The fields of computer science, communications, probability and statistics have become increasingly intertwined. Two significant trends characterize this development: algorithmic issues arising throughout probability and statistics, and probabilistic methods playing increasingly important roles in the design and analysis of information systems.
This series will feature graduate textbooks and advanced monographs that involve the integration of algorithmic and probabilistic or statistical aspects. The series will include books on fundamental theoretical issues and more applied books that present new algorithms and architectures of general interest. Suitable topics include randomized algorithms and combinatorics, graphical models, machine learning, algorithmic game theory, source coding and error control coding, network information theory, simulation, rare events, distributed and robust optimization, networking, information retrieval, information management, speech processing, statistical natural language processing, computer vision, and robotics.