Journal of the Royal Statistical Society Series B-Statistical Methodol

Article	Citations
Valid and Approximately Valid Confidence Intervals for Current Status Data	105
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values	71
	56
Issue Information	48
Erratum: Anchor Regression: Heterogeneous Data Meet Causality	37
Kuldeep Kumar’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	37
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	36
Erratum: Optimal Control of False Discovery Criteria in the Two-Group Model	34
Peter Krusche and Frank Bretz's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	32
Jorge Mateu’s Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	29
Eric J Tchetgen Tchetgen’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	26
Ilya Shpitser’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	25
Christian Hennig's contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	24
Correction to: Ruodu Wang's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	21
The HulC: confidence regions from convex hulls	20
Mark Pilling's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	19
Supervised Multivariate Learning with Simultaneous Feature Auto-Grouping and Dimension Reduction	18
Erratum: Usable and precise asymptotics for generalized linear mixed model analysis and design	18
Normalised latent measure factor models	17
Empirical Likelihood-Based Inference for Functional Means with Application to Wearable Device Data	17
Seconder of the vote of thanks to Rohe & Zeng and contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’	17
Kaizheng Wang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	17
Alexander Van Werde's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	16
David Draper and Erdong Guo's contribution to the discussion of ‘Martingale posterior distributions’, by Fong, Holmes and Walker	16
David Huk, Lorenzo Pacchiardi, Ritabrata Dutta and Mark Steel's contribution to the Discussion of ‘Martingale posterior distributions’ by Fong, Holmes and Walker	16

High-dimensional Changepoint Estimation with Heterogeneous Missingness	15
Seconder of the vote of thanks to Waudby-Smith and Ramdas and contribution to the Discussion of ‘Estimating means of bounded random variables by betting’	15
Robustness, model checking, and hierarchical models	14
Gaussian Prepivoting for Finite Population Causal Inference	14
Heather Battey’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	14
Yongmiao Hong, Oliver Linton, Jiajing Sun, and Meiting Zhu’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	14
Joris Mulder’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	14
Maozai Tian, Keming Yu and Jiangfeng Wang’s contribution to the Discussion of ‘Safe testing’ by Grünwald, De Heide, and Koolen	14
Authors’ reply to the Discussion of ‘From denoising diffusions to denoising Markov models’ at the Discussion Meeting on ‘Probabilistic and statistical aspects of machine learning’	13
Two-stage estimation and bias-corrected empirical likelihood in a partially linear single-index varying-coefficient model	13
Bo Zhang’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	13
Authors’ reply to the Discussion of ‘Safe testing’	13
Marta Catalano, Augusto Fasano, Matteo Giordano, and Giovanni Rebaudo’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	12
Jorge Mateu's contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	12
Integrative conformal p-values for out-of-distribution testing with labelled outliers	11
Thomas S. Richardson and James M. Robins’ contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	11
Holdout predictive checks for Bayesian model criticism	11
Thorsten Dickhaus’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	11
Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation	10
Proposer of the vote of thanks to Grünwald, de Heide, and Koolen and contribution to the Discussion of ‘Safe testing’	10
Marco Cattaneo's contribution to the Discussion of “Safe testing” by Grünwald, de Heide, and Koolen	10
Controlling the false discovery rate in transformational sparsity: Split Knockoffs	10
Stefano Rizzelli’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	10
Yudong Chen and Yining Chen’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	10
α-separability and adjustable combination of amplitude and phase model for functional data	10
Joshua Bon and Christian P. Robert’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	9
Frequentist inference for semi-mechanistic epidemic models with interventions	9
Catch me if you can: signal localization with knockoff e-values	9
On Functional Processes with Multiple Discontinuities	9
Alignment and comparison of directed networks via transition couplings of random walks	9
Causal inference on distribution functions	9
Correlation adjusted debiased Lasso: debiasing the Lasso with inaccurate covariate model	9
Hien Nguyen’s contribution to the Discussion of “Estimating means of bounded random variables by betting” by Waudby-Smith and Ramdas	8
Covariate Powered Cross-Weighted Multiple Testing	8
