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Introduction to Stopping Time in Stochastic Finance Theory. Part II

   | Mar 28, 2018

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[1] Grzegorz Bancerek, Czesław Bylinski, Adam Grabowski, Artur Korniłowicz, Roman Matuszewski, Adam Naumowicz, Karol Pak, and Josef Urban. Mizar: State-of-the-art and beyond. In Manfred Kerber, Jacques Carette, Cezary Kaliszyk, Florian Rabe, and Volker Sorge, editors, Intelligent Computer Mathematics, volume 9150 of Lecture Notes in Computer Science, pages 261-279. Springer International Publishing, 2015. ISBN 978-3-319-20614-1. doi: 10.1007/978-3-319-20615-8 17.10.1007/978-3-319-20615-817Open DOISearch in Google Scholar

[2] Hans Föllmer and Alexander Schied. Stochastic Finance: An Introduction in Discrete Time, volume 27 of Studies in Mathematics. de Gruyter, Berlin, 2nd edition, 2004.10.1515/9783110212075Search in Google Scholar

[3] Hans-Otto Georgii. Stochastik, Einführung in die Wahrscheinlichkeitstheorie und Statistik. deGruyter, Berlin, 2nd edition, 2004.Search in Google Scholar

[4] Adam Grabowski, Artur Korniłowicz, and Adam Naumowicz. Four decades of Mizar. Journal of Automated Reasoning, 55(3):191-198, 2015. doi: 10.1007/s10817-015-9345-1.10.1007/s10817-015-9345-1Open DOISearch in Google Scholar

[5] Peter Jaeger. Introduction to stopping time in stochastic finance theory. Formalized Mathematics, 25(2):101-105, 2017. doi: 10.1515/forma-2017-0010.10.1515/forma-2017-0010Open DOISearch in Google Scholar

[6] Achim Klenke. Wahrscheinlichkeitstheorie. Springer-Verlag, Berlin, Heidelberg, 2006.Search in Google Scholar

[7] Andrzej Nedzusiak. -fields and probability. Formalized Mathematics, 1(2):401-407, 1990.Search in Google Scholar

eISSN:
1898-9934
ISSN:
1426-2630
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, other, Mathematics, General Mathematics