Abstract:
This work is a survey of existing methods and results in the problem of estimating the mathematical expectation of the maximum of a random process up to an arbitrary Markov time. Both continuous-time (standard Brownian motion, skew Brownian motion, Bessel processes) and discrete-time (symmetric Bernoulli random walk and its modulus) processes are considered.
This work was supported by the International Laboratory of Quantitative Finance, National Research University Higher School of Economics (contract no. 14.A12.31.0007 with the Ministry of Education and Science of the Russian Federation), and by the Russian Foundation for Basic Research (project no. 14-01-00739).
Citation:
Ya. A. Lyulko, A. N. Shiryaev, “Sharp maximal inequalities for stochastic processes”, Stochastic calculus, martingales, and their applications, Collected papers. Dedicated to Academician Albert Nikolaevich Shiryaev on the occasion of his 80th birthday, Trudy Mat. Inst. Steklova, 287, MAIK Nauka/Interperiodica, Moscow, 2014, 162–181; Proc. Steklov Inst. Math., 287:1 (2014), 155–173