jiwei Zhao
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 725-726, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12534
      Issue No: Vol. 84, No. 3 (2022)
       
  • Pallavi Basuʼs contribution to the Discussion of ‘Assumption‐lean
           inference for generalised linear model parameters’ by Vansteelandt and
           Dukes

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      Authors: Pallavi Basu
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 700-701, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12519
      Issue No: Vol. 84, No. 3 (2022)
       
  • Seconder of the vote of thanks to Vansteelandt and Dukes and contribution
           to the Discussion of ‘Assumption‐lean inference for generalised linear
           model parameters’

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      Authors: Vanessa Didelez
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 689-691, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12514
      Issue No: Vol. 84, No. 3 (2022)
       
  • Elizabeth L Ogburn, Junhui Cai, Arun K Kuchibhotla, Richard A Berk and
           Andreas Buja’s contribution to the Discussion of ‘Assumption‐lean
           inference for generalised linear model parameters’ by Vansteelandt and
           Dukes

    • Free pre-print version: Loading...

      Authors: Elizabeth L. Ogburn; Junhui Cai, Arun K. Kuchibhotla, Richard A. Berk, Andreas Buja
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 715-716, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12528
      Issue No: Vol. 84, No. 3 (2022)
       
  • Ilya Shpitser’s contribution to the Discussion of ‘Assumption‐lean
           inference for generalised linear model parameters’ by Vansteelandt and
           Dukes

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      Authors: Ilya Shpitser
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 720-721, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12531
      Issue No: Vol. 84, No. 3 (2022)
       
  • Eric J Tchetgen Tchetgen’s contribution to the Discussion of
           ‘Assumption‐lean inference for generalised linear model parameters’
           by Vansteelandt and Dukes

    • Free pre-print version: Loading...

      Authors: Eric J. Tchetgen Tchetgen
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 723-725, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12533
      Issue No: Vol. 84, No. 3 (2022)
       
  • Thomas S. Richardson’s contribution to the Discussion of
           ‘Assumption‐lean inference for generalised linear model parameters’
           by Vansteelandt and Dukes

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      Authors: Thomas S. Richardson
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 719-720, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12530
      Issue No: Vol. 84, No. 3 (2022)
       
  • Christian Hennig's contribution to the Discussion of ‘Assumption‐lean
           inference for generalised linear model parameters’ by Vansteelandt and
           Dukes

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      Authors: Christian Hennig
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 698-699, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12518
      Issue No: Vol. 84, No. 3 (2022)
       
  • Heather Battey’s contribution to the Discussion of ‘Assumption‐lean
           inference for generalised linear model parameters’ by Vansteelandt and
           Dukes

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      Authors: Heather Battey
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 696-698, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12517
      Issue No: Vol. 84, No. 3 (2022)
       
  • Authors' reply to the Discussion of ‘Assumption‐lean inference for
           generalised linear model parameters’ by Vansteelandt and Dukes

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      Authors: Stijn Vansteelandt; Oliver Dukes
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 729-739, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12536
      Issue No: Vol. 84, No. 3 (2022)
       
  • Proposer of the vote of thanks and contribution to the Discussion of
           ‘Assumption‐lean inference for generalised linear model parameters’
           by Vansteelandt and Dukes

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      Authors: Rhian M. Daniel
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 686-689, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12513
      Issue No: Vol. 84, No. 3 (2022)
       
  • Niwen Zhou and Xu Guo’s contribution to the Discussion of
           ‘Assumption‐lean inference for generalised linear model parameters’
           by Vansteelandt and Dukes

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      Authors: Niwen Zhou; Xu Guo
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 727-729, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12535
      Issue No: Vol. 84, No. 3 (2022)
       
  • Mats J Stensrud and Aaron L. Sarvet’s contribution to the Discussion of
           ‘Assumption‐lean inference for generalised linear model parameters’
           by Vansteelandt and Dukes

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      Authors: Mats J. Stensrud; Aaron L. Sarvet
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 694-696, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12516
      Issue No: Vol. 84, No. 3 (2022)
       
