Introductory books on statistics
- Statistical Modeling and Machine Learning for Molecular Biology
- By Alan Moses
- Bayesian Data analysis (3rd Edition)
- By Gelman et al.
- Chapters 1-3, 5. Bayesian statistics background
- Chapters 10-11. MCMC
- Chapter 14.15: Bayesian regression
- Machine Learning: a probabilistic perspective
- Chapter 4. Multivariate normal distributions
- Chapter 5. Bayesian model selection
- Chapters 7, 8, 9, 13: regression models
- Chapter 11. mixture model and EM
- Chapter 12. Latent linear models
- Chapter 17. HMM.
- Chapter 21. Variational inference
- Chapter 24: MCMC.
- Chapter 25. Clustering
- Data Analysis for the Life Sciences with R
- By Rafa Irizzary
- Statistical Inference (2nd Edition)
- By Casella and Berger
- An introductory book to mathematical statistics
- Likelihood, Bayesian and MCMC methods in quantitative genetics
- By Sorensen and Gianola
- This book has many examples illustrated in quantitative genetics