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Exact simulation for solutions of one-dimensional Stochastic Differential Equations with discontinuous drift

Pierre ÉtoréMiguel Martinez — 2014

ESAIM: Probability and Statistics

In this note we propose an exact simulation algorithm for the solution of (1) d X t = d W t + b ¯ ( X t ) d t , X 0 = x , d X t = d W t + b̅ ( X t ) d t,   X 0 = x, where b ¯ is a smooth real function except at point 0 where b ¯ ( 0 + ) b ¯ ( 0 - ) (0 + ) ≠ (0 −) . The main idea is to sample an exact skeleton of Xusing an algorithm deduced from the convergence of the solutions of the skew perturbed...

A Donsker theorem to simulate one-dimensional processes with measurable coefficients

Pierre ÉtoréAntoine Lejay — 2007

ESAIM: Probability and Statistics

In this paper, we prove a Donsker theorem for one-dimensional processes generated by an operator with measurable coefficients. We construct a random walk on any grid on the state space, using the transition probabilities of the approximated process, and the conditional average times it spends on each cell of the grid. Indeed we can compute these quantities by solving some suitable elliptic PDE problems.

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