[builds-list] Fwd: February 21, 2014 Colloquium: Revisiting the Foundations of Statistics in the Era of Big Data: Scaling Up to Meet the Challenge

Kenshin Maybe algorithmicascension at gmail.com
Wed Feb 12 13:55:04 EST 2014

Sounds interesting. I will can only make the afternoon session. Please
speak up if you plan to attend.

---------- Forwarded message ----------
From: Spiliopoulos, Konstantinos <kspiliop at bu.edu>
Date: Wed, Feb 12, 2014 at 10:58 AM
Subject: February 21, 2014 Colloquium: Revisiting the Foundations of
Statistics in the Era of Big Data: Scaling Up to Meet the Challenge
To: "prob-sem at math.bu.edu" <prob-sem at math.bu.edu>, "stat-seminar at math.bu.edu"
<stat-seminar at math.bu.edu>

 Dear all,

   This is an announcement for a special day-long statistics event taking
place at BU on Friday the 21st (next week). Details follow below.

 *Revisiting the Foundations of Statistics in the Era of Big Data:  *

*Scaling Up to Meet the Challenge[i] <#14426d49887be6bc__edn1>*

 The era of so-called `big data' is upon us.  Our ability to collect data
of increasingly massive proportions, in areas ranging from biology, to
astronomy and particle physics, to business and finance, continues to grow,
seemingly unabated.  At the same time, there is the expectation that we be
able to analyze such data - and make informed decisions and inferences
therefrom - with ever-greater speed.  Ultimately, however, in order to
trust the information upon which we base decisions, the analysis of `big
data' must rest upon firm statistical foundations.  Yet much of the
classical foundations of statistics, pertaining to topics like sampling,
experimental design, testing, and estimation, for example, were laid 50 to
100 years ago.  The aim of this colloquium is to bring together
statisticians, scientists, and philosophers of science to revisit the
foundations of statistics and, in doing so, examine both what the classical
foundations have to say about challenges inherent to `big data', and,
conversely, what pressures these challenges exert towards encouraging new
developments in the foundations.

 Friday, February 21, 2014

10am - 5:30pm

Photonics Center, 9th Floor Colloquium Room

8 St. Mary's Street, Room 906

10am -12pm

*Computational Challenges in Genomic Medicine  (10am-11am) *

            Jill Mesirov   Computational Biology and Bioinformatics, Broad

*Selection, Significance, and Signification: Issues in High Energy Physics
(11am-noon) *

            Kent Staley   Philosophy, Saint Louis University

1:30pm - 5:30pm

*Multi-Resolution Inference: An Engineering (Engineered?) *

*Foundation of Statistical Inference  (1:30-2:30pm) *

            Xiao-Li Meng   Statistics, Harvard University

*Is the Philosophy of Probabilism an Obstacle to Statistical Fraud
Busting?  (2:30-3:30pm) *

            Deborah Mayo   Philosophy, Virginia Tech

*Targeted Learning from Big Data (3:30-4:30pm)*

Mark van der Laan   Biostatistics and Statistics, UC Berkeley

*Panel Discussion  (4:30-5:30pm) *


[i] <#14426d49887be6bc__ednref1> Co-sponsored by the Center for Philosophy
and History of Science and the Department of Mathematics & Statistics at
Boston University.  All CPHS Events are free and open to the public.

Konstantinos Spiliopoulos
Assistant Professor
Boston University
Department of Mathematics & Statistics
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