New probabilistic representations yield unbiased Monte Carlo estimators for integration by parts and Bismut-Elworthy-Li formulas for one-dimensional killed diffusions.
On the first hitting times of one dimensional elliptic diffusions
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
In this article, we obtain properties of the law associated to the first hitting time of a threshold by a one-dimensional uniformly elliptic diffusion process and to the associated process stopped at the threshold. Our methodology relies on the parametrix method that we apply to the associated Markov semigroup. It allows to obtain explicit expressions for the corresponding transition densities and to study its regularity properties up to the boundary under mild assumptions on the coefficients. As a by product, we also provide Gaussian upper estimates for these laws and derive a probabilistic representation that may be useful for the construction of an unbiased Monte Carlo path simulation method, among other applications.
fields
math.PR 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Integration by parts formula for killed processes: A point of view from approximation theory
New probabilistic representations yield unbiased Monte Carlo estimators for integration by parts and Bismut-Elworthy-Li formulas for one-dimensional killed diffusions.