Journal of the Royal Statistical Society. Series B, Statistical methodology

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Publications

volume 86, number 3, 2024

Yaqing Chen, Shu-Chin Lin, Yang Zhou, Owen T Carmichael, Hans-Georg Müller, Jane-Ling Wang
Gradient synchronization for multivariate functional data, with application to brain connectivity. Journal of the Royal Statistical Society. Series B, Statistical methodology 86 (3) (2024)
Yaqing Chen, Shu-Chin Lin, Yang Zhou, Owen T Carmichael, Hans-Georg Müller, Jane-Ling Wang
Gradient synchronization for multivariate functional data, with application to brain connectivity. Journal of the Royal Statistical Society. Series B, Statistical methodology 86 (3) (2024)

volume 86, number 1, 2023

Thomas Maullin-Sapey, Armin Schwartzman, Thomas E Nichols
Spatial confidence regions for combinations of excursion sets in image analysis. Journal of the Royal Statistical Society. Series B, Statistical methodology 86 (1) (2023)
Thomas Maullin-Sapey, Armin Schwartzman, Thomas E Nichols
Spatial confidence regions for combinations of excursion sets in image analysis. Journal of the Royal Statistical Society. Series B, Statistical methodology 86 (1) (2023)

volume 86, number 2, 2023

Yinqiu He, Peter X K Song, Gongjun Xu
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis. Journal of the Royal Statistical Society. Series B, Statistical methodology 86 (2) (2023)
Naoki Egami, Eric J Tchetgen Tchetgen
Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding. Journal of the Royal Statistical Society. Series B, Statistical methodology 86 (2) (2023)
Yinqiu He, Peter X K Song, Gongjun Xu
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis. Journal of the Royal Statistical Society. Series B, Statistical methodology 86 (2) (2023)
Naoki Egami, Eric J Tchetgen Tchetgen
Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding. Journal of the Royal Statistical Society. Series B, Statistical methodology 86 (2) (2023)
Naoki Egami, Eric J Tchetgen Tchetgen
Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding. Journal of the Royal Statistical Society. Series B, Statistical methodology 86 (2) (2023)

volume 85, number 2, 2023

Ying Kuen Cheung, Keith M Diaz
Monotone response surface of multi-factor condition: estimation and Bayes classifiers. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (2) (2023)
Ying Kuen Cheung, Keith M Diaz
Monotone response surface of multi-factor condition: estimation and Bayes classifiers. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (2) (2023)
Xiudi Li, Sijia Li, Alex Luedtke
Estimating the Efficiency Gain of Covariate-Adjusted Analyses in Future Clinical Trials Using External Data. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (2) (2023)
Ying Kuen Cheung, Keith M Diaz
Monotone response surface of multi-factor condition: estimation and Bayes classifiers. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (2) (2023)
Ying Kuen Cheung, Keith M Diaz
Monotone response surface of multi-factor condition: estimation and Bayes classifiers. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (2) (2023)

volume 85, number 3, 2023

Shu Yang, Chenyin Gao, Donglin Zeng, Xiaofei Wang
Elastic integrative analysis of randomised trial and real-world data for treatment heterogeneity estimation. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (3) (2023)
Wei Li, Wang Miao, Eric Tchetgen Tchetgen
Non-parametric inference about mean functionals of non-ignorable non-response data without identifying the joint distribution. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (3) (2023)
Changbo Zhu, Jane-Ling Wang
Testing homogeneity: the trouble with sparse functional data. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (3) (2023)
Changbo Zhu, Hans-Georg Müller
Autoregressive optimal transport models. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (3) (2023)

volume 85, number 4, 2023

Yunzhe Zhou, Chengchun Shi, Lexin Li, Qiwei Yao
Testing for the Markov property in time series via deep conditional generative learning. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (4) (2023)

volume 85, number 5, 2023

Hongxiang Qiu, Edgar Dobriban, Eric Tchetgen Tchetgen
Prediction sets adaptive to unknown covariate shift. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (5) (2023)
Daiwei Zhang, Lexin Li, Chandra Sripada, Jian Kang
Image response regression via deep neural networks. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (5) (2023)
Hongxiang Qiu, Edgar Dobriban, Eric Tchetgen Tchetgen
Prediction sets adaptive to unknown covariate shift. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (5) (2023)
Daiwei Zhang, Lexin Li, Chandra Sripada, Jian Kang
Image response regression via deep neural networks. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (5) (2023)
Daiwei Zhang, Lexin Li, Chandra Sripada, Jian Kang
Image response regression via deep neural networks. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (5) (2023)
Daiwei Zhang, Lexin Li, Chandra Sripada, Jian Kang
Image response regression via deep neural networks. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (5) (2023)
Hongxiang Qiu, Edgar Dobriban, Eric Tchetgen Tchetgen
Prediction sets adaptive to unknown covariate shift. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (5) (2023)
Daiwei Zhang, Lexin Li, Chandra Sripada, Jian Kang
Image response regression via deep neural networks. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (5) (2023)
Hongxiang Qiu, Edgar Dobriban, Eric Tchetgen Tchetgen
Prediction sets adaptive to unknown covariate shift. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (5) (2023)
Daiwei Zhang, Lexin Li, Chandra Sripada, Jian Kang
Image response regression via deep neural networks. Journal of the Royal Statistical Society. Series B, Statistical methodology 85 (5) (2023)

