This course is compulsory on the BSc in Actuarial Science, BSc in Financial Mathematics and Statistics and BSc in Statistics with Finance. This course is available on the BSc in Business Mathematics ...

This is a preview. Log in through your library . Abstract We present a general approach to statistical problems with criteria based on probabilities of large deviations. Our main idea, which ...

Introduces exploratory data analysis, probability theory, statistical inference, and data modeling. Topics include discrete and continuous probability distributions, expectation, laws of large numbers ...

Statistics is the science of learning from data. The theoretical foundation of statistics lies in probability theory, which is applied to decision-making under uncertainty. Data science consists of ...

Epistemic decision theory integrates formal models of rational belief with the processes of decision‐making under uncertainty. It addresses how agents should revise their credences in light of new and ...

It is shown that the fiducial distribution in a group model, or more generally a quasigroup model, determines the optimal equivariant frequentist inference procedures. The proof does not rely on ...

Definition: A model is a family of possible distributions for some random variable . (Our data set is , so will generally be a big vector or matrix or even more complicated object.) We will assume ...

A general program that focuses on the analysis of quantities, magnitudes, forms, and their relationships, using symbolic logic and language. Includes instruction in algebra, calculus, functional ...