68 citations to https://www.mathnet.ru/rus/tvp1225
-
Zbigniew S. Szewczak, “Relative stability in strictly stationary random sequences”, Stochastic Processes and their Applications, 122:8 (2012), 2811
-
Haizhen Wu, Giorgi Kvizhinadze, “Martingale limit theorems of divisible statistics in a multinomial scheme with mixed frequencies”, Statistics & Probability Letters, 81:8 (2011), 1128
-
Э. А. Надарая, Г. А. Сохадзе, П. Бабилуа, “О некоторых критериях согласия, основанных на оценках плотности распределения типа ядра”, Теория вероятн. и ее примен., 54:2 (2009), 359–367 ; È. A. Nadaraya, G. A. Sokhadze, P. Babilua, “On some goodness-of-fit tests based on kernel density estimates”, Theory Probab. Appl., 54:2 (2010), 324–333
-
Peccati Giovanni, Murad Taqqu, “Stable convergence of generalized $L^2$ stochastic integrals and the principle of conditioning”, Electron. J. Probab., 12:none (2007)
-
Lijian Yang, “A semiparametric GARCH model for foreign exchange volatility”, Journal of Econometrics, 130:2 (2006), 365
-
Lan Xue, Lijian Yang, “Estimation of semi-parametric additive coefficient model”, Journal of Statistical Planning and Inference, 136:8 (2006), 2506
-
Lijian Yang, Byeong U. Park, Lan Xue, “Estimation and Testing for Varying Coefficients in Additive Models with Marginal Integration”, SSRN Journal, 2005
-
Wiley Series in Probability and Statistics, Counting Processes and Survival Analysis, 2005, 401
-
А. Г. Шоломицкий, “О необходимых условиях пуассоновской сходимости
мартингалов”, Теория вероятн. и ее примен., 49:4 (2004), 813–816 ; A. G. Sholomitskii, “On the necessary conditions of Poisson convergence
for martingales”, Theory Probab. Appl., 49:4 (2005), 735–737
-
Р. М. Абсава, “О предельном распределении квадратического уклонения широкого класса оценок функциональных характеристик закона распределения наблюдений”, УМН, 56:5(341) (2001), 175–176 ; R. M. Absava, “On the limit distribution of the quadratic deviation for a broad class of estimators of functional characteristics of the distribution law of observations”, Russian Math. Surveys, 56:5 (2001), 973–975