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

Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends and colleagues of Sid Yakowitz in his honor. Fifty internionally known scholars have collectively contributed 30 papers on modeling uncertainty to this volume. Each of these pa...

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Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Dror, Moshe (Επιμελητής έκδοσης), L’Ecuyer, Pierre (Επιμελητής έκδοσης), Szidarovszky, Ferenc (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2005.
Σειρά:International Series in Operations Research & Management Science, 46
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Professor Sidney J. Yakowitz
  • Professor Sidney J. Yakowitz
  • I
  • Stability of Single Class Queueing Networks
  • Sequential Optimization Under Uncertainty
  • Exact Asymptotics for Large Deviation Probabilities, with Applications
  • II
  • Stochastic Modelling of Early HIV Immune Responses Under Treatment by Protease Inhibitors
  • The Impact of Re-Using Hypodermic Needles
  • Nonparametric Frequency Detection and Optimal Coding in Molecular Biology
  • III
  • An Efficient Stochastic Approximation Algorithm for Stochastic Saddle Point Problems
  • Regression Models for Binary Time Series
  • Almost Sure Convergence Properties of Nadaraya-Watson Regression Estimates
  • Strategies for Sequential Prediction of Stationary Time Series
  • IV
  • The Birth of Limit Cycles in Nonlinear Oligopolies with Continuously Distributed Information Lags
  • A Differential Game of Debt Contract Valuation
  • Huge Capacity Planning and Resource Pricing for Pioneering Projects
  • Affordable Upgrades of Complex Systems: A Multilevel, Performance-Based Approach
  • On Successive Approximation of Optimal Control of Stochastic Dynamic Systems
  • Stability of Random Iterative Mappings
  • V
  • ‘Unobserved’ Monte Carlo Methods for Adaptive Algorithms
  • Random Search Under Additive Noise
  • Recent Advances in Randomized Quasi-Monte Carlo Methods
  • VI
  • Singularly Perturbed Markov Chains and Applications to Large-Scale Systems under Uncertainty
  • Risk-Sensitive Optimal Control in Communicating Average Markov Decision Chains
  • Some Aspects of Statistical Inference in a Markovian and Mixing Framework
  • VII
  • Stochastic Ordering of Order Statistics II
  • Vehicle Routing with Stochastic Demands: Models & Computational Methods
  • Life in the Fast Lane: Yates’s Alogrithm, Fast Fourier and Walsh Transforms
  • Uncertainty Bounds in Parameter Estimation with Limited Data
  • A Tutorial on Hierarchical Lossless Data Compression
  • VIII
  • Eureka! Bellman’s Principle of Optimality is Valid!
  • Reflections on Statistical Methods or Complex Stochastic Systems.