Kharin Yurii Semenovich

Publications in Math-Net.Ru

1. On statistical testing of composite hypotheses on $s$-dimensional uniform probability distribution of binary sequences
   
   Diskr. Mat., 36:1 (2024),  116–135
2. On the approximation of high-order binary Markov chains by parsimonious models
   
   Diskr. Mat., 34:3 (2022),  114–135
3. Statistical forecasting of the dynamics of epidemiological indicators for COVID-19 incidence in the republic of belarus
   
   Journal of the Belarusian State University. Mathematics and Informatics, 3 (2020),  36–50
4. Semibinomial conditionally nonlinear autoregressive models of discrete random sequences: probabilistic properties and statistical parameter estimation
   
   Diskr. Mat., 31:1 (2019),  72–98
5. V. I . Yanchevskii is 70
   
   Algebra Discrete Math., 26:1 (2018),  C–F
6. Asymptotic analysis of statistical estimators of parameters for binomial conditionally autoregressive model of spatio-temporal data
   
   Journal of the Belarusian State University. Mathematics and Informatics, 2 (2018),  47–57
7. Binomial conditionally nonlinear autoregressive model of discrete time series and its probabilistic and statistical properties
   
   Tr. Inst. Mat., 26:1 (2018),  95–105
8. Statistical hypotheses testing for parameters of binomial conditionally autoregressive model of spatio-temporal data
   
   Journal of the Belarusian State University. Mathematics and Informatics, 1 (2017),  16–22
9. Parsimonious models of high-order Markov chains for evaluation of cryptographic generators
   
   Mat. Vopr. Kriptogr., 7:2 (2016),  131–142
10. Detection of embeddings in binary Markov chains
    
    Diskr. Mat., 27:3 (2015),  123–144
11. Statistical estimation of parameters for binary Markov chain models with embeddings
    
    Diskr. Mat., 25:2 (2013),  135–148
12. Identification of a binary Markov chain of order $s$ with $r$ partial connections subjected to additive distortions
    
    Diskr. Mat., 22:4 (2010),  138–155
13. A Markov chain of order $s$ with $r$ partial connections and statistical inference on its parameters
    
    Diskr. Mat., 19:2 (2007),  109–130
14. Robust Regressive Forecasting under Functional Distortions in a Model
    
    Avtomat. i Telemekh., 2002, no. 11,  118–137
15. Detection of multiple “disorders” and classification of time series by statistical estimates of interclass distances
    
    Avtomat. i Telemekh., 1991, no. 12,  76–84
16. Optimality of classification of random observations differing in their regression equations
    
    Avtomat. i Telemekh., 1986, no. 7,  61–69
17. Classification of Random Series of Unknown Length
    
    Probl. Peredachi Inf., 21:4 (1985),  64–75
18. On stability of decision rules in the presence of errors in classification of the learning sample
    
    Avtomat. i Telemekh., 1983, no. 11,  100–110
19. Investigation and optimisation of Rosenblatt–Parsen classifier with the aid of asymptotic expansions
    
    Avtomat. i Telemekh., 1983, no. 1,  91–100
20. Investigation of risk for statistical classifiers using minimum contrast estimators
    
    Teor. Veroyatnost. i Primenen., 28:3 (1983),  592–598
21. Stability of decision rules in pattern recognition problems
    
    Avtomat. i Telemekh., 1982, no. 11,  115–123


22. Member of the National Academy of Sciences of Belarus V.I. Yanchevskii. Towards the 70th birthday
    
    Tr. Inst. Mat., 26:1 (2018),  6–8