
doi: 10.1515/gmj.2001.297
Abstract Set-parametric Brownian motion b in a star-shaped set G is considered when the values of b on the boundary of G are given. Under the conditional distribution given these boundary values the process b becomes some set-parametrics Gaussian process and not Brownian motion. We define the transformation of this Gaussian process into another Brownian motion which can be considered as “martingale part” of the conditional Brownian motion b and the transformation itself can be considered as Doob–Meyer decomposition of b. Some other boundary conditions and, in particular, the case of conditional Brownian motion on the unit square given its values on the whole of its boundary are considered.
innovation process, Generalizations of martingales, Doob-Meyer decomposition, set-parametric Brownian bridge, Applications of operator theory in probability theory and statistics, Volterra operators, Stochastic analysis, Random measures, set-parametric Brownian motion
innovation process, Generalizations of martingales, Doob-Meyer decomposition, set-parametric Brownian bridge, Applications of operator theory in probability theory and statistics, Volterra operators, Stochastic analysis, Random measures, set-parametric Brownian motion
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