Fr. 76.00

Probability Theory I - Random Variables and Distributions

English · Paperback / Softback

Shipping usually within 2 to 3 weeks (title will be printed to order)

Description

Read more

This book provides a concise yet rigorous introduction to probability theory. Among the possible approaches to the subject, the most modern approach based on measure theory has been chosen: although it requires a higher degree of mathematical abstraction and sophistication, it is essential to provide the foundations for the study of more advanced topics such as stochastic processes, stochastic differential calculus and statistical inference. The text originated from the teaching experience in probability and applied mathematics courses within the mathematics degree program at the University of Bologna; it is suitable for second- or third-year students in mathematics, physics, or other natural sciences, assuming multidimensional differential and integral calculus as a prerequisite. The four chapters cover the following topics: measures and probability spaces; random variables; sequences of random variables and limit theorems; and expectation and conditional distribution. The text includes a collection of solved exercises.

List of contents

1 Measures and probability spaces.- 2 Random variables.- 3 Sequences of random variables.- 4 Conditional probability.- 5 Summary exercises.- Appendix A: Dynkin's theorems.- Appencix B: Absolute continuity.- Appendix C: Uniform integrability.

About the author










Andrea Pascucci is a professor of Probability and Mathematical Statistics at the Alma Mater Studiorum - University of Bologna. His research activity encompasses various aspects of the theory of stochastic differential equations for diffusions and jump processes, degenerate partial differential equations, and their applications to mathematical finance. He has authored 6 books and over 80 scientific articles on the following topics: linear and nonlinear Kolmogorov-Fokker-Planck equations; regularity and asymptotic estimates of transition densities for multidimensional diffusions and jump processes; free boundary problems, optimal stopping, and applications to American-style financial derivatives; Asian options and volatility models. He has been invited as a speaker at more than 40 international conferences. He serves as an editor for the Journal of Computational Finance and is the director of a postgraduate program in Mathematical Finance at the University of Bologna.


Product details

Authors Andrea Pascucci
Publisher Springer, Berlin
 
Original title Teoria della Probabilità. Variabili aleatorie e distribuzioni
Languages English
Product format Paperback / Softback
Released 19.10.2024
 
EAN 9783031631894
ISBN 978-3-0-3163189-4
No. of pages 382
Dimensions 155 mm x 19 mm x 235 mm
Weight 684 g
Illustrations XXI, 382 p. 24 illus., 16 illus. in color.
Series UNITEXT
La Matematica per il 3+2
Subject Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.