Andrei Volodin

Professor
Co-op Work/Study Coordinator

Office: CW 307.27
E-mail: Andrei.Volodin@uregina.ca
Phone: 306-585-4771
Website: http://uregina.ca/~volodin/

Current classes
Stat 351 Intermediate Probability, Stat 451 Advanced Probability, Stat 495 Directed Reading in Statistics, Stat 851 Probability, Stat 890AD Analysis of Longitudinal Data

Research interests
Statistical inference, limit theorems, distributions on abstract spaces, bootstrap

Recent Publications

1) Shen, Aiting; Zhang, Yu; Volodin, Andrei.  Strong convergence properties for arrays of rowwise negatively orthant dependent random variables.  Math. Slovaca, 67 (2017), no. 1, 235–244.

2) Nam, Trinh Hoai; Hu, Tien-Chung; Volodin, Andrei.  Maximal inequalities and strong law of large numbers for sequences of m-asymptotically almost negatively associated random variables.  Comm. Statist. Theory Methods, 46 (2017), no. 6, 2696–2707.

3) Hu, T.-C.; Sung, S. H.; Volodin, A.  A note on the strong laws of large numbers for random variables.  Acta Math. Hungar., 150 (2016), no. 2, 412–422.

4) Shen, Aiting; Zhang; Volodin, Andrei.  On the rate of convergence in the strong law of large numbers for negatively orthant-dependent random variables.  Communications in Statistics. Theory and Methods, 45 (2016), 6209-6222.

5) Ngamkham, T.; Volodin, A.; Volodin, I.  Confidence intervals for a ratio of binomial proportions based on direct and inverse sampling schemes.  Lobachevskii Journal of Mathematics, 37 (2016), no. 4, 466-496.

6) Wang, Xuejun; Hu, Shuhe; Volodin, Andrei.  General results of complete convergence and complete moment convergence for weighted sums of some class of random variables.  Communications in Statistics. Theory and Methods, 45 (2016), 4494-4508.

7) Zhang, Guohui; Urmeneta, Henar; Volodin, Andrei.  Wittmann type strong laws of large numbers for blockwise m-negatively associated random variables.  J. Math. Res. Appl., 36 (2016), no. 2, 239-246.

8) Wu, Yongfeng; Volodin, Andrei.  Complete moment convergence of weighted sums for arrays of negatively dependent random variables and its applications.  Comm. Statist. Theory Methods, 45 (2016), no. 11, 3185-3195.

9) Shen, Aiting; Xue, Mingxiang; Volodin, Andrei.  Complete moment convergence for arrays of rowwise NSD random variables.  Stochastics, 88 (2016), no. 4, 606-621.

10) Shen, Aiting; Yao, Mei; Wang, Wenjuan; Volodin, Andrei.  Exponential probability inequalities for WNOD random variables and their applications.  Rev. R. Acad. Cienc. Exactas Fís. Nat. Ser. A Math. RACSAM, 110 (2016), no. 1, 251-268.