Journal of the Royal Statistical Society - Series B

Volume 81, n° 5, November 2019

  • BASSETT R., SHARPNACZ J. - Fused density estimation: theory and methods, pp. 839–860.
  • ESCOBAR‐BACH M., KEILEGOM I.V. - Non-parametric cure rate estimation under insufficient follow-up by using extremes, pp. 861–880.
  • FÚQUENE J., STEEL M., ROSSELL D. - On choosing mixture components via non-local priors, pp. 809–837.
  • GREENEWALD K., ZHOU S., HERO A. - Tensor graphical lasso (TeraLasso), pp. 901–931.
  • SINGH S.P., DAVIDOV O. - On the design of experiments with ordered treatments, pp. 881–900.
( résumés du n° 5/2019)

Volume 81, n° 4, September 2019

  • CAI T.T., ZHANG L. - High dimensional linear discriminant analysis: optimality, adaptive algorithm and missing data, pp. 675–705.
  • CHOWN J., MÜLLER U.U. - Corrigendum: Detecting heteroscedasticity in non-parametric regression using weighted empirical processes, pp. 805–806.
  • KOWAL D.R., MATTESON D.S., RUPPERT D. - Dynamic shrinkage processes, pp. 781–804.
  • XIANG D., ZHAO S.D., CAI T.T. - Signal classification for the integrative analysis of multiple sequences of large-scale multiple tests, pp. 707–734.
  • ZHANG X., MA Y., CARROLL R.J. - MALMEM: model averaging in linear measurement error models, pp. 763–779.
  • ZHAO Q., SMALL D.S., BHATTACHACHARYA B.B. - Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap, pp. 735–761.

(résumés du n° 4/2019)

Volume 81, n° 3, July 2019

  • Baranowski, R., Chen, Y., & Fryzlewicz, P. - Narrowest-over-threshold detection of multiple change points and change-point-like features, pp. 649–672.
  • Bhattacharya, B.B. - A general asymptotic framework for distribution-free graph-based two-sample tests, pp. 575–602.
  • Dong, C., Li, G., & Feng, X. - Lack-of-fit tests for quantile regression models, pp. 629–648.
  • Frot, B., Nandy, P., & Maathuis, M.H. - Robust causal structure learning with some hidden variables, pp. 459–487.
  • Heller, R., Meir, A., & Chatterjee, N. - Post-selection estimation and testing following aggregate association tests, pp. 547–573.
  • Niu, M., Cheung, P., Lin, L., Dai, Z., Lawrence, N., & Dunson, D. - Intrinsic Gaussian processes on complex constrained domains, pp. 603–627.
  • Plumlee, M. - Computer model calibration with confidence and consistency, pp. 519–545.
  • Zanella, G. & Roberts, G. - Scalable importance tempering and Bayesian variable selection, pp. 489–517.

(résumés du n° 3/2019)

Volume 81, n° 2, April 2019

  • CAI T. Tony, SUN Wenguang, WANG Weinan - Covariate‐assisted ranking and screening for large‐scale two‐sample inference, pp. 187-234
  • BERNTON Espen, JACOB Pierre E., GERBER Mathieu, ROBERT Christian P. - Approximate Bayesian computation with the Wasserstein distance, pp. 235-269
  • DELAIGLE Aurore, HALL Peter, PHAM Tung - Clustering functional data into groups by using projections, pp. 271-304
  • HAN Peisong, KONG Linglong, ZHAO Jiwei, ZHOU Xingcai - A general framework for quantile estimation with incomplete data, pp. 305-333
  • GODOLPHIN J. D. - Construction of row–column factorial designs, pp. 335-360
  • DITLEVSEN Susanne, SAMSON Adeline - Hypoelliptic diffusions: filtering and inference from complete and partial observations, pp. 361-384
  • ZHAO Junlong, LIU Chao, NIU Lu, LENG Chenlei - Multiple influential point detection in high dimensional regression spaces, pp. 385-408
  • PIAO Jin, NING Jing, SHEN Yu - Semiparametric model for bivariate survival data subject to biased sampling, pp. 409-429
  • LIANG Tengyuan, SU Weijie J. - Statistical inference for the population landscape via moment‐adjusted stochastic gradients, pp. 431-456
( résumés du n° 2/2019)

Volume 81, n° 1, February 2019

  • BORNN Luke, SHEPHARD Neil, SOLGI Reza - Moment conditions and Bayesian non‐parametrics, pp. 5-43
  • LI Ang, BARBER Rina Foygel - Multiple testing with the structure‐adaptive Benjamini–Hochberg algorithm, pp. 45-74
  • LUEDTKE Alex, CARONE Marco, VAN DER LAAN Mark J. - An omnibus non‐parametric test of equality in distribution for unknown functions, pp. 75-99
  • SCHMIDT Dennis - Characterization of c‐, L‐ and ϕk‐optimal designs for a class of non‐linear multiple‐regression models, pp. 101-120
  • KENNEDY Edward H., LORCH Scott, SMALL Dylan S. - Robust causal inference with continuous instruments using the local instrumental variable curve, pp. 121-143
  • SHE Yiyuan, TRAN Hoang - On cross‐validation for sparse reduced rank regression, pp. 145-161
  • DOBRIBAN Edgar, OWEN Art B. - Deterministic parallel analysis: an improved method for selecting factors and principal components, pp. 163-183

(résumés du n° 1/2019)
   

   

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