Computational Probability Algorithms and Applications in the Mathematical Sciences

Stochastic Programming The State of the Art In Honor of George B. Dantzig

Fuzzy Stochastic Multiobjective Programming

Linear and Multiobjective Programming with Fuzzy Stochastic Extensions

Markov Chains Models, Algorithms and Applications

Hamiltonian Cycle Problem and Markov Chains

Queueing Networks A Fundamental Approach

Stochastic Linear Programming Models, Theory, and Computation

Markovian Demand Inventory Models

Combat Modeling

Risk Analysis of Complex and Uncertain Systems

Design and Analysis of Simulation Experiments

Level Crossing Methods in Stochastic Models

Hidden Markov Models in Finance

System Signatures and their Applications in Engineering Reliability

Markov Chains: Models, Algorithms and Applications

Vacation Queueing Models Theory and Applications

The Theory and Practice of Revenue Management

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

Uncertainty in the Electric Power Industry Methods and Models for Decision Support

Stochastic Linear Programming Models, Theory, and Computation

Stopped Random Walks Limit Theorems and Applications

Heavy-Tail Phenomena Probabilistic and Statistical Modeling

An Introduction to Heavy-Tailed and Subexponential Distributions

Mathematical Risk Analysis Dependence, Risk Bounds, Optimal Allocations and Portfolios

Modeling with Stochastic Programming

An Introduction to Heavy-Tailed and Subexponential Distributions

Extreme Value Theory An Introduction

Analysis and Algorithms for Service Parts Supply Chains

Continuous Average Control of Piecewise Deterministic Markov Processes

Simulation-Based Algorithms for Markov Decision Processes

Probability Models

Stochastic Models in Reliability

Informal Introduction to Stochastic Processes with Maple

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

Introduction to Queueing Systems with Telecommunication Applications

Continuous-Time Markov Chains and Applications A Two-Time-Scale Approach

Matrix-Analytic Methods in Stochastic Models

Performance Models and Risk Management in Communications Systems

Advances in Data Analysis Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks

Constructive Computation in Stochastic Models with Applications The RG-Factorization

Quantitative Sociodynamics Stochastic Methods and Models of Social Interaction Processes

Designing Public Policies An Approach Based on Multi-Criteria Analysis and Computable General Equilibrium Modeling

Performance Analysis and Optimization of Multi-Traffic on Communication Networks

Advances in Queueing Theory and Network Applications

Theory and Practice of Uncertain Programming

Continuous-Time Markov Decision Processes Theory and Applications

Queueing Theory A Linear Algebraic Approach

Scheduling Theory, Algorithms, and Systems

Numerical Methods for Controlled Stochastic Delay Systems

Bayesian Networks and Influence Diagrams A Guide to Construction and Analysis

Markov Decision Processes With Their Applications

Semi-Markov Chains and Hidden Semi-Markov Models toward Applications Their use in Reliability and DNA Analysis

An Introduction to Queueing Theory Modeling and Analysis in Applications

Stability of Queueing Networks École d'Été de Probabilités de Saint-Flour XXXVI - 2006

Applied Stochastic Processes

Stochastic Simulation: Algorithms and Analysis

Simulation-based Algorithms for Markov Decision Processes

Applied Stochastic Control of Jump Diffusions

Uncertainty Theory

Measure Theory and Probability Theory

Control of Spatially Structured Random Processes and Random Fields with Applications

Recent Advances in Applied Probability

Applied Stochastic Control of Jump Diffusions