Analysis of Networks via the Sparseβ-model	8
Image response regression via deep neural networks	8
Simultaneous directional inference	8
Strategic two-sample test via the two-armed bandit process	8
Gregor Steiner and Mark Steel’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	7
Correction to: Optimal and Maximin Procedures for Multiple Testing Problems	7
Modelling matrix time series via a tensor CP-decomposition	7
Designing to detect heteroscedasticity in a regression model	7
Seconder of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’	7
A model where the least trimmed squares estimator is maximum likelihood	7
Approximate Laplace Approximations for Scalable Model Selection	7
Isotonic Distributional Regression	7
The DeCAMFounder: nonlinear causal discovery in the presence of hidden variables	7
Manifold Markov Chain Monte Carlo Methods for Bayesian Inference in Diffusion Models	7
Two-way dynamic factor models for high-dimensional matrix-valued time series	7
Safe testing	6

Yinqiu He, Yuqi Gu and Zhilian Ying's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	6
Gaussian Differential Privacy	6
Xiaoyue Niu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	6
Bayesian predictive decision synthesis	6
Ordering factorial experiments	6
Michael Lavine and James Hodges’ Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	6
Seconder of the Vote of thanks to Vansteelandt and Dukes and Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’	5
Isadora Antoniano Villalobos's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	5
Proposer of the Vote of Thanks and Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	5
Rong Jiang and Keming Yu's contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	5
Jiayi Li, Yuantong Li and Xiaowu Dai's contribution to the Discussion of ‘Estimating means of bounded random variables by betting' by Waudby-Smith and Ramdas	5
Optimal Thinning of MCMC Output	5
Issue Information	5
	5
Jiwei Zhao’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	5
Priyantha Wijayatunga’s Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	5
Wang and Leng (2016), High-Dimensional Ordinary Least-Squares Projection for Screening Variables, Journal of The Royal Statistical Society Series B, 78, 589–611	5
Filippo Ascolani, Antonio Lijoi, and Igor Prünster’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	5
Functional Peaks-Over-Threshold Analysis	5
Priyantha Wijayatunga’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes, and Walker	5
Assumption-lean Inference for Generalised Linear Model Parameters	4
Correction to: Ordering factorial experiments	4
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation	4
An Approximation Algorithm for Blocking of an Experimental Design	4
Ian Hunt's Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	4
Elastic integrative analysis of randomised trial and real-world data for treatment heterogeneity estimation	4
Model identification via total Frobenius norm of multivariate spectra	4
Causal Inference with Spatio-Temporal Data: Estimating the Effects of Airstrikes on Insurgent Violence in Iraq	4
Anna Choi and Weng Kee Wong’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	4
Konstantin Siroki and Korbinian Strimmer’s contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe and Zeng	4
Sparse Kronecker product decomposition: a general framework of signal region detection in image regression	4
Correction to: Holdout predictive checks for Bayesian model criticism	4
Prior Sample Size Extensions for Assessing Prior Impact and Prior-Likelihood Discordance	4
Peng Ding’s Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	4
Synthetic Controls with Staggered Adoption	3
Proposers of the vote of thanks to Crane and Xu and contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’	3
Joint Quantile Regression for Spatial Data	3
Selective Inference for Effect Modification Via the Lasso	3
Statistical testing under distributional shifts	3
Computationally efficient and data-adaptive changepoint inference in high dimension	3
Semi-parametric tensor factor analysis by iteratively projected singular value decomposition	3
Quasi-Newton updating for large-scale distributed learning	3
CovNet: Covariance Networks for Functional Data on Multidimensional Domains	3
Full-model estimation for non-parametric multivariate finite mixture models	3
Jason Wyse, James Ng, Arthur White and Michael Fop's contribution to the Discussion of ‘Root and community inference on the latent growth process of a network' by Crane and Xu	3
Another look at bandwidth-free inference: a sample splitting approach	3
A nested error regression model with high-dimensional parameter for small area estimation	3
Usable and Precise Asymptotics for Generalized Linear Mixed Model Analysis and Design	3
Vladimir Vovk's contribution to the Discussion of “Estimating means of bounded random variables by betting” by Waudby-Smith and Ramdas	3
Statistical inference for high-dimensional panel functional time series	2
Permutation-based true discovery guarantee by sum tests	2
