1. Hierarchical correction of p-values via an ultrametric tree running Ornstein-Uhlenbeck process

   • Antoine Bichat
   • Christophe Ambroise
   • Mahendra Mariadassou

   Original paper Open access 12 September 2021 Pages: 995 - 1013

   

2. Kolmogorov–Smirnov simultaneous confidence bands for time series distribution function

   • Jie Li
   • Jiangyan Wang
   • Lijian Yang

   Original paper 18 September 2021 Pages: 1015 - 1039

   

3. Laplace regression with clustered censored data

   • Akram Yazdani
   • Hojjat Zeraati
   • Ahmad Kaviani

   Original paper 30 September 2021 Pages: 1041 - 1068

   

4. The modified maximum likelihood estimators for the parameters of the regression model under bivariate median ranked set sampling

   • Hakan Savaş Sazak
   • Melis Zeybek

   Original paper 27 September 2021 Pages: 1069 - 1109

   

5. Covariance matrix testing in high dimension using random projections

   • Deepak Nag Ayyala
   • Santu Ghosh
   • Daniel F. Linder

   Original paper 06 November 2021 Pages: 1111 - 1141

   

6. Statistical inference in massive datasets by empirical likelihood

   • Xuejun Ma
   • Shaochen Wang
   • Wang Zhou

   Original paper 24 November 2021 Pages: 1143 - 1164

7. On community structure validation in real networks

   • Mirko Signorelli
   • Luisa Cutillo

   Original paper Open access 04 October 2021 Pages: 1165 - 1183

   

8. A new estimation for INAR(1) process with Poisson distribution

   • Feilong Lu
   • Dehui Wang

   Original paper 28 September 2021 Pages: 1185 - 1201

   

9. Dynamic sampling from a discrete probability distribution with a known distribution of rates

   • Federico D’Ambrosio
   • Hans L. Bodlaender
   • Gerard T. Barkema

   Original paper Open access 09 October 2021 Pages: 1203 - 1228

   

10. Smallest covering regions and highest density regions for discrete distributions

    • Ben O’Neill

    Original paper Open access 04 April 2022 Pages: 1229 - 1254

    

11. Characterizations and generalizations of the negative binomial distribution

    • Katiane S. Conceição
    • Marinho G. Andrade
    • Nalini Ravishanker

    Original paper 17 September 2021 Pages: 1255 - 1286

    

12. Objective Bayesian group variable selection for linear model

    • Sang Gil Kang
    • Woo Dong Lee
    • Yongku Kim

    Original paper 30 September 2021 Pages: 1287 - 1310

13. A Bayesian approach to the analysis of asymmetric association for two-way contingency tables

    • Zheng Wei
    • Daeyoung Kim
    • Erin M. Conlon

    Original paper 25 October 2021 Pages: 1311 - 1338

    

14. Bayesian variable selection and estimation in quantile regression using a quantile-specific prior

    • Mai Dao
    • Min Wang
    • Keying Ye

    Original paper 19 January 2022 Pages: 1339 - 1368

    

15. New approximate Bayesian computation algorithm for censored data

    • Kristin McCullough
    • Tatiana Dmitrieva
    • Nader Ebrahimi

    Original paper 15 November 2021 Pages: 1369 - 1397

    

16. Bayesian analysis of mixture autoregressive models covering the complete parameter space

    • Davide Ravagli
    • Georgi N. Boshnakov

    Original paper Open access 01 November 2021 Pages: 1399 - 1433

    

17. Hierarchical and multivariate regression models to fit correlated asymmetric positive continuous outcomes

    • Lizandra C. Fabio
    • Francisco J. A. Cysneiros
    • Jalmar M. F. Carrasco

    Original paper 18 October 2021 Pages: 1435 - 1459

    

18. Applying the rescaling bootstrap under imputation for a multistage sampling design

    • Christian Bruch

    Original paper Open access 18 November 2021 Pages: 1461 - 1494

    

19. Robust estimation of the number of factors for the pair-elliptical factor models

    • Shuquan Yang
    • Nengxiang Ling
    • Yulin Gong

    Original paper 13 November 2021 Pages: 1495 - 1522

    

20. A sequential test and a sequential sampling plan based on the process capability index C_pmk

    • Michele Scagliarini

    Original paper 20 November 2021 Pages: 1523 - 1550