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The performance of fast forward-backward splitting, or equivalently fast proximal gradient methods, is susceptible to conditioning of the optimization problem data. This conditioning is related to a m...
We consider the problem of approximation of the solution of the backward stochastic differential equation in the Markovian case. We suppose that the trend coefficient of the diffusion process depends ...
This volume contains presentations from the first invited session on astrostatistics to be held at an International Statistical Institute (ISI) World Statistics Congress. This session was a major mile...
This short note points out two of the incongruences that I findin the Loredo (2012) comments on Andreon (2012), i.e. on my chapter written for the book “Astrostatistical Challenges for the New Astrono...
We formulate a new class of stochastic partial differential equations (SPDEs), named high-order vector backward SPDEs (B-SPDEs) with jumps, which allow the high-order integral-partial differential o...
We prove existence and uniqueness results of the solution for infinite horizon reflected backward stochastic differential equations with one or two barriers. We also apply these results to get the ...
In this paper, we study backward stochastic nonlinear Volterra integral equations. Under a local Lipschitz continuity condition on the drift, we prove the existence and uniqueness result. We also e...
We study convergence of discrete approximations of reflected backward stochastic differential equations with random terminal time in a general convex domain. Applications to investigation of the via...

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