On the role of surrogates in the efficient estimation of treatment effects with limited outcome data	2
James Jackson’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	2
Daniela Cialfi’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	2
Qing Yang and Xin Tong’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	2
Ensemble methods for testing a global null	2
Monte Carlo goodness-of-fit tests for degree corrected and related stochastic blockmodels	2
Seconder of the vote of thanks to Grünwald, de Heide, and Koolen and contribution to the Discussion of ‘Safe testing’	2
Sandwich boosting for accurate estimation in partially linear models for grouped data	2
Sander Greenland’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	2
Judith ter Schure’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	2
Sam Power’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	2
Heather Battey’s contribution to the Discussion of ‘Parameterizing and simulating from causal models’ by Evans and Didelez	2
Authors' reply to the Discussion of ‘Estimating means of bounded random variables by betting’	2
Spatial confidence regions for combinations of excursion sets in image analysis	2
Estimating means of bounded random variables by betting	2
Seconder of the vote of thanks to Crane and Xu and contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’	2
Andrej Srakar’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	2
Covariate-adaptive randomization inference in matched designs	2
Corrected generalized cross-validation for finite ensembles of penalized estimators	2
Proposer of the vote of thanks to Fong, Holmes and Walker and contribution to the Discussion of ‘Martingale Posterior Distributions’	2
Adaptive bootstrap tests for composite null hypotheses in the mediation pathway analysis	2
Derandomised knockoffs: leveraging e-values for false discovery rate control	2
Debiased inference on heterogeneous quantile treatment effects with regression rank scores	2
Nonparametric estimation of the continuous treatment effect with measurement error	1
Least squares estimation of a quasiconvex regression function	1
Authors’ reply to the Discussion of ‘Automatic change-point detection in time series via deep learning’ at the Discussion Meeting on ‘Probabilistic and statistical aspects of machine learning’	1
Pierre-Aurelien Gilliot, Christophe Andrieu, Anthony Lee, Song Liu, and Michael Whitehouse’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machi	1
Debiased inference for a covariate-adjusted regression function	1
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	1

Ramses Mena Chavez's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	1
Randomized empirical likelihood test for ultra-high dimensional means under general covariances	1
Rungang Han and Anru R. Zhangs contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe & Zeng	1
Increasing Power for Observational Studies of Aberrant Response: An Adaptive Approach	1
Proximal survival analysis to handle dependent right censoring	1
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods	1
Contents of Volume 85, 2023	1
A focusing framework for testing bi-directional causal effects in Mendelian randomization	1
Estimating the efficiency gain of covariate-adjusted analyses in future clinical trials using external data	1
M.N.M. van Lieshout and C. Lu’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	1
Structure Learning for Extremal Tree Models	1
Semi-parametric estimation of treatment effects in randomised experiments	1
Shakeel Gavioli-Akilagun’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	1
Issue Information	1
Multivariate, heteroscedastic empirical Bayes via nonparametric maximum likelihood	1
Sebastian Dietz’s Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Dong et al.	1
Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC	1
Bayesian Inference for Risk Minimization via Exponentially Tilted Empirical Likelihood	1
Sayan Banerjee’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	1
Moving beyond population variable importance: concept, theory and applications of individual variable importance	1
David Siegmund's contribution to the Discussion of “Estimating means of bounded random variables by betting” by Waudby-Smith and Ramdas	1
Neural networks meet random forests	1
Covariate adjustment in multiarmed, possibly factorial experiments	1
Christine P Chai's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	1
Proposer of the vote of thanks to Evans and Didelez and contribution to the Discussion of ‘Parameterizing and simulating from causal models’	1
GGM Knockoff Filter: False Discovery Rate Control for Gaussian Graphical Models	1
Randomisation inference beyond the sharp null: bounded null hypotheses and quantiles of individual treatment effects	1
Testing many constraints in possibly irregular models using incomplete U-statistics	1
Bayesian Estimation and Comparison of Conditional Moment Models	1
Bootstrap Inference for the Finite Population Mean under Complex Sampling Designs	1
	1
Jiaqi Gu and Guosheng Yin’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker	1
