-
Marina Skyers, Lee J. Stanley, Springer Proceedings in Mathematics & Statistics, 388, Combinatorics, Graph Theory and Computing, 2022, 293
-
Christian Gourieroux, Yang Lu, Alain Monfort, “Ultra Long Run Term Structure Models”, SSRN Journal, 2022
-
Adrián González Casanova, Verónica Miró Pina, Arno Siri-Jégousse, “The symmetric coalescent and Wright–Fisher models with bottlenecks”, Ann. Appl. Probab., 32:1 (2022)
-
Miklós Csörgő, Donald A. Dawson, Bouchra R. Nasri, Bruno N. Rémillard, “A random walk through Canadian contributions on empirical processes and their applications in probability and statistics”, Can J Statistics, 50:4 (2022), 1116
-
Z. I. Ali, M. Sango, “Probabilistic Weak Solutions for Nonlinear Stochastic Evolution Problems Involving Pseudomonotone Operators”, Ukr Math J, 74:7 (2022), 997
-
А. А. Боровков, “О точных принципах больших уклонений для обобщенного процесса восстановления”, Теория вероятн. и ее примен., 66:2 (2021), 214–230
; A. A. Borovkov, “On exact large deviation principles for compound renewal processes”, Theory Probab. Appl., 66:2 (2021), 170–183
-
А. А. Могульский, “Расширенный принцип больших уклонений для траекторий обобщенного процесса восстановления”, Матем. тр., 24:1 (2021), 142–174
-
Cohen A., “On Singular Control Problems, the Time-Stretching Method, and the Weak-M1 Topology”, SIAM J. Control Optim., 59:1 (2021), 50–77
-
Jinlong Wei, Guangying Lv, “A Kolmogorov-type theorem for stochastic fields”, Stochastic Analysis and Applications, 39:6 (2021), 1009
-
Haifeng Fu, “On the existence of Pareto undominated mixed-strategy Nash equilibrium in normal-form games with infinite actions”, Economics Letters, 201 (2021), 109771
-
Xianming Liu, Guangyue Han, “A Wong-Zakai approximation of stochastic differential equations driven by a general semimartingale”, DCDS-B, 26:5 (2021), 2499
-
Xiaofeng Xue, “Moderate deviations of density-dependent Markov chains”, Stochastic Processes and their Applications, 140 (2021), 49
-
Rabi Bhattacharya, Edward C. Waymire, Graduate Texts in Mathematics, 292, Random Walk, Brownian Motion, and Martingales, 2021, 71
-
Manil T. Mohan, “Large deviation principle for stochastic convective Brinkman–Forchheimer equations perturbed by pure jump noise”, J. Evol. Equ., 21:4 (2021), 4931
-
Youri Davydov, Francesca Greselin, “Inferential Results for a New Inequality Curve”, Math. Meth. Stat., 30:1-2 (2021), 1
-
R. Vasudeva, “Functional L.I.L. for the Upper Extremes of i.i.d. Random Variarbles from a Sub-class of Heavy Tailed Distributions”, J Indian Soc Probab Stat, 22:2 (2021), 357
-
Zhidong Bai, Zhiqiang Hou, Jiang Hu, Dandan Jiang, Xiaozhuo Zhang, Contributions to Statistics, Methodology and Applications of Statistics, 2021, 213
-
Manil T. Mohan, “A central limit theorem and moderate deviation principle for the stochastic 2D Oldroyd model of order one”, Stoch PDE: Anal Comp, 9:2 (2021), 510
-
Manil T. Mohan, “Wentzell–Freidlin Large Deviation Principle for Stochastic Convective Brinkman–Forchheimer Equations”, J. Math. Fluid Mech., 23:3 (2021)
-
Valentina Castiglioni, Michele Loreti, Simone Tini, Lecture Notes in Computer Science, 12719, Formal Techniques for Distributed Objects, Components, and Systems, 2021, 60