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