Optimal control with partial information for stochastic Volterra equations.
Removable singularities for H... and for analytic functions with bounded Dirichlet integral.
Dirichlet forms, quasiregular functions and Brownian motion.
R(X) as a Dirichlet Algebra and Representation of Orthogonal Measures by Differentials.
The solution of a minimax problem connected to the irreducibility of polynominals.
A maximum principle approach to risk indifference pricing with partial information.
Stochastic harmonic morphisms : functions mapping the paths of one diffusion into the paths of another
We give several necessary and sufficient conditions that a function maps the paths of one diffusion into the paths of another. One of these conditions is that is a harmonic morphism between the associated harmonic spaces. Another condition constitutes an extension of a result of P. Lévy about conformal invariance of Brownian motion. The third condition implies that two diffusions with the same hitting distributions differ only by a chance of time scale. We also obtain a converse of the above...
Optimal stopping with advanced information flow: selected examples
We study optimal stopping problems for some functionals of Brownian motion in the case when the decision whether or not to stop before (or at) time t is allowed to be based on the δ-advanced information , where is the σ-algebra generated by Brownian motion up to time s, s ≥ -δ, δ > 0 being a fixed constant. Our approach involves the forward integral and the Malliavin calculus for Brownian motion.
The Donsker delta function of a Lévy process with application to chaos expansion of local time
A characterization of harmonic measure and Markov processes whose hitting distributions are preserved by rotations translations and dilatations
The exit distribution for open sets of a path-continuous, strong Markov process in is characterized as a weak star limit of successive spherical sweepings of measures, starting with the unit point mass. Then this is used to prove that two path-continuous strong Markov processes with identical exit distributions from balls when starting form the center, have identical exit distributions from all opens sets, provided they both exit a.s. from bounded sets. This implies that the only path-continuous,...
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