/sci/ - Science & Math

>>10134099
Undergrad:
Learn up to multivariable probability, convergence theorems, then pick up a book on statistical inference like applied statistical inference: likelihood and bayes, and a book that treats general linear models in depth + generalised linear models(dont have a recommendation since I used material in Swedish) and stochastic processes(intro to prob models by Sheldon Ross). I highly recommend going through Categorical Data Analysis by Agresti as well

Master level:
After that if you want to go deeper learn measure theoretic probability theory(Kai Lai Chungs A course in probability theory is good), and mathematical statistics by shao to relearn everything with measure theory, learn more bayesian modelling with bayesian methods for data analysis by Carlin & Louis. Find a book that covers statistical modelling and inference on the exponential family(the one I'm using is in Swedish). For biostats and epi this book is pretty good Lachlin: Biostatistical Methods. If you want survival analysis use "Survival and Event History Analysis: A Process Point of View" by Aalen, Borgan och Gjessing. Dont have a recommendation in grad level stochastic processes yet.

You should probably throw in baby rudin and some more analysis as well somewhere
Now I really gotta sleep