This note contains some technical results developed for Kamihigashi and Stachurski (2010). We first consider a stochastic kernel on an arbitrary measurable space and establish some general results. We then introduce a preorder and consider an increasing stochastic kernel. None of our results requires any topological assumption. To make this note self-contained, we include some of the definitions reviewed or discussed in Kamihigashi and Stachurski (2010).
In a recent paper the author used his work in measure and integration to obtain the projective limit...
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International audienceLet $(X_t, Y_t)_{t\in \mathbb{T}}$ be a discrete or continuous-time Markov pro...
The asymptotic of products of general Markov/transition kernels is investigated using Doeblin's coef...
This is a summary of the paper [FHS20]. The main result is the construction of bijections of the thr...
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A technique is developed for proving existence and obtaining bounds for the concentration of a stati...
The theory of monotonicity and duality is developed for general one-dimensional Feller processes, e...
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The existing formulations of the Schr\"{o}dinger interpolating dynamics, which is constrained by the...
A stochastic process that arises by composing a function with a Markov process is called an aggregat...
We provide two applications of an elementary (yet seemingly unknown) probabilistic representation of...
Thesis (M.A.)--Boston University N.B.: Page 3 of Abstract is incorrectly labeled as Page 2. No cont...
AbstractA stochastic matrix is “monotone” [4] if its row-vectors are stochastically increasing. Clos...
AbstractWe study a time-non-homogeneous Markov process which arose from free probability, and which ...
In a recent paper the author used his work in measure and integration to obtain the projective limit...
This is a summary of the paper [FHS20]. The main result is the construction of bijections of the thr...
International audienceLet $(X_t, Y_t)_{t\in \mathbb{T}}$ be a discrete or continuous-time Markov pro...
The asymptotic of products of general Markov/transition kernels is investigated using Doeblin's coef...
This is a summary of the paper [FHS20]. The main result is the construction of bijections of the thr...
22ppInternational audienceThis survey will appear as a chapter of the forthcoming book [19]. A U-sta...
A technique is developed for proving existence and obtaining bounds for the concentration of a stati...
The theory of monotonicity and duality is developed for general one-dimensional Feller processes, e...
"This comprehensive guide to stochastic processes gives a complete overview of the theory and addres...
The existing formulations of the Schr\"{o}dinger interpolating dynamics, which is constrained by the...
A stochastic process that arises by composing a function with a Markov process is called an aggregat...
We provide two applications of an elementary (yet seemingly unknown) probabilistic representation of...
Thesis (M.A.)--Boston University N.B.: Page 3 of Abstract is incorrectly labeled as Page 2. No cont...
AbstractA stochastic matrix is “monotone” [4] if its row-vectors are stochastically increasing. Clos...
AbstractWe study a time-non-homogeneous Markov process which arose from free probability, and which ...
In a recent paper the author used his work in measure and integration to obtain the projective limit...
This is a summary of the paper [FHS20]. The main result is the construction of bijections of the thr...
International audienceLet $(X_t, Y_t)_{t\in \mathbb{T}}$ be a discrete or continuous-time Markov pro...