[Forum SIS] Bocconi DEC Statistics Seminar - June 9th

Isadora Antoniano isadora.antoniano a unibocconi.it
Gio 2 Giu 2016 19:52:47 CEST


We are glad to announce the next:



*DEC - Statistics Seminar*

Thursday,
* June 9th*

*Bocconi University,*

Room 3-E4-SR03

Via Rontgen 1 - 3rd floor

Time: *12:30 pm*



*Kerry Mengersen *(Queensland University of Technology)

*"A Principled Experimental Design Approach to Big Data Analysis"*


*Abstract: *

Big Datasets are endemic, but they are often notoriously difficult to
analyse because of their size, complexity, history and quality. The purpose
of this paper is to open a discourse on the use of modern experimental
design methods to analyse Big Data in order to answer particular questions
of interest. By appeal to a range of examples, it is suggested that this
perspective on Big Data modelling and analysis has wide generality and
advantageous inferential and computational properties. In particular, the
principled experimental design approach is shown to provide a flexible
framework for analysis that, for certain classes of objectives and utility
functions, delivers equivalent answers compared with analyses of the full
dataset. It can also provide a formalised method for iterative parameter
estimation, model checking, identification of data gaps and evaluation of
data quality. Finally it has the potential to add value to other Big Data
sampling algorithms, in particular divide-and-conquer strategies, by
determining efficient sub-samples.

with coauthors Christopher Drovandi, Christopher Holmes, James McGree,
Elizabeth Ryan and Silvia Richardson


Kind regards,

Raffaella Piccarreta and Isadora Antoniano



The DEC statistics seminars schedule is available at
http://www.unibocconi.eu/statseminar



*ATTENTION:*

If you are a guest and you do not have a Bocconi ID Card to access to the
Bocconi Buildings, please confirm your participation by sending an email to
simona.gagino a unibocconi.it
In addition, we suggest to print, fill out and send the attached form (to
give your consent to personal data handling) via email to the same address.
In this way, the check-in procedure at the entrance will be faster and
easier.


***************************************************
Isadora Antoniano Villalobos
Assistant Professor
DEC - Department of Decision Sciences,
Bocconi University, via Guglielmo Röntgen 1 (3rd floor, room D1-09). 20136,
Milano.
email: isadora.antoniano a unibocconi.it

Web page: http://faculty.unibocconi.eu/isadoraantonianovillalobos
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