Probability, 1st ed. 2023 An Introduction Through Theory and Exercises Universitext Series
Auteur : Baldi Paolo
This textbook offers a complete one-semester course in probability, covering the essential topics necessary for further study in the areas of probability and statistics.
The book begins with a review of the fundamentals of measure theory and integration. Probability measures, random variables, and their laws are introduced next, along with the main analytic tools for their investigation, accompanied by some applications to statistics. Questions of convergence lead to classical results such as the law of large numbers and the central limit theorem with their applications also to statistical analysis and more. Conditioning is the next main topic, followed by a thorough introduction to discrete time martingales. Some attention is given to computer simulation. Through the text, over 150 exercises with full solutions not only reinforce the concepts presented, but also provide students with opportunities to develop their problem-solving skills, and make this textbook suitable for guided self-study.
Based on years of teaching experience, the author's expertise will be evident in the clear presentation of material and the carefully chosen exercises. Assuming familiarity with measure and integration theory as well as elementary notions of probability, the book is specifically designed for teaching in parallel with a first course in measure theory. An invaluable resource for both instructors and students alike, it offers ideal preparation for further courses in statistics or probability, such as stochastic calculus, as covered in the author's book on the topic.
A complete one-semester course in probability with measure theory
Provides the necessary background to study stochastic calculus and advanced statistics
Includes over 150 exercises with full solutions
Date de parution : 01-2024
Ouvrage de 389 p.
15.5x23.5 cm
Thème de Probability :
Mots-clés :
textbook on probability with measure theory; measure theory for probability; Lebesgue integration for probability; random variables; central limit theorem; chi square test; probability laws; laplace transform; martingales; convergence of random variables; convergence of probabilities; approximation of probabilities; conditional expectation; stochastic processes