Karnaukh, E. V. Overshoot functionals for almost semicontinuous processes defined on a Markov chain. (Ukrainian, English) Zbl 1199.60163 Teor. Jmovirn. Mat. Stat. 76, 45-52 (2007); translation in Theory Probab. Math. Stat. 76, 49-57 (2008). The distributions of extremal values and over-jump functionals for semicontinuous processes (that is, for those processes that cross either a positive or a negative barrier in a continuous way) defined on a Markov chain are considered by many authors (see, for example, S. Asmussen [Ruin probabilities, Singapore: World Scientific (1997; Zbl 0960.60003)], D.V. Gusak [Boundary value problems for processes with independent increments in risk theory, Kyïv: Instytut Matematyky NAN Ukraïny (2007; Zbl 1199.60001)] and D. Gusak [Theory Stoch. Process. 7(23), No. 1–2, 109–120 (2001; Zbl 0977.60059)]). The distributions of extremal values are considered in the paper [D. V. Gusak and E. V. Karnaukh, Theory Stoch. Process. 11, No. 27, Part 1–2, 40–47 (2005; Zbl 1142.60343)] for almost semicontinuous processes (that is, for those processes that cross either a positive or a negative barrier by means of exponential jumps only). Under some assumptions these processes can be considered as surplus risk processes with random premiums in a Markov environment. The distributions of some over-jump functionals are studied in this paper for lower almost semicontinuous processes defined on a Markov chain. Reviewer: Mikhail P. Moklyachuk (Kyïv) Cited in 1 Document MSC: 60G50 Sums of independent random variables; random walks 60J70 Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) 60K10 Applications of renewal theory (reliability, demand theory, etc.) 60K15 Markov renewal processes, semi-Markov processes Keywords:semicontinuous process; over-jump functional; Markov chain Citations:Zbl 0960.60003; Zbl 0977.60059; Zbl 1142.60343; Zbl 1199.60001 PDFBibTeX XMLCite \textit{E. V. Karnaukh}, Teor. Ĭmovirn. Mat. Stat. 76, 45--52 (2007; Zbl 1199.60163); translation in Theory Probab. Math. Stat. 76, 49--57 (2008) Full Text: arXiv Link