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Recent Developments in Applied Probability and Statistics : Dedicated to the Memory of Jürgen Lehn / edited by Luc Devroye, Bülent Karasözen, Michael Kohler, Ralf Korn

1st ed. 2010.
出版者 Heidelberg : Physica-Verlag HD : Imprint: Physica
出版年 2010
本文言語 英語
大きさ XII, 235 p : online resource
著者標目 Devroye, Luc editor
Karasözen, Bülent editor
Kohler, Michael editor
Korn, Ralf editor
SpringerLink (Online service)
件 名 LCSH:Probabilities
LCSH:Statistics 
LCSH:Computer science -- Mathematics  全ての件名で検索
LCSH:Mathematical statistics
FREE:Probability Theory
FREE:Statistical Theory and Methods
FREE:Probability and Statistics in Computer Science
一般注記 On Exact Simulation Algorithms for Some Distributions Related to Brownian Motion and Brownian Meanders -- A Review on Regression-based Monte Carlo Methods for Pricing American Options -- Binomial Trees in Option Pricing—History, Practical Applications and Recent Developments -- Uncertainty in Gaussian Process Interpolation -- On the Inversive Pseudorandom Number Generator -- Strong and Weak Approximation Methods for Stochastic Differential Equations—Some Recent Developments -- On Robust Gaussian Graphical Modeling -- Strong Laws of Large Numbers and Nonparametric Estimation -- Institute of Applied Mathematics at Middle East Technical University, Ankara (Panel Discussion Contribution) -- Financial Mathematics: Between Stochastic Differential Equations and Financial Crisis (Panel Discussion Contribution) -- Computational Science and Engineering Education Programs in Germany (Panel Discussion Contribution)
This book presents surveys on recent developments in applied probability and statistics. The contributions include topics such as nonparametric regression and density estimation, option pricing, probabilistic methods for multivariate interpolation, robust graphical modelling and stochastic differential equations. Due to its broad coverage of different topics the book offers an excellent overview of recent developments in applied probability and statistics
HTTP:URL=https://doi.org/10.1007/978-3-7908-2598-5
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Springer eBooks 9783790825985
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EB00232338

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データ種別 電子ブック
分 類 LCC:QA273.A1-274.9
DC23:519.2
書誌ID 4000120685
ISBN 9783790825985

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