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 ...

Statistical Science, Vol. 25, No. 1 (February 2010), pp. 72-87 (16 pages) The Dempster-Shafer (DS) theory is a powerful tool for probabilistic reasoning based on a formal calculus for combining ...

Modern statistical methodologies are increasingly focused on addressing the challenges associated with high-dimensional data through advanced techniques for variable selection and model estimation.

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 ...

Properties of estimators: unbiasedness, consistency, efficiency and sufficiency. Methods of estimation with particular emphasis given to the method of maximum likelihood. Hypothesis testing and ...

The second century Alexandrian astronomer and mathematician Claudius Ptolemy had a grand ambition. Hoping to make sense of the motion of stars and the paths of planets, he published a magisterial ...

Statistical physics and message passing inference represent two interwoven strands of modern quantitative research. While statistical physics examines how macroscopic phenomena emerge from the ...

DTSA 5001 Probability and Foundations for Data Science and AI - Same as APPA 5001 DTSA 5002 Statistical Estimation for Data Science and AI - Same as APPA 5003 DTSA 5003 Statistical Inference and ...