Journal Of The Royal Statistical Society Series B-statistical Methodology

Journal Of The Royal Statistical Society Series B-statistical Methodology

皇家统计学会杂志系列 B 统计方法论

  • 1区 中科院分区
  • Q1 JCR分区

高引用文章

文章名称 引用次数
Panning for gold: model-X' knockoffs for high dimensional controlled variable selection 36
Approximate residual balancing: debiased inference of average treatment effects in high dimensions 28
High dimensional change point estimation via sparse projection 17
Kernel-based tests for joint independence 13
Narrowest-over-threshold detection of multiple change points and change-point-like features 10
The correlated pseudomarginal method 9
Bayesian regression tree ensembles that adapt to smoothness and sparsity 9
Confidence intervals for causal effects with invalid instruments by using two-stage hard thresholding with voting 9
AdaPT: an interactive procedure for multiple testing with side information 8
Multiple testing with the structure-adaptive Benjamini-Hochberg algorithm 8
Inference for empirical Wasserstein distances on finite spaces 8
Estimation of tail risk based on extreme expectiles 8
Matrix variate regressions and envelope models 8
Random networks, graphical models and exchangeability 8
Approximate Bayesian computation with the Wasserstein distance 7
Detecting and dating structural breaks in functional data without dimension reduction 7
Another look at distance-weighted discrimination 7
Deterministic parallel analysis: an improved method for selecting factors and principal components 7
Goodness-of-fit tests for high dimensional linear models 6
A geometric approach to confidence regions and bands for functional parameters 6
Covariate-assisted ranking and screening for large-scale two-sample inference 6
Sparse generalized eigenvalue problem: optimal statistical rates via truncated Rayleigh flow 6
Dynamic shrinkage processes 5
False discovery proportion estimation by permutations: confidence for significance analysis of microarrays 5
A block model for node popularity in networks with community structure 5
Unified empirical likelihood ratio tests for functional concurrent linear models and the phase transition from sparse to dense functional data 5
Testing mutual independence in high dimension via distance covariance 4
Bounded, efficient and multiply robust estimation of average treatment effects using instrumental variables 4
On mitigating the analytical limitations of finely stratified experiments 4
Scalable importance tempering and Bayesian variable selection 4
Semi-supervised approaches to efficient evaluation of model prediction performance 3
Hybrid quantile regression estimation for time series models with conditional heteroscedasticity 3
A general asymptotic framework for distribution-free graph-based two-sample tests 3
Semiparametric dynamic max-copula model for multivariate time series 3
Optimal a priori balance in the design of controlled experiments 3
An omnibus non-parametric test of equality in distribution for unknown functions 3
Robust causal inference with continuous instruments using the local instrumental variable curve 3
Maximin projection learning for optimal treatment decision with heterogeneous individualized treatment effects 3
Auxiliary gradient-based sampling algorithms 3
Estimated Wold representation and spectral-density-driven bootstrap for time series 2
Characterization of c L- and phi(k)-optimal designs for a class of non-linear multiple-regression models 2
On cross-validation for sparse reduced rank regression 2
High dimensional linear discriminant analysis: optimality, adaptive algorithm and missing data 2
Asymptotic properties and information criteria for misspecified generalized linear mixed models 2
Expectation propagation in the large data limit 2
On structure testing for component covariance matrices of a high dimensional mixture 2
On the design of experiments with ordered treatments 2
A general framework for quantile estimation with incomplete data 2
Clustering functional data into groups by using projections 2
Hypoelliptic diffusions: filtering and inference from complete and partial observations 2