Pattern Recognition and Machine Learning (Information Science and Statistics)
Author: Christopher M. Bishop
Manufacturer: Springer
|
Data Analysis Using Regression and Multilevel/Hierarchical Models
Author: Andrew Gelman
Manufacturer: Cambridge University Press
|
Probability Theory: The Logic of Science
Author: E. T. Jaynes
Manufacturer: Cambridge University Press
|
The Elements of Statistical Learning
Author: T. Hastie
Manufacturer: Springer
|
Introductory Statistics with R (Statistics and Computing)
Author: Peter Dalgaard
Manufacturer: Springer
|
Bayesian Data Analysis, Second Edition (Texts in Statistical Science)
Author: Andrew Gelman
Manufacturer: Chapman & Hall/CRC
|
Probability and Statistics, 3rd Edition
Author: Morris H. DeGroot
Manufacturer: Addison Wesley
|
Convex Optimization
Author: Stephen Boyd
Manufacturer: Cambridge University Press
|
Monte Carlo Statistical Methods (Springer Texts in Statistics)
Author: Christian P. Robert
Manufacturer: Springer
|
Introductory Statistics with R
Author: Peter Dalgaard
Manufacturer: Springer
|
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)
Author: Bernhard Schlkopf
Manufacturer: The MIT Press
|
Principles of Statistical Inference
Author: D. R. Cox
Manufacturer: Cambridge University Press
|
Data Analysis and Graphics Using R
Author: John Maindonald
Manufacturer: Cambridge University Press
|
Statistical Inference
Author: George Casella
Manufacturer: Duxbury Press
|
Categorical Data Analysis (Wiley Series in Probability and Statistics)
Author: Alan Agresti
Manufacturer: Wiley-Interscience
|
Pattern Classification (2nd Edition)
Author: Richard O. Duda
Manufacturer: Wiley-Interscience
|
Introduction to Time Series and Forecasting
Author: Peter J. Brockwell
Manufacturer: Springer
|
Learning Bayesian Networks (Artificial Intelligence)
Author: Richard E. Neapolitan
Manufacturer: Prentice Hall
|
Numerical Analysis for Statisticians
Author: Kenneth Lange
Manufacturer: Springer
|
Modern Applied Statistics with S
Author: W.N. Venables
Manufacturer: Springer
|
Testing Statistical Hypotheses (Springer Texts in Statistics)
Author: E.L. Lehmann
Manufacturer: Springer
|
Mathematical Statistics
Author: Jun Shao
Manufacturer: Springer
|
Information Theory, Inference & Learning Algorithms
Author: David J. C. MacKay
Manufacturer: Cambridge University Press
|
Semi-Supervised Learning (Adaptive Computation and Machine Learning)
Manufacturer: The MIT Press
|
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Author: Carl Edward Rasmussen
Manufacturer: The MIT Press
|
Bayesian Statistics: An Introduction (Arnold Publication)
Author: Peter M. Lee
Manufacturer: A Hodder Arnold Publication
|
In All Likelihood: Statistical Modelling and Inference Using Likelihood
Author: Yudi Pawitan
Manufacturer: Oxford University Press, USA
|
Kernel Methods for Pattern Analysis
Author: John Shawe-Taylor
Manufacturer: Cambridge University Press
|
The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation (Springer Texts in Statistics)
Author: Christian P. Robert
Manufacturer: Springer
|
All of Nonparametric Statistics (Springer Texts in Statistics)
Author: Larry Wasserman
Manufacturer: Springer
|
Understanding Complex Datasets: Data Mining with Matrix Decompositions (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)
Author: David Skillicorn
Manufacturer: Chapman & Hall/CRC
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