A Minimum of Stochastics for Scientists
by Noel Corngold
Publisher: Caltech 2009
Number of pages: 77
Description:
The idea behind the book was to introduce students to the ideas and attitudes that underlie the statistical modeling of physical, chemical, biological systems. These pages contain material the author have tried to convey, in a course given occasionally, to a Caltech audience composed mostly of graduate students.
Download or read it online for free here:
Download link
(730KB, PDF)
Similar books
Random Matrix Models and Their Applicationsby Pavel Bleher, Alexander Its - Cambridge University Press
The book covers broad areas such as topologic and combinatorial aspects of random matrix theory; scaling limits, universalities and phase transitions in matrix models; universalities for random polynomials; and applications to integrable systems.
(11437 views)
Inverse Problem Theory and Methods for Model Parameter Estimationby Albert Tarantola - SIAM
The first part deals with discrete inverse problems with a finite number of parameters, while the second part deals with general inverse problems. The book for scientists and applied mathematicians facing the interpretation of experimental data.
(11468 views)
Topics in Random Matrix Theoryby Terence Tao
This is a textbook for a graduate course on random matrix theory, inspired by recent developments in the subject. This text focuses on foundational topics in random matrix theory upon which the most recent work has been based.
(8738 views)
Convergence of Stochastic Processesby D. Pollard - Springer
Selected parts of empirical process theory, with applications to mathematical statistics. The book describes the combinatorial ideas needed to prove maximal inequalities for empirical processes indexed by classes of sets or classes of functions.
(10502 views)