Incorporates traditional statistical and probability theory with modern computational methods.

- An Introduction to Probability Theory and its Applicationsby Feller,William.

Published by : Wiley

ISBN: 9788126518050

- Bayesian Analysis of Stochastic Process Modelsby Insua , David

Ruggeri , Fabrizio

Wiper, Mike - Stochastic Differential Equations in Science and Engineeringby Henderson, Douglas

Publisher: World Scientific

ISBN: 9789812774798 - Three Classes Of Nonlinear Stochastic Partial Differential Equationsby Xiong, Jie

Publisher: World Scientific

ISBN: 9789814452366

- Probability generating, functions.
- Compound distributions.
- Simple random walk.
- branching processes.
- Markov process.
- discrete and continuous time Markov chains.
- birth-death process.
- immigration and emigration process.
- immigration-death processes.
- renewal processes.
- Markov renewal process.
- Ergodic theorem.
- Gaussian processes and Brownian motion.

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- Stochastic Volatilityby Shephard, Neil

Publisher: OUP Oxford

ISBN: 9780191531422 - Stochastic Approximation and Its Applicationsby Chen, Han-Fu

Publisher: Kluwer Academic Publishers

ISBN: 9780306481666