Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Meester, Ludolf E."'
Autor:
Meester, Ludolf E.
In this paper it is shown that adaptive importance sampling algorithms converge at exponential rate for Markov chain expectation problems that admit a combination of a filtered estimator and a Markov zero-variance measure. It extends a chain of resul
Externí odkaz:
http://arxiv.org/abs/1806.03029
Autor:
Meester, Ludolf E.
Two old conjectures from problem sections, one of which from SIAM Review, concern the question of finding distributions that maximize P(Sn <= t), where Sn is the sum of i.i.d. random variables X1, ..., Xn on the interval [0,1], satisfying E[X1]=m. In
Externí odkaz:
http://arxiv.org/abs/0808.1669
Publikováno v:
Mathematics of Operations Research, 1999 May 01. 24(2), 472-494.
Externí odkaz:
https://www.jstor.org/stable/3690493
Publikováno v:
Journal of Applied Probability, 1997 Sep 01. 34(3), 818-822.
Externí odkaz:
https://www.jstor.org/stable/3215109
Publikováno v:
Advances in Applied Probability, 1990 Sep 01. 22(3), 764-767.
Externí odkaz:
https://www.jstor.org/stable/1427472
Autor:
Meester, Ludolf E., Muns, Sander
Publikováno v:
In Transportation Research Part B 2007 41(2):218-230
Publikováno v:
Probability in the Engineering & Informational Sciences; Jul1993, Vol. 7 Issue 3, p343-360, 18p
Publikováno v:
In Stochastic Processes and their Applications 1996 65(2):171-185
Autor:
Hangfei Huang, Keping Li
Publikováno v:
Engineering Optimization; Dec2017, Vol. 49 Issue 12, p2133-2149, 17p
Autor:
David E. McNabb
Thoroughly updated, more concise than the previous edition, and available for the first time in paperback,'Research Methods for Political Science'is designed to help students learn what to research, why to research, and how to research. The text inte