Contents

Bibliography

References

App19

David Applebaum. Semigroups of Linear Operators. Volume 93. Cambridge University Press, 2019.

Bob05

Adam Bobrowski. Functional analysis for probability and stochastic processes: an introduction. Cambridge University Press, 2005.

How17

Douglas C Howard. Elements of Stochastic Processes: A Computational Approach. FE Press, 2017.

LM94

Andrzej Lasota and Michael C Mackey. Chaos, fractals, and noise: stochastic aspects of dynamics. Volume 97. Springer Science & Business Media, 1994.

LG16

Jean-François Le Gall. Brownian motion, martingales, and stochastic calculus. Volume 274. Springer, 2016.

Lig10

Thomas Milton Liggett. Continuous time Markov processes: an introduction. Volume 113. American Mathematical Soc., 2010.

Nor98

James R Norris. Markov chains. Number 2. Cambridge University Press, 1998.

Par08

Etienne Pardoux. Markov processes and applications: algorithms, networks, genome and finance. Volume 796. John Wiley & Sons, 2008.

PichorRTKaminska12

Katarzyna Pichór, Ryszard Rudnicki, and Marta Tyran-Kamińska. Stochastic semigroups and their applications to biological models. Demonstratio Mathematica, 45(2):463–494, 2012.

SK11

Prasanna K Sahoo and Palaniappan Kannappan. Introduction to functional equations. CRC Press, 2011.

Sta09

John Stachurski. Economic dynamics: theory and computation. MIT Press, 2009.

Str13

Daniel W Stroock. An introduction to Markov processes. Volume 230. Springer Science & Business Media, 2013.

Wal12

John B Walsh. Knowing the odds: an introduction to probability. Volume 139. American Mathematical Soc., 2012.