[Forum SIS] DEC Seminar - October 9th
Raffaella Piccarreta
raffaella.piccarreta a unibocconi.it
Gio 2 Ott 2014 01:37:58 CEST
Dear all,
we are glad to announce the following seminar
DEC - Statistics Seminar
Universitā Bocconi,
Room 3-E4-SR03
Via Rontgen 1 - 3rd floor
Time: 12:30pm
( The DEC seminar schedule is available at http://www.unibocconi.eu/statseminar )
Thursday, October 9th
Steven Scott
(Google)
"Bayes and Big Data: The Consensus Monte Carlo Algorithm"
Abstract
A useful definition of “big data” is data that is too big to comfortably process on a single machine, either because of processor, memory, or disk bottlenecks. Graphics processing units can alleviate the processor bottleneck, but memory or disk bottlenecks can only be eliminated by splitting data across multiple machines. Communication between large numbers of machines is expensive (regardless of the amount of data being communicated), so there is a need for algorithms that perform distributed approximate Bayesian analyses with minimal communication. Consensus Monte Carlo operates by running a separate Monte Carlo algorithm on each machine, and then averaging individual Monte Carlo draws across machines. Depending on the model, the resulting draws can be nearly indistinguishable from the draws that would have been obtained by running a single machine algorithm for a very long time. Examples of consensus Monte Carlo are shown for simple models where single-machine solutions are available, for large single-layer hierarchical models, and for Bayesian additive regression trees (BART).
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Elisa Picassi
Department of Decision Sciences
Bocconi University
Via Röntgen 1
3rd floor - room D208
20136 Milano, Italy
T: +39 02 5836.5632
F: +39 02 5836.5630
E: elisa.picassi a unibocconi.it
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
--
***************************************************
Raffaella Piccarreta
DEC - Department of Decision Sciences,
Universita' L.Bocconi, via Guglielmo Röntgen 1 (3rd floor, room D1-09). 20136, Milano.
email: piccarreta a unibocconi.it
tel. +39-02-58365659 / fax +39-02-58365630
Web page (ENGLISH VERSION): http://faculty.unibocconi.eu/raffaellapiccarreta/
(ITALIAN VERSION): http://faculty.unibocconi.it/raffaellapiccarreta/
***************************************************
-------------- parte successiva --------------
Un allegato HTML č stato rimosso...
URL: <http://www.stat.unipg.it/pipermail/sis/attachments/20141002/2821b4fb/attachment-0001.html>
-------------- parte successiva --------------
Un allegato non testuale č stato rimosso....
Nome: S. Scott 09.10.14.pdf
Tipo: application/pdf
Dimensione: 42605 bytes
Descrizione: non disponibile
URL: <http://www.stat.unipg.it/pipermail/sis/attachments/20141002/2821b4fb/attachment-0001.pdf>
Maggiori informazioni sulla lista
Sis