Modeling Uncertainty

Dror, Moshe; L’Ecuyer, Pierre; Szidarovszky, Ferenc

Modeling Uncertainty

Edited by Moshe Dror, Pierre L’Ecuyer and Ferenc Szidarovszky

in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier

Date: 2002
ISBN: 978-0-306-48102-4
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Chapters in this book:

Professor Sidney J. Yakowitz: D. S. Yakowitz
Stability of Single Class Queueing Networks: Harold J. Kushner
Sequential Optimization Under Uncertainty: Tze Leung Lai
Exact Asymptotics for Large Deviation Probabilities, with Applications: Iosif Pinelis
Stochastic Modelling of Early HIV Immune Responses Under Treatment by Protease Inhibitors: Wai-Yuan Tan and Zhihua Xiang
The Impact of Re-Using Hypodermic Needles: B. Barnes and J. Gani
Nonparametric Frequency Detection and Optimal Coding in Molecular Biology: David S. Stoffer
An Efficient Stochastic Approximation Algorithm for Stochastic Saddle Point Problems: Arkadi Nemirovski and Reuven Y. Rubinstein
Regression Models for Binary Time Series: Benjamin Kedem and Konstantinos Fokianos
Almost Sure Convergence Properties of Nadaraya-Watson Regression Estimates: Harro Walk
Strategies for Sequential Prediction of Stationary Time Series: László Gyöfi and Gábor Lugosi
The Birth of Limit Cycles in Nonlinear Oligopolies with Continuously Distributed Information Lags: Carl Chiarella and Ferenc Szidarovszky
A Differential Game of Debt Contract Valuation: A. Haurie and F. Moresino
Huge Capacity Planning and Resource Pricing for Pioneering Projects: David Porter
Affordable Upgrades of Complex Systems: A Multilevel, Performance-Based Approach: James A. Reneke, Matthew J. Saltzman and Margaret M. Wiecek
On Successive Approximation of Optimal Control of Stochastic Dynamic Systems: Fei-Yue Wang and George N. Saridis
Stability of Random Iterative Mappings: László Gerencsér
‘Unobserved’ Monte Carlo Methods for Adaptive Algorithms: Victor Solo
Random Search Under Additive Noise: Luc Devroye and Adam Krzyzak
Recent Advances in Randomized Quasi-Monte Carlo Methods: Pierre L’Ecuyer and Christiane Lemieux
Singularly Perturbed Markov Chains and Applications to Large-Scale Systems under Uncertainty: G. Yin, Q. Zhang, K. Yin and Hai Yang
Risk-Sensitive Optimal Control in Communicating Average Markov Decision Chains: Rolando Cavazos-Cadena and Emmanuel Fernández-Gaucherand
Some Aspects of Statistical Inference in a Markovian and Mixing Framework: George G. Roussas
Stochastic Ordering of Order Statistics II: Philip J. Boland, Taizhong Hu, Moshe Shaked and J. George Shanthikumar
Vehicle Routing with Stochastic Demands: Models & Computational Methods: Moshe Dror
Life in the Fast Lane: Yates’s Alogrithm, Fast Fourier and Walsh Transforms: Paul J. Sanchez, John S. Ramberg and Larry Head
Uncertainty Bounds in Parameter Estimation with Limited Data: James C. Spall
A Tutorial on Hierarchical Lossless Data Compression: John C. Kieffer
Eureka! Bellman’s Principle of Optimality is Valid!: Moshe Sniedovich
Reflections on Statistical Methods or Complex Stochastic Systems: Marcel F. Neuts

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DOI: 10.1007/b106473

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