Advances in applied probability.

Probability theory and examples

Probability: A Graduate Course

A treatise on induction and probability

Studies in inductive logic and probability

Probability, statistics, and stochastic processes

Recent Advances in Applied Probability

Basic Principles and Applications of Probability Theory

Probability theory and mathematical statistics for engineers

Quantum probability and applications V : proceedings of the fourth workshop, Held in Heidelberg, FRG, Sept. 26-30, 1988

Lectures on Probability Theory and Statistics Ecole d'Eté de Probabilités de Saint-Flour XXXIII - 2003

Universal Artificial Intellegence Sequential Decisions Based on Algorithmic Probability

Comprehensive Mathematics for Computer Scientists 2 Calculus and ODEs, Splines, Probability, Fourier and Wavelet Theory, Fractals and Neural Networks, Categories and Lambda Calculus

Quantum Independent Increment Processes I From Classical Probability to Quantum Stochastic Calculus

Between Necessity and Probability: Searching for the Definition and Origin of Life

Gradient Flows in Metric Spaces and in the Space of Probability Measures

Exploring Probability in School Challenges for Teaching and Learning

Probability and Partial Differential Equations in Modern Applied Mathematics

Olasılık yoğunluk fonksiyonu için uygulanabilir çekirdek kestirim yöntemi = The adaptive kernel estimation method for probability density function

A Modern Introduction to Probability and Statistics Understanding Why and How

Eigenvalues, Inequalities, and Ergodic Theory

Discrete-Time Markov Jump Linear Systems

Probabilistic Symmetries and Invariance Principles

Theory of Random Sets

Univariate discrete distributions

Combinatorial methods in discrete distributions

Gaussian Markov random fields theory and applications

Applied linear regression

Clinical trials a methodologic perspective

Contemporary Bayesian econometrics and statistics

Constrained statistical inference inequality, order, and shape restrictions

Martingale Methods in Financial Modelling

Bayesian models for categorical data

Recent advances in quantitative methods for cancer and human health risk assessment

Image processing and jump regression analysis

Average—Cost Control of Stochastic Manufacturing Systems

Elementary stochastic calculus with finance in view

Discrete-Time Markov Chains Two-Time-Scale Methods and Applications

Outliers in statistical data

Markov decision processes : discrete stochastic dynamic programming

Design and analysis of experiments

Finding groups in data : an introduction to cluster analysis

Counting processes and survival analysis

Design and analysis of experiments

Statistical methods for forecasting

Biostatistics : a foundation for analysis in the health sciences

Proceedings.

The philosophy of science : a collection of essays

Handbook of applicable mathematics

Conditional measures and applications

Advances in Ranking and Selection, Multiple Comparisons, and Reliability Methodology and Applications

Analysis of Variance for Random Models Volume II: Unbalanced Data Theory, Methods, Applications, and Data Analysis

An Introduction to Continuous-Time Stochastic Processes Theory, Models, and Applications to Finance, Biology, and Medicine

Advances in Dynamic Games Applications to Economics, Finance, Optimization, and Stochastic Control

Advanced Real Analysis Along with a companion volume Basic Real Analysis

Stochastik einmal anders Parallel geschrieben mit Beispielen und Fakten, vertieft durch Erläuterungen

Applied Stochastic Control of Jump Diffusions

Nonlinear Fokker-Planck Equations Fundamentals and Applications

Maß- und Integrationstheorie

An Introduction to Markov Processes

Interacting Stochastic Systems

The Generic Chaining Upper and Lower Bounds of Stochastic Processes

Stochastic Numerics for the Boltzmann Equation

A Course in Derivative Securities Introduction to Theory and Computation

Real Options Valuation The Importance of Interest Rate Modelling in Theory and Practice

Stochastik Theorie und Anwendungen

Analyzing Uncertainty in Civil Engineering

Generalized Bounds for Convex Multistage Stochastic Programs

Interacting Particle Systems

Elementare Stochastik Eine Einführung in die Mathematik der Daten und des Zufalls

Singular Stochastic Differential Equations

Séminaire de Probabilités XXXVIII

Stochastic Algorithms: Foundations and Applications Third International Symposium, SAGA 2005, Moscow, Russia, October 20-22, 2005. Proceedings

Recent Advances in Operator Theory, Operator Algebras, and their Applications XIXth International Conference on Operator Theory, Timişoara (Romania), 2002

Invariant Probalbilities of Markov-Feller Operators and Their Supports

Isomorphisms between H1 Spaces

Elementare Einführung in die angewandte Statistik Mit Aufgaben und Lösungen

Advances on models, characterizations, and applications

Quantum computation and quantum information

Malliavin calculus with applications to stochastic partial differential equations

Univariate discrete distributions.

Applied Rasch Measurement: A Book of Exemplars Papers in Honour of John P. Keeves

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

Queuing Theory and Telecommunications Networks and Applications

Stochastic Linear Programming Models, Theory, and Computation

Statistical Modeling and Analysis for Complex Data Problems

Inference for Change Point and Post Change Means After a CUSUM Test

Statistical and Computational Inverse Problems

Analysis and Algorithms for Service Parts Supply Chains

The Theory and Practice of Revenue Management

Markov Processes, Brownian Motion, and Time Symmetry

Univariate discrete distributions