Overview
Mathematical and Statistical Methods for Actuarial Sciences and Finance is a book by Marco Corazza, María Durbán, Aurea Grané and Cira Perna and others, first published in 2010. In this catalogue it is classified mainly under Mathematical Finance, with secondary coverage of Quantitative Finance, Financial Econometrics and Risk Management.
Audience and depth. The rule-based model places its mathematical difficulty at advanced level (7/10); readers are typically expected to know calculus, linear algebra, probability theory, statistics and stochastic processes.
Orientation. The theory-versus-practice balance could not be determined from metadata. The archive holds 6 papers whose topics and vocabulary overlap with this book; those links are inferred (see the research connections below).
How to read this page. Topics, difficulty, prerequisites and orientation are model-derived (rule-based, rule_based_v1) from bibliographic metadata such as title, subject headings and edition data. They were not produced by reading the book and are not a review. Relevance confidence is 92% and difficulty confidence is 93%; the catalogue lists no ratings or awards.