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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.

*图书按照出版时间,书名排序。
Cumulative Sum Charts and Charting for Quality Improvement,Douglas M. HawkinsDavid H. Olwell,1998
Feedforward Neural Network Methodology,Terrence L. Fine,1999
Probabilistic Networks and Expert Systems,Robert G. CowellA. Philip DawidSteffen L. LauritzenDavid J. Spiegelhalter,1999
The Practice of Time Series Analysis,Hirotugu AkaikeGenshiro Kitagawa,1999
The Nature of Statistical Learning Theory,Vladimir N. Vapnik,2000
参见
Bayesian Networks and Decision Graphs,Finn V. Jensen,2001
Computer Intrusion Detection and Network Monitoring,David J. Marchette,2001
Sequential Monte Carlo Methods in Practice,Arnaud DoucetNando de FreitasNeil Gordon,2001
参见
The Cross-Entropy Method,Reuven Y. RubinsteinDirk P. Kroese,2004
参见
On Probabilistic Conditional Independence Structures,Michael JordanJon KleinbergBernhard SchölkopfFrank P. KellyIan Witten,2005
参见
Statistical and Inductive Inference by Minimum Message Length,C.S. Wallace,2005
Estimation of Dependences Based on Empirical Data,Vladimir Vapnik,2006
参见
Bayesian Networks and Decision Graphs,Finn V. JensenThomas D. Nielsen,2007
参见
Information and Complexity in Statistical Modeling,Jorma Rissanen,2007
Nonlinear Dimensionality Reduction,John A. LeeMichel Verleysen,2007
Bayesian Networks and Influence Diagrams,Uffe B. KjærulffAnders L. Madsen,2008
Support Vector Machines,Andreas ChristmannIngo Steinwart,2008
参见
Computational Methods in Biometric Authentication,Michael E. Schuckers,2010
参见
Information Theoretic Learning,Jose C. Principe,2010
参见
Statistical Image Processing and Multidimensional Modeling,Paul Fieguth,2011
参见
Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis,Uffe B. KjærulffAnders L. Madsen,2013
参见
查看全部Springer Statistics Book Series

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