JournalTOCs

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 (It can contain Open Access articles)
ISSN (Print) 1369-7412 - ISSN (Online) 1467-9868
Published by John Wiley and Sons

[1763 journals]

Yanbo Tang's contribution to the Discussion of ‘Assumption‐lean
inference for generalised linear model parameters’ by Vansteelandt and
Dukes
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  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
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  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
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  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