Oblique derivative problems and invariant measures
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I. Capuzzo Dolcetta, M. G. Garroni (1986)
Annali della Scuola Normale Superiore di Pisa - Classe di Scienze
Guatteri, Giuseppina (2007)
Journal of Applied Mathematics and Stochastic Analysis
Makiko Nisio (1979)
Banach Center Publications
Giovanni Di Masi, Łukasz Stettner (1994)
Applicationes Mathematicae
A control problem for a partially observable Markov chain depending on a parameter with long run average cost is studied. Using uniform ergodicity arguments it is shown that, for values of the parameter varying in a compact set, it is possible to consider only a finite number of nearly optimal controls based on the values of actually computable approximate filters. This leads to an algorithm that guarantees nearly selfoptimizing properties without identifiability conditions. The algorithm is based...
Ewa Drabik, Łukasz Stettner (2000)
Applicationes Mathematicae
Two adaptive procedures for controlled Markov chains which are based on a nonparametric window estimation are shown.
Petr Mandl, Ma.Rosario Romera Ayllón (1987)
Kybernetika
G. B. Di Masi, Ł. Stettner (2006)
Banach Center Publications
Assuming that a Markov process satisfies the minorization property, existence and properties of the solutions to the additive and multiplicative Poisson equations are studied using splitting techniques. The problem is then extended to the study of risk sensitive and risk neutral control problems and corresponding Bellman equations.
van Huu Nguyen (1981)
Kybernetika
Alain Bensoussan, Jens Frehse (2001)
Mathematica Bohemica
Bellman systems corresponding to stochastic differential games arising from a cost functional which models risk aspects are considered. Here it leads to diagonal elliptic systems without zero order term so that no simple -estimate is available.
Petr Mandl, Ma.Rosario Romera Ayllón (1987)
Kybernetika
Łukasz Stettner (1983)
Studia Mathematica
Ewa Drabik (1996)
Applicationes Mathematicae
Two kinds of strategies for a multiarmed Markov bandit problem with controlled arms are considered: a strategy with forcing and a strategy with randomization. The choice of arm and control function in both cases is based on the current value of the average cost per unit time functional. Some simulation results are also presented.
Mokhtar Hafayed, Petr Veverka, Syed Abbas (2014)
Applications of Mathematics
We establish necessary and sufficient conditions of near-optimality for nonlinear systems governed by forward-backward stochastic differential equations with controlled jump processes (FBSDEJs in short). The set of controls under consideration is necessarily convex. The proof of our result is based on Ekeland's variational principle and continuity in some sense of the state and adjoint processes with respect to the control variable. We prove that under an additional hypothesis, the near-maximum...
Vladimír Kracík (1976)
Kybernetika
Dochviri, B. (1995)
Georgian Mathematical Journal
Michał Motoczyński, Łukasz Stettner (1998)
Applicationes Mathematicae
Option pricing in the multidimensional case, i.e. when the contingent claim paid at maturity depends on a number of risky assets, is considered. It is assumed that the prices of the risky assets are in discrete time subject to binomial disturbances. Two approaches to option pricing are studied: geometric and analytic. A numerical example is also given.
Roman Sadowy (2001)
Applicationes Mathematicae
Risk-sensitive control problem of regular step Markov processes is considered, firstly when the control parameters are changed at shift times and then in the general case.
Petr Mandl (1985)
Banach Center Publications
Pham, Huyên (2005)
Probability Surveys [electronic only]
Václav Peterka (1972)
Kybernetika
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