Probability and Statistics

A. C. Atkinson and A. N. Donev, Optimum Experimental Designs
Harald Cramér, Mathematical Methods of Statistics
B. Roy Frieden, Physics from Fisher Information: A Unification
Gerg Gigerenzer, Peter M. Todd and the ABC Research Group, Simple Heuristics That Make Us Smart [Review forthcoming]
Christian Gouriéroux and Alain Monfort, Simulation-Based Econometric Methods
Ian Hacking, The Taming of Chance [Review forthcoming]
David Hand, Heikki Mannila and Padhraic Smyth, Principles of Data Mining [Review forthcoming]
Mark S. Handcock and Martina Morris, Relative Distribution Methods in the Social Sciences
Bernard E. Harcourt, Against Prediction: Profiling, Policing, and Punishing in an Actuarial Age
Paul H. Harvey and Mark D. Pagel, The Comparative Method in Evolutionary Biology
Michael J. Kearns and Umesh V. Vazirani, An Introduction to Computational Learning Theory
Gary King, A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data
Jack L. King, Operational Risk: Measurement and Modelling
Rosario N. Mantegna and H. Eugene Stanley, An Introduction to Econophysics: Correlations and Complexity in Finance
Deborah G. Mayo, Error and the Growth of Experimental Knowledge
Judea Pearl, Causality: Models, Reasoning, and Inference [Review forthcoming]
E. J. G. Pitman, Some Basic Theory for Statistical Inference
Constance Reid, Neyman from Life [Review forthcoming]
Fred Rieke, David Warland, Rob de Ruyter van Steveninck, and William Bialek, Spikes: Exploring the Neural Code
Jorma Rissanen, Stochastic Complexity in Statistical Inquiry
Wesley Salmon, Scientific Explanation and the Causal Structure of the World [Review forthcoming]
A. N. Shiryaev, Essentials of Stochastic Finance: Facts, Models, Theory
Peter Spirtes, Clark Glymour and Richard Scheines, Causation, Prediction, and Search [Review forthcoming]
Chris Thornton, Truth from Trash: How Learning Makes Sense
V. N. Vapnik, The Nature of Statistical Learning Theory
Sholom M. Weiss and Nitin Indurkhya, Predictive Data Mining: A Practical Guide [Review forthcoming]

Cf. Mathematics