When I was a student in the 1970s, my mentor, statistician Adrian Smith, was translating the Italian actuary Bruno de Finetti’s Theory of Probability. De Finetti had developed ideas of ...

This course presents the mathematical foundations of Probability Theory, including the concepts of Probability Space and random variable. Various types of convergence of sequences and measurable ...

Analysis and algebra at the level of a BSc in pure or applied mathematics and basic statistics and probability theory with stochastic processes. Knowledge of measure theory is not required as the ...

Could be changed** The notion of “conditional probability” is a very useful concept from Probability Theory and in this module we introduce the idea of “conditioning” and Bayes’ Formula. The ...

This module develops the theory of probability from the module `Introduction to Probability' and then introduces the fundamental ideas of classical statistics. It covers descriptive statistics, the ...

Equivalent combinations may be accepted at the lecturer’s discretion. The course covers the probability and distribution theory needed for advanced courses in statistics and econometrics.: Topics ...

Introduces students to the tools methods and theory behind extracting insights from data. Covers algorithms of cleaning and munging data, probability theory and common distributions, statistical ...

With topics ranging from concentration of measure to graphical models, the author weaves together probability theory and its applications to statistics. Ideal for graduate students and researchers.

Cynthia Frelund's model projects the final scores, win probability, and cover probability for every NFL game in week 18 of the 2022 season Cynthia Frelund's model projects the final scores ...