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Modeling Uncertainty : An Examination of Stochastic Theory, Methods, and Applications

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Cover of 'Modeling Uncertainty : An Examination of Stochastic Theory, Methods, and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Professor Sidney J. Yakowitz
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    Chapter 2 Stability of Single Class Queueing Networks
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    Chapter 3 Sequential Optimization Under Uncertainty
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    Chapter 4 Exact Asymptotics for Large Deviation Probabilities, with Applications
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    Chapter 5 Stochastic Modelling of Early HIV Immune Responses Under Treatment by Protease Inhibitors
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    Chapter 6 The Impact of Re-Using Hypodermic Needles
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    Chapter 7 Nonparametric Frequency Detection and Optimal Coding in Molecular Biology
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    Chapter 8 An Efficient Stochastic Approximation Algorithm for Stochastic Saddle Point Problems
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    Chapter 9 Regression Models for Binary Time Series
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    Chapter 10 Almost Sure Convergence Properties of Nadaraya-Watson Regression Estimates
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    Chapter 11 Strategies for Sequential Prediction of Stationary Time Series
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    Chapter 12 The Birth of Limit Cycles in Nonlinear Oligopolies with Continuously Distributed Information Lags
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    Chapter 13 A Differential Game of Debt Contract Valuation
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    Chapter 14 Huge Capacity Planning and Resource Pricing for Pioneering Projects
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    Chapter 15 Affordable Upgrades of Complex Systems: A Multilevel, Performance-Based Approach
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    Chapter 16 On Successive Approximation of Optimal Control of Stochastic Dynamic Systems
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    Chapter 17 Stability of Random Iterative Mappings
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    Chapter 18 ‘Unobserved’ Monte Carlo Methods for Adaptive Algorithms
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    Chapter 19 Random Search Under Additive Noise
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    Chapter 20 Recent Advances in Randomized Quasi-Monte Carlo Methods
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    Chapter 21 Singularly Perturbed Markov Chains and Applications to Large-Scale Systems under Uncertainty
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    Chapter 22 Risk-Sensitive Optimal Control in Communicating Average Markov Decision Chains
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    Chapter 23 Some Aspects of Statistical Inference in a Markovian and Mixing Framework
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    Chapter 24 Stochastic Ordering of Order Statistics II
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    Chapter 25 Vehicle Routing with Stochastic Demands: Models & Computational Methods
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    Chapter 26 Life in the Fast Lane: Yates’s Alogrithm, Fast Fourier and Walsh Transforms
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    Chapter 27 Uncertainty Bounds in Parameter Estimation with Limited Data
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    Chapter 28 A Tutorial on Hierarchical Lossless Data Compression
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    Chapter 29 Eureka! Bellman’s Principle of Optimality is Valid!
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    Chapter 30 Reflections on Statistical Methods or Complex Stochastic Systems
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Title
Modeling Uncertainty : An Examination of Stochastic Theory, Methods, and Applications
Published by
Springer US, January 2005
DOI 10.1007/b106473
ISBNs
978-0-306-48102-4, 978-0-7923-7463-3
Authors

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

Editors

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

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 4%
Iran, Islamic Republic of 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Researcher 7 15%
Student > Doctoral Student 7 15%
Student > Bachelor 7 15%
Professor 5 11%
Other 10 22%
Unknown 1 2%
Readers by discipline Count As %
Engineering 19 41%
Mathematics 5 11%
Business, Management and Accounting 4 9%
Economics, Econometrics and Finance 3 7%
Earth and Planetary Sciences 3 7%
Other 11 24%
Unknown 1 2%