[Statlist] Research seminar in statistics May 13th 2016, GSEM University of Geneva

[Karen Longden Roure]

Dear All,

We are pleased to invite you to our next Research Seminar -

Looking forward to seeing you

Organisers :
E. Cantoni - D. La Vecchia - E. Ronchetti -
S. Sperlich - F. Trojani - M.-P. Victoria-Feser

Friday May 13th 2016, at 11h15, Uni-Mail M5220

Bridge Simulation and Estimation for Multivariate Stochastic Differential Equations
Michael Sorensen, University of Copenhagen

ABSTRACT:
New simple methods of simulating multivariate diffusion bridges are presented. Diffusion bridge simulation plays a fundamental role in simulation-based likelihood inference for stochastic differential equations. By a novel application of classical coupling methods, the new approach generalizes the one-dimensional bridge-simulation method proposed by Bladt and S�rensen (2014) to the multivariate setting. A method of simulating approximate, but often very accurate, diffusion bridges is proposed. These approximate bridges are used as proposal for easily implementable MCMC algorithms that produce exact diffusion bridges. The new method is more generally applicable than previous methods because it does not require the existence of a Lamperti transformation, which rarely exists for multivariate diffusions. Another advantage is that the new method works well for diffusion bridges in long intervals because the computational complexity of the method is linear in the length of the interval. The usefulness of the new method is illustrated by an application to Bayesian estimation for the multivariate hyperbolic diffusion model.

The lecture is based on joint work presented in Bladt, Finch and S�rensen (2015).

References:

Bladt, M. and S�rensen, M. (2014): Simple simulation of diffusion bridges with application to likelihood inference for diffusions. Bernoulli, 20, 645-675.

Bladt, M., Finch, S. and S�rensen, M. (2015): Simulation of multivariate diffusion bridges. To appear in J. Roy. Statist. Soc., Ser. B, DOI: 10.1111/rssb.12118.

Visit the website: http://www.stat-center.unige.ch/ressem.html


Karen Longden
Program Coordinator
MSc. in Management, MSc. in Economics, MSc. in Statistics
Universit� de Gen�ve, Uni-Mail
Facult� d'Economie & Management, GSEM
40, bd. du Pont d'Arve, 1211 Gen�ve 4
T�l:  +41.22.379.8109 (10h-14h)


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