Towars a Theory of Stochastic Hybrid Systems
HSCC '00 Proceedings of the Third International Workshop on Hybrid Systems: Computation and Control
Probabilistic analysis of a differential equation for linear programming
Journal of Complexity
Optimal Dynamic Auctions for Revenue Management
Management Science
Concentration for self-bounding functions and an inequality of Talagrand
Random Structures & Algorithms
Vertex cuts, random walks, and dimension reduction in series-parallel graphs
Proceedings of the thirty-ninth annual ACM symposium on Theory of computing
Automated Detection of Load Changes in Large-Scale Networks
TMA '09 Proceedings of the First International Workshop on Traffic Monitoring and Analysis
Robustness and Regularization of Support Vector Machines
The Journal of Machine Learning Research
A repeated significance test with applications to sequential detection in sensor networks
IEEE Transactions on Signal Processing
Kernel Estimation of the Greeks for Options with Discontinuous Payoffs
Operations Research
Probabilistic approximations of ODEs based bio-pathway dynamics
Theoretical Computer Science
First-passage percolation on a width-2 strip and the path cost in a VCG auction
WINE'06 Proceedings of the Second international conference on Internet and Network Economics
Online windowed subsequence matching over probabilistic sequences
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Minimax option pricing meets black-scholes in the limit
STOC '12 Proceedings of the forty-fourth annual ACM symposium on Theory of computing
Copula-based semiparametric models for multivariate time series
Journal of Multivariate Analysis
Heavy-traffic asymptotics for the single-server queue with random order of service
Operations Research Letters
Mining statistically significant substrings using the chi-square statistic
Proceedings of the VLDB Endowment
Particle swarm optimization almost surely finds local optima
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Trace complexity of network inference
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Blind system identification using precise and quantized observations
Automatica (Journal of IFAC)
Expert Systems with Applications: An International Journal
Discrete Tomography Data Footprint Reduction by Information Conservation
Fundamenta Informaticae - Strategies for Tomography
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This book is an introduction to probability theory covering laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action, so there are 200 examples and 450 problems.