This book constitutes the refereed proceedings of the First International Conference on Analytical and Computational Methods in Probability Theory and its Appli

Provides a basic understanding of both the underlying mathematics and the computational methods used to solve inverse problems.

Describes computational methods for parametric and nonparametric modeling of stochastic dynamics. Aimed at graduate students, and suitable for self-study.

Randomization and probabilistic techniques play an important role in modern computer science, with applications ranging from combinatorial optimization and mach

Presents an aspect of activity in integral equations methods for the solution of Volterra equations for those who need to solve real-world problems. Since there