  • Peng Ding’s contribution to the Discussion of ‘Assumption‐lean
           inference for generalised linear model parameters’ by Vansteelandt and
           Dukes

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      Authors: Peng Ding
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 691-693, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12515
      Issue No: Vol. 84, No. 3 (2022)
       
  • Andreas Buja, Richard A. Berk, Arun K. Kuchibhotla, Linda Zhao and Ed
           George’s contribution to the Discussion of ‘Assumption‐lean
           inference for generalised linear model parameters’ by Vansteelandt and
           Dukes

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      Authors: Andreas Buja; Richard A. Berk, Arun K. Kuchibhotla, Linda Zhao, Ed George
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 703-705, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12521
      Issue No: Vol. 84, No. 3 (2022)
       
  • Blair Bilodeau's contribution to the Discussion of ‘Assumption‐lean
           inference for generalised linear model parameters’ by Vansteelandt and
           Dukes

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      Authors: Blair Bilodeau
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 701-702, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12520
      Issue No: Vol. 84, No. 3 (2022)
       
  • Chaohua Dong, Jiti Gao and Oliver Linton’s contribution to the
           Discussion of ‘Assumption‐lean inference for generalised linear model
           parameters’ by Vansteelandt and Dukes

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      Authors: Chaohua Dong; Jiti Gao, Oliver Linton
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 707-708, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12523
      Issue No: Vol. 84, No. 3 (2022)
       
  • Anna Choi and Weng Kee Wong’s contribution to the Discussion of
           ‘Assumption‐lean inference for generalised linear model parameters’
           by Vansteelandt and Dukes

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      Authors: Anna Choi; Weng Kee Wong
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 705-706, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12522
      Issue No: Vol. 84, No. 3 (2022)
       
  • Rachael V. Phillips and Mark J. van der Laan’s contribution to the
           Discussion of ‘Assumption‐lean inference for generalised linear model
           parameters’ by Vansteelandt and Dukes

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      Authors: Rachael V. Phillips; Mark J. Laan
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 717-718, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12529
      Issue No: Vol. 84, No. 3 (2022)
       
  • Ian Hunt's contribution to the Discussion of ‘Assumption‐lean
           inference for generalised linear model parameters’ by Vansteelandt and
           Dukes

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      Authors: Ian Hunt
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 711-712, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12525
      Issue No: Vol. 84, No. 3 (2022)
       
  • Oliver Hines and Karla Diaz‐Ordazʼs contribution to the discussion of
           ‘Assumption‐lean inference for generalised linear model parameters’
           by Vansteelandt and Dukes

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      Authors: Oliver Hines; Karla Diaz‐Ordaz
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 709-710, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12524
      Issue No: Vol. 84, No. 3 (2022)
       
  • Michael Lavine and James Hodges’ contribution to the Discussion of
           ‘Assumption‐lean inference for generalised linear model parameters’
           by Vansteelandt and Dukes

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      Authors: Michael Lavine; James Hodges
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 713-714, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12527
      Issue No: Vol. 84, No. 3 (2022)
       
  • Kuldeep Kumar’s contribution to the Discussion of ‘Assumption‐lean
           inference for generalised linear model parameters’ by Vansteelandt and
           Dukes

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      Authors: Kuldeep Kumar
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 712-713, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12526
      Issue No: Vol. 84, No. 3 (2022)
       
  • The sceptical Bayes factor for the assessment of replication success

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      Authors: Samuel Pawel; Leonhard Held
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 879-911, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12491
      Issue No: Vol. 84, No. 3 (2022)
       
  • Empirical Bayes PCA in high dimensions

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      Authors: Xinyi Zhong; Chang Su, Zhou Fan
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 853-878, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12490
      Issue No: Vol. 84, No. 3 (2022)
       
  • On functional processes with multiple discontinuities

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      Authors: Jialiang Li; Yaguang Li, Tailen Hsing
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 933-972, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12493
      Issue No: Vol. 84, No. 3 (2022)
       
  • Supervised multivariate learning with simultaneous feature auto‐grouping
           and dimension reduction

