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SUMMARY:The ABCs of estimating Gaussians with structured precision matrice
 s: information theory meets coarse grain modelling of nucleic acids - John
  H. Maddocks (EPFL - Ecole Polytechnique Fédérale de Lausanne)
DTSTART:20230731T123000Z
DTEND:20230731T133000Z
UID:TALK202393@talks.cam.ac.uk
DESCRIPTION:The Ascona B-DNA Consortium (or ABC) has generated very large 
 data sets of molecular dynamics simulations of double stranded nucleic aci
 ds (or dsNA). Predictive Gaussian coarse-grain sequence-dependent models o
 f dsNA can then be parametrised by fitting to statistics drawn from this t
 raining set data using Kullback-Leibler divergence (or relative entropy) a
 s objective function. However the precision\, or stiffness\, matrices in t
 hese Gaussian models have very particular structures arising from the spec
 ifics of the application\, e.g. block bandedness. I will focus on describi
 ng special features of the parameter fitting process for such structured G
 aussians\, which seem to be of interest beyond the specific application.
LOCATION:Seminar Room 1\, Newton Institute
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