[ABE-L] The role of Statistics in the era of big data + ISBA 2018

[Hedibert Lopes]

Dear all,

Starts today (right now, actually) the 2018 World Meeting of the
International Society of Bayesian Analysis (ISBA2018) with many very
interesting sessions

https://bayesian.org/isba2018/Program/

A few sessions related to big data, machine learning:
Bayes, Machine Learning and Deep Learning
Lassos and horseshoes for the sparse Bayesian cowboy
Bayesian dynamic modeling for forecasting high-dimensional time series
Recent advances in tree based Bayesian inference, Science Theory and
methodology
Bayesian methods for large and complex data

The theme appears in the whole May 2018 issue of Statistics and Probability
Letters:
The role of Statistics in the era of big data
Statistics and Probability Letters
Edited by Laura Sangalli
Volume 136, Pages 1-170 (May 2018)
https://www.sciencedirect.com/journal/statistics-and-probability-letters/vol/136/suppl/C

Finally, I list a few interesting conferences on
Forecasting/Econometrics/Causality in the large data, rich-environment
context:


   - 10th ECB Workshop on Forecasting Techniques: Economic Forecasting with
   Large Datasets
   <http://www.ecb.europa.eu/pub/conferences/html/20180618_10th_ecb_workshop_forecasting.en.html>
   The European Central Bank (ECB), Frankfurt, June 18-19 2018.
   - Machine Learning and Econometrics
   <https://www.ifs.org.uk/uploads/cemmap%20Turing%20Workshop%20Programme.pdf>
   A cemmap Workshop jointly funded by The Alan Turing Institute, June 8-9
   2018.
   - Econometrics in the Castle: Machine Learning in Economics and
   Econometrics
   <http://www.mea.mpisoc.mpg.de/fileadmin/files/Lehre/Empirical_Economics_Workshop/Workshop_Programme_Participants_final_extern.pdf>
   Munich, Germany May 29-30 2018.
   - 2018 NBER-NSF Seminar on Bayesian Inference in Eonometrics and
   Statistics (SBIES)
   <https://apps.olin.wustl.edu/conf/SBIES/Home/Default.aspx?pid=4>
   Department of Economics, Stanford University, May 25-26 2018.
   - Big Data in Predictive Dynamic Econometric Modeling
   <https://www.sas.upenn.edu/~fdiebold/Warren2017/Main.html>
   University of Pennsylvania, May 18-19 2017.
   - Drawing Causal Inference from Big Data
   <http://www.nasonline.org/programs/sackler-colloquia/completed_colloquia/Big-data.html>
   National Academy of Sciences , March 26-27 2015.


Enjoy your week,
Hedibert
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