Large Deviation Theory

5Citations
Citations of this article
32Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This chapter applies Wentzell’s theory of large deviation s to the Wright–Fisher model, using the approach of Papangelou (Athens conference on applied probability and time series analysis. Lecture notes in statistics, vol 114. Springer, New York, pp 245–252, 1996; Papangelou, Ann Appl Probab, 8(1):182–192, 1998; Papangelou, Stochastic processes and related topics. Trends in mathematics. Birkhäuser, Boston, pp 315–330, 1998; Papangelou, Ann Appl Probab 10(4):1259–1273, 2000). For a different approach to the large deviation principle for exit times in population genetics, we refer the reader to Morrow and Sawyer (Ann Probab 17(3):1124–1146, 1989) and Morrow (Ann Appl Probab 2(4):857–905, 1992). As customary, we shall abbreviate Large Deviation Principle as LDP.

Cite

CITATION STYLE

APA

Hofrichter, J., Jost, J., & Tran, T. D. (2017). Large Deviation Theory. In Understanding Complex Systems (pp. 169–194). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-52045-2_7

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free