The Elements of Statistical Learning
Trevor Hastie, Robert Tibshirani & Jerome Friedman
Regression Modeling Strategies
Frank E. Harrell , Jr.
Forecasting with Exponential Smoothing
Rob Hyndman, Anne B. Koehler, J. Keith Ord & Ralph D. Snyder
An Introduction to Sequential Monte Carlo
Nicolas Chopin & Omiros Papaspiliopoulos
Simulation and Inference for Stochastic Differential Equations
Stefano M. Iacus
Permutation, Parametric, and Bootstrap Tests of Hypotheses
Phillip I. Good
Statistics for High-Dimensional Data
Peter Bühlmann & Sara van de Geer
Robust Statistics Through the Monitoring Approach
Anthony C. Atkinson, Marco Riani, Aldo Corbellini, Domenico Perrotta & Valentin Todorov
Targeted Learning in Data Science
Mark J. van der Laan & Sherri Rose
Dynamic Data Analysis
James Ramsay & Giles Hooker