Abstract Details
Activity Number:
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467
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Type:
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Invited
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Date/Time:
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Wednesday, August 12, 2015 : 8:30 AM to 10:20 AM
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Sponsor:
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IMS
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Abstract #314489
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Title:
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MCMC Methods for Inference with High-Dimensional SDEs
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Author(s):
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Omiros Papaspiliopoulos*
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Companies:
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ICREA-UPF
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Keywords:
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hypo-elliptic SDEs ;
Markov chain Monte Carlo ;
implicit discretizations ;
statistical learning
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Abstract:
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Markov chain Monte Carlo methods are extensively used for learning partially observed high-dimensional SDEs from low-dimensional observations. In this talk we will focus on recent approaches for learning parameters of hypoelliptic diffusions from discrete observations with applications geared towards single neuron modelling in Neuroscience. This is based on joint work with Susanne Ditlevsen, Anders Jensen (Copenhagen) and Adeline Leclercq Samson (Grenoble)
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Authors who are presenting talks have a * after their name.
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