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BEGIN:VEVENT
UID:DSC-3728
DTSTART;TZID=Europe/Berlin:20120911T133000
SEQUENCE:1347348990
TRANSP:OPAQUE
DTEND;TZID=Europe/Berlin:20120911T140000
URL:https://www.dresden-science-calendar.de/calendar/de/detail/3728
LOCATION:MPI-PKS\, Nöthnitzer Straße 3801187 Dresden
SUMMARY:Stimberg: Fast Bayesian inference for poisson processes with changi
 ng rate parameters
CLASS:PUBLIC
DESCRIPTION:Speaker: Florian Stimberg\nInstitute of Speaker: TU Berlin\nTop
 ics:\nPhysik\n Location:\n  Name: MPI-PKS (Seminarroom 1)\n  Street: Nöth
 nitzer Straße 38\n  City: 01187 Dresden\n  Phone: + 49 (0)351 871 0\n  Fa
 x: \nDescription: Poisson processes can be used to model event-time data e
 .g. occurrences of sequence motifs in DNA or neural spike trains. Most int
 eresting are models where the rate of the Poisson process can change. A wi
 dely used variant are Markov modulated Poisson processes where the rate ca
 n jump between a fixed number of states. We propose an efficient MCMC samp
 ler for Bayesian inference in this model and an extension where the number
  of distinct rate values is unknown. Our sampler's performance depends onl
 y minimally on the number of data points and shows a vast improvement over
  current algorithms for data sets where the number of events is high compa
 red to the number of jumps in the rate function.
DTSTAMP:20260420T125704Z
CREATED:20120908T073637Z
LAST-MODIFIED:20120911T073630Z
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