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      Authors: Yiyuan She; Jiahui Shen, Chao Zhang
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 912-932, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12492
      Issue No: Vol. 84, No. 3 (2022)
       
  • Coupling‐based convergence assessment of some Gibbs samplers for
           high‐dimensional Bayesian regression with shrinkage priors

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      Authors: Niloy Biswas; Anirban Bhattacharya, Pierre E. Jacob, James E. Johndrow
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 973-996, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12495
      Issue No: Vol. 84, No. 3 (2022)
       
  • Statistical inference of the value function for reinforcement learning in
           infinite‐horizon settings

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      Authors: Chengchun Shi; Sheng Zhang, Wenbin Lu, Rui Song
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 765-793, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12465
      Issue No: Vol. 84, No. 3 (2022)
       
  • Bayesian estimation and comparison of conditional moment models

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      Authors: Siddhartha Chib; Minchul Shin, Anna Simoni
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 740-764, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12484
      Issue No: Vol. 84, No. 3 (2022)
       
  • High‐dimensional changepoint estimation with heterogeneous
           missingness

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      Authors: Bertille Follain; Tengyao Wang, Richard J. Samworth
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 1023-1055, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12540
      Issue No: Vol. 84, No. 3 (2022)
       
  • Assumption‐lean inference for generalised linear model parameters

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      Authors: Stijn Vansteelandt; Oliver Dukes
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 657-685, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12504
      Issue No: Vol. 84, No. 3 (2022)
       
  • Semiparametric estimation for causal mediation analysis with multiple
           causally ordered mediators

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      Authors: Xiang Zhou
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 794-821, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12487
      Issue No: Vol. 84, No. 3 (2022)
       
  • False discovery rate control with e‐values

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      Authors: Ruodu Wang; Aaditya Ramdas
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 822-852, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12489
      Issue No: Vol. 84, No. 3 (2022)
       
  • Robust generalised Bayesian inference for intractable likelihoods

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      Authors: Takuo Matsubara; Jeremias Knoblauch, François‐Xavier Briol, Chris J. Oates
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 997-1022, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12500
      Issue No: Vol. 84, No. 3 (2022)
       
  • Issue Information

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      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Volume 84, Issue 3, Page 655-656, July 2022.
      PubDate: 2022-07-26T12:00:00-07:00
      DOI: 10.1111/rssb.12435
      Issue No: Vol. 84, No. 3 (2022)
       
  • The Debiased Spatial Whittle likelihood

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      Authors: Arthur P. Guillaumin; Adam M. Sykulski, Sofia C. Olhede, Frederik J. Simons
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), EarlyView.
      PubDate: 2022-07-20T05:55:39-07:00
      DOI: 10.1111/rssb.12539
       
  • Paired or partially paired two‐sample tests with unordered samples

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      Authors: Yudong Wang; Yanlin Tang, Zhi‐Sheng Ye
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), EarlyView.
      PubDate: 2022-06-21T02:45:21-07:00
      DOI: 10.1111/rssb.12541
       
  • On the cross‐validation bias due to unsupervised preprocessing

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      Authors: Amit Moscovich; Saharon Rosset
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), EarlyView.
      PubDate: 2022-06-14T02:00:47-07:00
      DOI: 10.1111/rssb.12537
       
  • A statistical interpretation of spectral embedding: The generalised random
           dot product graph

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      Authors: Patrick Rubin‐Delanchy; Joshua Cape, Minh Tang, Carey E. Priebe
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), EarlyView.
      PubDate: 2022-06-03T05:21:47-07:00
      DOI: 10.1111/rssb.12509
       
  • Multiply robust estimation of causal effects under principal ignorability

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      Authors: Zhichao Jiang; Shu Yang, Peng Ding
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), EarlyView.
      PubDate: 2022-05-20T10:04:01-07:00
      DOI: 10.1111/rssb.12538
       
  • Functional peaks‐over‐threshold analysis

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      Authors: Raphaël de Fondeville; Anthony C. Davison
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), EarlyView.
      PubDate: 2022-05-20T04:35:54-07:00
      DOI: 10.1111/rssb.12498
       
