Resourses

All of Statistics: A Concise Course in Statistical Inference

Author: Larry Wasserman
Course Name: Advanced Inference
ISBN: 978-0387402727 or 978-1441923226

An Introduction to Linear Statistical Models, Vol 1

Author: Franklin A. Graybill (Library)

Applied Predictive Modeling

Authors: Max Kuhn & Kjell Johnson
ISBN: 978-1461468493

Bayesian Nonparametrics

Editors: Nils Lid Hjort, Chris Holmes, Peter Müller, Stephen G. Walker
Course Name: Nonparametric Statistics
ISBN: 978-0521513463

Biostatistics: A Foundation for Analysis in the Health Sciences (11th Edition)

Authors: Daniel and Cross (Library)

Categorical Data Analysis (3rd Edition)

Author: Alan Agresti

Computational Bayesian Statistics: An Introduction

Authors: M. Antónia Amaral Turkman, Carlos Daniel Paulino, Peter Müller
Course Name: Bayesian Inference
ISBN: 978-1108703741

Data Analysis Using Regression and Multilevel/Hierarchical Models

Authors: Andrew Gelman and Jennifer Hill (Library)
Course Name: Applied Regression
ISBN: 978-0521867061

Data Science & Predictive Analytics

Author: Dinov

Data Science and Machine Learning: Mathematical and Statistical Methods

Authors: Dirk P. Kroese, Zdravko Botev, Thomas Taimre, Radislav Vaisman
ISBN: 1138492531

Deep Learning

Authors: Ian Goodfellow, Yoshua Bengio, Aaron Courville

Epidemiology

Author: Gordis (Library)

Epidemiology by Design

Author: Westreich

Epidemiology for Public Health Practice

Authors: Friis & Sellers

Essentials of Infectious Disease Epidemiology

Authors: Lisa M. Lee, Deborah A., Johan Giesecke (Library)

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Author: Sullivan

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Author: VanderWeele

Fundamentals of Biostatistics

Author: Rosner

Fundamentals of Nonparametric Bayesian Inference

Authors: Subhashis Ghosal and Aad van der Vaart
Course Name: Bayesian Inference

Infectious Disease Epidemiology

Authors: Kenrad E. Nelon and Carolyn Masters Williams

Intuitive Biostatistics

Author: Motulsky

Linear Statistical Inference and Its Applications (2nd Edition)

Author: C. Radhakrishna Rao
Course Name: Linear Models, Multivariate Analysis
ISBN: 978-0471708223, 978-0471218753

Monte Carlo Statistical Methods (2nd Edition)

Authors: Christian P. Robert, George Casella

Multiple Testing Procedures with Applications to Genomics

Authors: Sandrine Dudoit and Mark van der Laan
Course Name: STAT 7850

Numerical Bayesian Methods Applied to Signal Processing

Authors: Joseph J.K. O Ruanaidh, William J. Fitzgerald

Python Machine Learning - Second Edition

Authors: Sebastian Raschka & Vahid Mirjalili
ISBN: 978-1787126022

Statistical Genomics

Authors: Brooke Fridley & Xuefeng Wang
ISBN: 978-1-0716-2986-4 (Library)

Statistical Learning in Genetics: An Introduction Using R

Author: Daniel Sorensen
Course Name: STAT7750
ISBN: 3031358503

Statistical Rethinking: A Bayesian Course with Examples in R and STAN (2nd Edition)

Author: Richard McElreath
Course Name: Bayesian Inference
ISBN: 978-0367139919

Statistical Thinking through Media Examples

Author: Anthony Donoghue
ISBN: 978-1793541963

The Bayesian Choice (2nd Edition)

Author: Christian P. Robert
Course Name: Bayesian Inference

Veridical Data Science

Authors: Bin Yu & Rebecca L. Barter
ISBN: 9780262379700 (Library)