[builds-list] 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 19 13:22:18 EST 2014


Reminder

2014-02-21 1000-1730 GMT-5
PHO 9th floor
5 talks, 1 panel discussion

*Revisiting the Foundations of Statistics in the Era of Big Data:  *
*Scaling Up to Meet the Challenge
<https://mail.google.com/mail/u/0/?shva=1#1442773cbfba7e9f_14426d49887be6bc__edn1>*

On Wed, Feb 12, 2014 at 1:55 PM, Kenshin Maybe <
algorithmicascension at gmail.com> wrote:

> 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]
> <#1442773cbfba7e9f_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 Institute
>
>
> *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] <#1442773cbfba7e9f_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
> http://math.bu.edu/people/kspiliop/
> Tel:617-353-5209
>  ------------------------------
>
>
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