Spatial Birth–Death–Move Processes: Basic Properties and Estimation of their Intensity Functions	1
Tao Wang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	1
Christine P. Chai's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	1
	1
Conformal Inference of Counterfactuals and Individual Treatment Effects	1
Contents of Volume 84, 2022	1
Robust Generalised Bayesian Inference for Intractable Likelihoods	1
Ying Zhou and Xinyi Zhang's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	1
Semiparametric Estimation for Causal Mediation Analysis with Multiple Causally Ordered Mediators	0
Tyler J. VanderWeele's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
Prediction and Outlier Detection in Classification Problems	0
Authors' reply to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
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	0
Efficient Manifold Approximation with Spherelets	0
Anthony C Davison and Igor Rodionov’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	0
Multiply Robust Estimation of Causal Effects under Principal Ignorability	0
Extended fiducial inference: toward an automated process of statistical inference	0
Junhui Cai, Dan Yang, Linda Zhao and Wu Zhu's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
On Efficient Dimension Reduction with Respect to the Interaction between Two Response Variables	0
Philip B. Stark’s contribution to the Discussion of ‘Estimating means of bounded random variables by betting’ by Waudby-Smith and Ramdas	0
Tianxi Li’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	0
Yanbo Tang's Contribution to the Discussion of ‘Assumption-Lean Inference for Generalised Linear Model Parameters’ by Vansteelandt and Dukes	0
Informative core identification in complex networks	0
Errata to “Functional Models for Time-Varying Random Objects”	0
Vintage factor analysis with Varimax performs statistical inference	0
Spatial effect detection regression for large-scale spatio-temporal covariates	0
Prediction sets for high-dimensional mixture of experts models	0
Causal inference with invalid instruments: post-selection problems and a solution using searching and sampling	0
J. Goseling and M.N.M. van Lieshout's Contribution to the Discussion of ‘Gaussian Differential Privacy’ by Donget al.	0
Kuldeep Kumar's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
Correction to: X-vine models for multivariate extremes	0
Alexander Ly’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	0
A general framework for cutting feedback within modularized Bayesian inference	0
Yicong Jiang and Zheng Tracy Ke’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	0
Karl Rohe and Muzhe Zeng’s reply to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’	0
Joshua Cape's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
Issue Information	0
Estimating and improving dynamic treatment regimes with a time-varying instrumental variable	0
Ivor Cribben and Anastasiou Andreas’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’	0
Root and community inference on the latent growth process of a network	0
Contents of Volume 86, 2024	0
Filippo Ascolani, Antonio Lijoi and Igor Prünster’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	0
Correction to: Sensitivity Analysis for Inverse Probability Weighting Estimators via the Percentile Bootstrap	0
Modelling High-Dimensional Categorical Data using Nonconvex Fusion Penalties	0
Dynamic modelling of sparse longitudinal data and functional snippets with stochastic differential equations	0
Peter J. Bickel, Derek Bean, Aiyou Chen and Purnamrita Sarkar's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng	0
Model-Assisted Analyses of Cluster-Randomized Experiments	0
Seconder of the Vote of Thanks to Donget al.and Contribution to the Discussion of ‘Gaussian Differential Privacy’	0
Issue Information	0
Biased-sample empirical likelihood weighting for missing data problems: an alternative to inverse probability weighting	0
Luigi Pace and Alessandra Salvan’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	0
Identifying the latent space geometry of network models through analysis of curvature	0
Statistical inference for multivariate extremes via a geometric approach	0
Proposer of the vote of thanks to Rohe & Zeng and contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’	0
Scalable couplings for the random walk Metropolis algorithm	0
Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding	0
Issue Information	0
Manifold lifting: scaling Markov chain Monte Carlo to the vanishing noise regime	0
Bayesian penalized empirical likelihood and Markov Chain Monte Carlo sampling	0
Bayesian fusion: scalable unification of distributed statistical analyses	0
Testing for a Change in Mean after Changepoint Detection	0
Zihao Wen and David L. Dowe’s contribution to the Discussion of ‘Safe testing’ by Grünwald, de Heide, and Koolen	0
Yang Feng and Jiajin Sun’s contribution to the Discussion of ‘Root and community inference on the latent growth process of a network’ by Crane and Xu	0