Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Statistics
  • Help & Advice
University of Warwick

The Library

  • Login

A weak bifucation theory for discrete time stochastic dynamical systems

Tools
- Tools
+ Tools

Diks, Cees and Wagener, Florian O. O. (2006) A weak bifucation theory for discrete time stochastic dynamical systems. Working Paper. Warwick Business School, Financial Econometrics Research Centre, Coventry.

[img]
Preview
PDF
WRAP_diks_fwp06-14.pdf - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader

Download (2450Kb)
Official URL: http://www2.warwick.ac.uk/fac/soc/wbs/research/wfr...

Abstract

This article presents a bifurcation theory of smooth stochastic dynamical systems that are governed by everywhere positive transition densities. The local dependence structure of the unique strictly stationary evolution of such a system can be expressed by the ratio of joint and marginal probability densities; this ‘dependence ratio’ is a geometric invariant of the system. By introducing a weak equivalence notion of these dependence ratios, we arrive at a bifurcation theory for which in the compact case, the set of stable (nonbifurcating) systems is open and dense. The theory is illustrated with some simple examples.

Item Type: Working or Discussion Paper (Working Paper)
Subjects: H Social Sciences > HB Economic Theory
Q Science > QA Mathematics
Divisions: Faculty of Social Sciences > Warwick Business School > Financial Econometrics Research Centre
Faculty of Social Sciences > Warwick Business School
Library of Congress Subject Headings (LCSH): Bifurcation theory, Differential equations, Nonlinear -- Numerical solutions, Dependence (Statistics), Stochastic difference equations
Series Name: Working papers (Warwick Business School. Financial Econometrics Research Centre)
Publisher: Warwick Business School, Financial Econometrics Research Centre
Place of Publication: Coventry
Date: 7 June 2006
Number: No.06-
Number of Pages: 36
Status: Not Peer Reviewed
Access rights to Published version: Open Access
References: [1] I.S. Abramson, On bandwidth variation in kernel estimates - a square root law, Annals of Statistics 10 (1982), 1217–1223. [2] L. Arnold, Random dynamical systems, Springer, Heidelberg, 1998. [3] L. Cobb, Stochastic catastrophe models and multimodal distributions, Behavioral Science 23 (1978), 360–374. [4] M.A.H. Dempster, I.V. Evstigneev, and K.R. Schenk-Hoppé, Exponential growth of fixed-mix strategies in stationary asset markets, Finance and Stochastics 7 (2003), 263–276. [5] B.A. Dubrovin, A.T. Fomenko, and S.P. Novikov, Modern Geometry — Methods and Applications. Part II: The Geometry and Topology of Manifolds, Graduate Texts in Mathematics, vol. 104, Springer, New York, 1985. [6] M.W. Hirsch, Differential Topology, Graduate Texts in Mathematics, vol. 33, Springer, New York, 1976. [7] P. W. Holland and Y. J. Wang, Dependence function for bivariate densities, Communications in Statistics A 16 (1987), 863–876. [8] M. C. Jones, The local dependence function, Biometrika 83 (1996), 899–904. [9] S. Nadarajah, K. Mitov, and S. Kotz, Local dependence functions for extreme value distributions, Journal of Applied Statistics 30 (2003), 1081–1100. [10] John C. Oxtoby, Measure and category. A survey of the analogies between topological and measure spaces. 2nd ed., Graduate Texts in Mathematics, vol. 2, Springer, 1980. [11] A. Ploeger, H. L. J. van der Maas, and P. Hartelman, Catastrophe Analysis of Switches in the Perception of Apparent Motion, Psychonomic Bulletin & Review 9 (2002), 26–42. [12] G.R. Terrell and D.W. Scott, Variable kernel density estimation, Annals of Statistics 20 (1992), 1236–1265. [13] Ren´e Thom, Structural stability and morphogenesis. An outline of a general theory of models, W. A. Benjamin, Reading, Massachusetts, 1975. [14] E.-J. Wagenmakers, P.C.M. Molenaar, R.P.P.P. Grasman, P.A.I. Hartelman, and H.L.J. van der Maas, Transformation invariant stochastic catastrophe theory, Physica D 211 (2005), 263–267. [15] E.C. Zeeman, Stability of dynamical systems, Nonlinearity 1 (1988), 115–155.
URI: http://wrap.warwick.ac.uk/id/eprint/1754

Request changes to a record

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...
twitter

Email us: publications@warwick.ac.uk
Contact Details
About Us