Zhongzhi Wang

Professor

Department of Applied Mathematics

School of Microelectronics &Data Science

Anhui University of Technology

 

Research Interests

l Limit theory in probability, Strong deviation theorem;

l Shannon entropy theory;

l Portfolio theory.

 

Teaching Courses

l Advanced Mathematics, Real Analysis, Probability, Statistics, Linear Algebra, Mathematical Analysis, Information Theory, Martingale Theory, Random Processes

 

Selected Publications

代表性论文

[1]P. Hu, M.-R. Chen, S. Chen and Z.-Z. Wang, On strong deviation theorems concerning array of dependent random sequence, Comm. Statist. Theory Methods,         

DOI：10.1080/03610926.2021.1967396

[2] Z.-Y. Shi, Z.-Z. Wang, P.-P. Zhong and Y. Fan，The generalized entropy ergodic theorem for nonhomogeneous bifurcating Markov chains Indexed by a binary tree, J. Theor. Probab., DOI：10.1007/s10959-021-01117-1

[3]F.-Q. Ding, J. Song and Z.-Z. Wang, Some deviation theorems for arrays of arbitrarily dependent stochastic sequence, Comm. Statist. Theory Methods, 50(20): 4692-4702, 2021

[4] Z.-Z. Wang, W.- G. Yang, Markov Approximation and the generalized entropy ergodic theorem for non-null stationary process, Proc. Indian Acad. Sci. Math. Sci., 130(1), 2020

[5] Z.-Z. Wang, S.-S. Yang, H.-F. Jiang, and F.-Q. Ding,On strong limit theorems for general information sources with an application to AEP, Comm. Statist. Theory Methods, 2019, 1-13        

[6]W.-X. Li, Z.-Z. Wang, A note on Renyis entropy rate for time-inhomogeneous Markov chains, Probab. Engrg. Inform. Sci., 2019,33:579-590. 

[7] Z.-Z. Wang，Dong Y., Ding F.Q.，On almost sure convergence for sums of stochastic sequence, Comm. Statist. Theory Methods, 2019,48(14): 3609–3621.

[8] Z.-Z. Wang, Some Limit Theorems of Delayed Sums for Rowwise Conditionally Independent Stochastic Arrays, Comm. Statist. Theory Methods, 46(11): 5265-5272,2017.

[9] Z.-Z. Wang, A Kind of Asymptotic Properties of Moving Averages for Markov Chains in Markovian Environments, Comm. Statist. Theory Methods, 46(22): 10926-10942,2017.

[10] Z.-Z. Wang and W.-G. Yang，The generalized entropy ergodic theorem for nonhomogeneous Markov chains, J. Theor. Probab., 29:761-775, 2016.       

[11] Z.-Z. Wang and W.-G. Yang, A note on strong law of large numbers for dependent random sequence, Math. Inequal. Appl., 17(4):1321-1326,2014.   

[12] Z.-Z. Wang, W.-B. Chen, Limiting behavior of generalized delayed average of random sequence, Math. Slovaca, 64(4):1041-1050,2014.    

[13] Z.-Z. Wang, On strong limit theorems concerning delayed sums of a random sequence, Acta Math. Hungar., 141(4): 329-338, 2013.     

[14] Z.-Z. Wang，W.-G．Yang and Z．-Y． Shi，Some generalized limit theorems concerning delayed sums of random sequence，Appl. Math. J. Chinese Univ. Ser. B, 28(1): 40-48, 2013.   

[15]A.-H. Fan and Z.-Z. Wang, On almost sure limiting behavior of dependent random sequence, J. Inequal. Appl. 25, 2013

[16]W.-L. Xu and Z.-Z. Wang, On strong law for blockwiseM-orthogonal random fields, J. Inequal. Appl. 380, 2013

[17] Z.-Z. Wang and W.- G. Yang, Some Limit Theorems for Delayed Sums of Dependent Random Sequence, Mediterr. J. Math., 9(4): 645-654, 2012.     

[18] Z.-Z. Wang, On Strong Law of Large Numbers for Dependent Random Variables, J. Inequal. Appl., 2011, doi: 10.1155/2011/279754.    

[19] Z.-Z. Wang, On strong limit theorem for sums of stochastic sequence, J. Appl. Prob. & Statist., 4(1): 93-98, 2009.

[20] A.-H. Fan, Z.-Z. Wang and F.-Q. Ding, Some limit theorems of runs to the continuous-valued sequence, Kybernetes, 37(9): 1279-1286, 2008

[21] Z.-Z. Wang and K.-Y. Ding, Almost sure behavior of discrete random sequence with application to arbitrary information sources, Appl. Math. Inform. Sci., 2(3): 333-343, 2008

[22] Z.-Z. Wang, some strong deviation theorems and limit properties for continuous information source, Southeast Asian Bull.Math., 30: 1157-1167, 2006.

[23] Z.-Z. Wang, A class of random deviation theorems for sums of nonnegative stochastic sequence and strong law of large numbers, Statist. Prob. Letters, 76: 2017-2016, 2006.

[24] W. Liu and Z.-Z. Wang, A strong limit theorem on random selection for countable nonhomogeneous Markov chains, Chinese J. Math., 24(2): 187-197, 1996.

[25] W. Liu and Z.-Z. Wang, An extension of a theorem on gambling systems to arbitrary random variables, Statist. Prob. Letters, 28: 51-58, 1996.

[26] W. Liu and Z.-Z. Wang, An extension of a theorem on gambling systems , J. Multivariate Anal., 55: 125-132, 1995.