Probability, Statistics and Stochastic Processes
by Cosma Rohilla Shalizi
Number of pages: 71
Contents: Probability (Probability Calculus, Random Variables, Discrete and Continuous Distributions); Statistics (The Care and Handling of Data, Sampling, Estimation, Hypothesis Testing); Stochastic Processes (Sequences of Random Variables, Markov Processes, Continuous-Time Stochastic Processes).
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by Hossein Pishro-Nik - Kappa Research, LLC
This book introduces students to probability, statistics, and stochastic processes. It can be used by both students and practitioners in engineering, sciences, finance, and other fields. It provides a clear and intuitive approach to these topics.
by Alexander K. Hartmann - arXiv
This is a practical introduction to randomness and data analysis, in particular in the context of computer simulations. At the beginning, the most basics concepts of probability are given, in particular discrete and continuous random variables.
by Christophe Garban, Jeffrey E. Steif - arXiv
The goal of this set of lectures is to combine two seemingly unrelated topics: (1) The study of Boolean functions, a field particularly active in computer science; (2) Some models in statistical physics, mostly percolation.
by Martin Hairer - arXiv
This text is an attempt to give a reasonably self-contained presentation of the basic theory of stochastic partial differential equations, taking for granted basic measure theory, functional analysis and probability theory, but nothing else.