  • Efficient evaluation of prediction rules in semi‐supervised settings
           under stratified sampling

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      Authors: Jessica Gronsbell; Molei Liu, Lu Tian, Tianxi Cai
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), EarlyView.
      PubDate: 2022-04-26T03:21:02-07:00
      DOI: 10.1111/rssb.12502
       
  • Corrigendum to ‘Simulation of multivariate diffusion bridges’

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      Authors: Mogens Bladt; Samuel Finch, Michael Sørensen
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), EarlyView.
      PubDate: 2022-04-26T02:59:01-07:00
      DOI: 10.1111/rssb.12512
       
  • Nonparametric, tuning‐free estimation of S‐shaped functions

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      Authors: Oliver Y. Feng; Yining Chen, Qiyang Han, Raymond J. Carroll, Richard J. Samworth
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), EarlyView.
      PubDate: 2022-04-21T07:56:57-07:00
      DOI: 10.1111/rssb.12481
       
  • Bayesian context trees: Modelling and exact inference for discrete time
           series

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      Authors: Ioannis Kontoyiannis; Lambros Mertzanis, Athina Panotopoulou, Ioannis Papageorgiou, Maria Skoularidou
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), EarlyView.
      PubDate: 2022-04-20T07:30:33-07:00
      DOI: 10.1111/rssb.12511
       
  • Bayesian inference for risk minimization via exponentially tilted
           empirical likelihood

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      Authors: Rong Tang; Yun Yang
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), EarlyView.
      PubDate: 2022-04-20T07:20:39-07:00
      DOI: 10.1111/rssb.12510
       
  • Manifold Markov chain Monte Carlo methods for Bayesian inference in
           diffusion models

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      Authors: Matthew M. Graham; Alexandre H. Thiery, Alexandros Beskos
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), EarlyView.
      PubDate: 2022-04-19T06:06:01-07:00
      DOI: 10.1111/rssb.12497
       
  • Fast increased fidelity samplers for approximate Bayesian Gaussian process
           regression

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      Authors: Kelly R. Moran; Matthew W. Wheeler
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), EarlyView.
      PubDate: 2022-04-19T05:36:44-07:00
      DOI: 10.1111/rssb.12494
       
  • Semiparametric latent class analysis of recurrent event data

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      Authors: Wei Zhao; Limin Peng, John Hanfelt
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), EarlyView.
      PubDate: 2022-04-14T11:35:30-07:00
      DOI: 10.1111/rssb.12499
       
  • Bootstrap inference for the finite population mean under complex sampling
           designs

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      Authors: Zhonglei Wang; Liuhua Peng, Jae Kwang Kim
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), EarlyView.
      PubDate: 2022-04-13T12:00:00-07:00
      DOI: 10.1111/rssb.12506
       
  • Optimal and maximin procedures for multiple testing problems

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      Authors: Saharon Rosset; Ruth Heller, Amichai Painsky, Ehud Aharoni
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), EarlyView.
      PubDate: 2022-04-12T12:00:00-07:00
      DOI: 10.1111/rssb.12507
       
  • Testing for a change in mean after changepoint detection

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      Authors: Sean Jewell; Paul Fearnhead, Daniela Witten
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), EarlyView.
      PubDate: 2022-04-12T08:01:51-07:00
      DOI: 10.1111/rssb.12501
       
  • Efficient manifold approximation with spherelets

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      Authors: Didong Li; Minerva Mukhopadhyay, David B. Dunson
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), EarlyView.
      PubDate: 2022-04-12T07:34:35-07:00
      DOI: 10.1111/rssb.12508
       
  • Optimal thinning of MCMC output

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      Authors: Marina Riabiz; Wilson Ye Chen, Jon Cockayne, Pawel Swietach, Steven A. Niederer, Lester Mackey, Chris. J. Oates
      Abstract: Journal of the Royal Statistical Society: Series B (Statistical Methodology), EarlyView.
      PubDate: 2022-04-03T11:39:49-07:00
      DOI: 10.1111/rssb.12503
       
 
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