PROBABILITY

PROBABILITY:

- General: Introductory:
- A Course on Elementary Probability Theory by Gane Samb Lo [2017/03] 209 pp.

- General:
- Probability and Statistical Inference by Harrison B. Prosper [2005/03]
- The Modelling of Random Phenomena by Aureli Alabert [2008/07]
- Data analysis recipes: Probability calculus for inference by David W. Hogg [2012/05]
- Notes on Probability Theory by Rupam Haloi and Manjil P. Saikia [2014/05]
- Probability and Statistics for Particle Physicists by José Ocariz [2014/05]
- Introduction to foundations of probability and randomness (for students in physics), Lecture-1: Kolmogorov and von Mises by Andrei Khrennikov [2014/10]
- Frequentism and Bayesianism: A Python-driven Primer by Jake VanderPlas [2014/11]
- Learning about probabilistic inference and forecasting by playing with multivariate normal distributions by Giulio D'Agostini [2015/04]
- Three Lectures on Probability and Statistics by Carlos Mana [2016/10]
- Four Lectures on Probabilistic Methods for Data Science by Roman Vershynin [2016/12]
- Theory of Probability: An Elementary Treatise against a Historical Background by Oscar Sheynin [2018/02]

- Types:
*BAYESIAN;* - Type: FREE:
- Lecture Notes on Free Probability by Vladislav Kargin [2013/05] 100 pp.

- Type: NEGATIVE:
- Negative probability by Andreas Blass and Yuri Gurevich [2015/02]

- Type: STOCHASTIC CALCULUS:
- Martingales et calcul stochastique by Nils Berglund [2013/12] 125 pp., in French.

- Aspects: GIBBS POINT PROCESSES:
- Introduction to the theory of Gibbs point processes by David Dereudre [2016/04]

- Aspects: MIXTURES:
- Introduction to Finite Mixtures by Peter J. Green [2017/05]

ArXiv to