volume 84, number 2, 2022

Kuang-Yao Lee, Lexin Li
Functional Structural Equation Model. Journal of the Royal Statistical Society. Series B, Statistical methodology 84 (2) (2022)
Samuel Livingstone, Giacomo Zanella
The Barker proposal: Combining robustness and efficiency in gradient-based MCMC. Journal of the Royal Statistical Society. Series B, Statistical methodology 84 (2) (2022)
Leying Guan, Robert Tibshirani
Prediction and outlier detection in classification problems. Journal of the Royal Statistical Society. Series B, Statistical methodology 84 (2) (2022)

volume 84, number 4, 2022

Wei Zhao, Limin Peng, John Hanfelt
Semiparametric Latent Class Analysis of Recurrent Event Data. Journal of the Royal Statistical Society. Series B, Statistical methodology 84 (4) (2022)
Jessica Gronsbell, Molei Liu, Lu Tian, Tianxi Cai
Efficient Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling. Journal of the Royal Statistical Society. Series B, Statistical methodology 84 (4) (2022)
Kelly R Moran, Matthew W Wheeler
Fast increased fidelity samplers for approximate Bayesian Gaussian process regression. Journal of the Royal Statistical Society. Series B, Statistical methodology 84 (4) (2022)
Arthur P Guillaumin, Adam M Sykulski, Sofia C Olhede, Frederik J Simons
The Debiased Spatial Whittle likelihood. Journal of the Royal Statistical Society. Series B, Statistical methodology 84 (4) (2022)
Kelly R Moran, Matthew W Wheeler
Fast increased fidelity samplers for approximate Bayesian Gaussian process regression. Journal of the Royal Statistical Society. Series B, Statistical methodology 84 (4) (2022)
Arthur P Guillaumin, Adam M Sykulski, Sofia C Olhede, Frederik J Simons
The Debiased Spatial Whittle likelihood. Journal of the Royal Statistical Society. Series B, Statistical methodology 84 (4) (2022)
Kelly R Moran, Matthew W Wheeler
Fast increased fidelity samplers for approximate Bayesian Gaussian process regression. Journal of the Royal Statistical Society. Series B, Statistical methodology 84 (4) (2022)
Sean Jewell, Paul Fearnhead, Daniela Witten
Testing for a Change in Mean After Changepoint Detection. Journal of the Royal Statistical Society. Series B, Statistical methodology 84 (4) (2022)

volume 84, number 5, 2022

Tyler J VanderWeele, Stijn Vansteelandt
A statistical test to reject the structural interpretation of a latent factor model. Journal of the Royal Statistical Society. Series B, Statistical methodology 84 (5) (2022)
Tyler J VanderWeele, Stijn Vansteelandt
A statistical test to reject the structural interpretation of a latent factor model. Journal of the Royal Statistical Society. Series B, Statistical methodology 84 (5) (2022)
Ziwei Zhu, Tengyao Wang, Richard J Samworth
High-dimensional principal component analysis with heterogeneous missingness. Journal of the Royal Statistical Society. Series B, Statistical methodology 84 (5) (2022)
Tyler J VanderWeele, Stijn Vansteelandt
A statistical test to reject the structural interpretation of a latent factor model. Journal of the Royal Statistical Society. Series B, Statistical methodology 84 (5) (2022)
Tyler J VanderWeele, Stijn Vansteelandt
A statistical test to reject the structural interpretation of a latent factor model. Journal of the Royal Statistical Society. Series B, Statistical methodology 84 (5) (2022)

volume 84, number 1, 2021

Sai Li, T Tony Cai, Hongzhe Li
Transfer Learning for High-Dimensional Linear Regression: Prediction, Estimation and Minimax Optimality. Journal of the Royal Statistical Society. Series B, Statistical methodology 84 (1) (2021)

volume 84, number 2, 2021

Qingyuan Zhao, Dylan S Small, Ashkan Ertefaie
Selective inference for effect modification via the lasso. Journal of the Royal Statistical Society. Series B, Statistical methodology 84 (2) (2021)

volume 83, number 2, 2021

Kun Meng, Ani Eloyan
Principal Manifold Estimation via Model Complexity Selection. Journal of the Royal Statistical Society. Series B, Statistical methodology 83 (2) (2021)

volume 83, number 3, 2021

Bo Wei, Limin Peng, Mei-Jie Zhang, Jason P Fine
Estimation of causal quantile effects with a binary instrumental variable and censored data. Journal of the Royal Statistical Society. Series B, Statistical methodology 83 (3) (2021)

volume 82, number 5, 2020

Minerva Mukhopadhyay, Didong Li, David B Dunson
Estimating densities with non-linear support by using Fisher-Gaussian kernels. Journal of the Royal Statistical Society. Series B, Statistical methodology 82 (5) (2020)