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Krzysztof Szajowski

Researcher at Wrocław University of Technology

Publications -  99
Citations -  861

Krzysztof Szajowski is an academic researcher from Wrocław University of Technology. The author has contributed to research in topics: Optimal stopping & Markov process. The author has an hindex of 15, co-authored 96 publications receiving 812 citations. Previous affiliations of Krzysztof Szajowski include University of Wrocław & Purdue University.

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Book ChapterDOI

Discrete-time Markovian jump linear systems

TL;DR: In this article, it is shown that under appropriate mean square detectability and stability conditions the infinite horizon optimal control problem for the general case of Markovian jump linear quadratic systems has a unique solution when the control system is mean square stable.
Book ChapterDOI

Nonzero-sum Stochastic Games

TL;DR: In this article, a survey of stochastic Markov games with general state spaces is presented. But the authors focus on nonzero-sum games and provide a detailed survey of selected recent results.
Book

Advances in dynamic games : applications to economics, finance, optimization, and stochastic control

TL;DR: In this paper, the authors present an algorithm to solve the stopping game problem for dynamic Fuzzy games with a constant number of players and a fixed number of stopping rules, where the game is played over Event Trees.
Journal ArticleDOI

Inter-rater reliability of the Brief Psychiatric Rating Scale and the Groningen Social Disabilities Schedule in a European multi-site randomized controlled trial on the effectiveness of acute psychiatric day hospitals.

TL;DR: The inter‐rater reliability of the Brief Psychiatric Rating Scale (BPRS 4.0) and the Groningen Social Disabilities Schedule (GSDS‐II) as assessed in a randomized controlled trial on the effectiveness of psychiatric day hospitals spanning five sites in countries of Central and Western Europe is reported.
Journal ArticleDOI

Double optimal stopping of a risk process

TL;DR: In this article, the authors considered the problem of finding two optimal stopping times: the best moment of change the parameters and the moment of maximal value of the capital assets, and they used a dynamic programming method to calculate the expected capital at that times.