Information Science and Statistics
Series Editors:
M. Jordan
J. Kleinberg
B. Schölkopf
Information Science and Statistics
Akaike and Kitagawa: The Practice of Time Series Analysis.
Bishop: Pattern Recognition and Machine Learning.
Cowell, Dawid, Lauritzen, and Spiegelhalter: Probabilistic Networks and
Expert Systems.
Doucet, de Freitas, and Gordon: Sequential Monte Carlo Methods in Practice.
Fine: Feedforward Neural Network Methodology.
Hawkins and Olwell: Cumulative Sum Charts and Charting for Quality Improvement.
Jensen: Bayesian Networks and Decision Graphs.
Marchette: Computer Intrusion Detection and Network Monitoring:
A Statistical Viewpoint.
Rubinstein and Kroese: The Cross-Entropy Method: A Unified Approach to
Combinatorial Optimization, Monte Carlo Simulation, and Machine Learning.
Studený: Probabilistic Conditional Independence Structures.
Vapnik: The Nature of Statistical Learning Theory, Second Edition.
Wallace: Statistical and Inductive
Monte/Carlo/Network/Networks/Probabilistic/Machine/Learning./Statistical/Inductive/机器/
Monte/Carlo/Network/Networks/Probabilistic/Machine/Learning./Statistical/Inductive/机器/
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