Forthcoming AISM Papers

The papers listed below have been accepted for publication in future issues of Ann. Inst. Statist. Math. Please note that this is a preliminary publication list and is subject to change.

Last Updated: (The following data is updated monthly)
Ordered by accepted date
Compound empirical Bayes interval estimation
.......... Wenhua Jiang and Cun-Hui Zhang
Simplified quasi-likelihood analysis for a locally asymptotically quadratic random field
.......... Nakahiro Yoshida
Estimation of value-at-risk by Lp quantile regression
.......... Peng Sun, Fuming Lin, Haiyang Xu and Kaizhi Yu
Hidden AR process and adaptive Kalman filter
.......... Yury A. Kutoyants
Improved confidence intervals for nonlinear mixed-effects and nonparametric regression models
.......... Nan Zheng and Noel Cadigan
Information projection approach to smoothed propensity score weighting for handling selection bias under missing at random
.......... Hengfang Wang and Jae Kwang Kim
Model free feature screening for large scale and ultrahigh dimensional survival data
.......... Yingli Pan, Haoyu Wang and Zhan Liu
Confidence bounds for the true discovery proportion based on the exact distribution of the number of rejections
.......... Friederike Preusse, Anna Vesely and Thorsten Dickhaus
Comparison and equality of generalized ψ-estimators
.......... Matyas Barczy and Zsolt Páles
Large-sample properties of multiple imputation estimators for parameters of logistic regression with covariates missing at random separately or simultaneously
.......... Phuoc-Loc Tran, Shen-Ming Lee, Truong-Nhat Le and Chin-Shang Li
Random mixture Cox point processes
.......... Athanasios Micheas