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MIT Stochastics and Statistics Seminar

MIT Stochastics and Statistics Seminar. For organizational matters, or to be added to the mailing list, please contact Patrick Eschenfeldt. Harvard University) 32-124, 11-12. Harvard University) 32-124, 11-12. Pompeu Fabra University) 32-124, 11-12. University of Chicago) 32-124, 11-12. University of Wisconsin) 32-124, 11-12. Stanford University) 32-124, 11-12. University of Michigan) 32-124, 11-12. University of Texas at Austin) 32-124, 11-12. Harvard University) 32-124, 11-12. MIT Sloan) 32-124, 11-12.

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MIT Stochastics and Statistics Seminar | stoch-appl.mit.edu Reviews

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MIT Stochastics and Statistics Seminar. For organizational matters, or to be added to the mailing list, please contact Patrick Eschenfeldt. Harvard University) 32-124, 11-12. Harvard University) 32-124, 11-12. Pompeu Fabra University) 32-124, 11-12. University of Chicago) 32-124, 11-12. University of Wisconsin) 32-124, 11-12. Stanford University) 32-124, 11-12. University of Michigan) 32-124, 11-12. University of Texas at Austin) 32-124, 11-12. Harvard University) 32-124, 11-12. MIT Sloan) 32-124, 11-12.

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2 victor chernozhukov

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4 phillipe rigollet

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MIT Stochastics and Statistics Seminar | stoch-appl.mit.edu Reviews

https://stoch-appl.mit.edu

MIT Stochastics and Statistics Seminar. For organizational matters, or to be added to the mailing list, please contact Patrick Eschenfeldt. Harvard University) 32-124, 11-12. Harvard University) 32-124, 11-12. Pompeu Fabra University) 32-124, 11-12. University of Chicago) 32-124, 11-12. University of Wisconsin) 32-124, 11-12. Stanford University) 32-124, 11-12. University of Michigan) 32-124, 11-12. University of Texas at Austin) 32-124, 11-12. Harvard University) 32-124, 11-12. MIT Sloan) 32-124, 11-12.

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MIT Stochastics and Statistics Seminar

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MIT Stochastics and Statistics Seminar. For organizational matters, or to be added to the mailing list, please contact Lizzie Raymer. UC Berkeley) 32-141, 11-12. Efficient Optimal Strategies for Universal Prediction. Harvard University) 32-141, 11-12. Next Generation Missing Data Methodology. Harvard University) 32-141, 11-12. Minimax Estimation of Nonlinear Functionals with Higher Order Influence Functions: Results and Applications. Harvard University) 32-141, 11-12. University of Chicago) 32-141, 11-12.

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stat.mit.edu

Event | Non-classical Berry-Esseen inequality and accuracy of the weighted bootstrap. | MIT Center for Statistics

https://stat.mit.edu/events/mayya-zhilova-ga-tech

Stochastics and Statistics Seminar. Stochastics and Statistics Seminar. LIDS and Stats Tea. To join our events community and receive email about upcoming events, please subscribe to our mailing list. Non-classical Berry-Esseen inequality and accuracy of the weighted bootstrap. February 03, 2017. MIT Statistics Data Science Center. Stochastics and Statistics Seminars.

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Event | Causal Discovery in Systems with Feedback Cycles | MIT Center for Statistics

https://stat.mit.edu/events/frederick-eberhart-caltech

Stochastics and Statistics Seminar. Stochastics and Statistics Seminar. LIDS and Stats Tea. To join our events community and receive email about upcoming events, please subscribe to our mailing list. Causal Discovery in Systems with Feedback Cycles. February 17, 2017. Frederick Eberhardt is Professor of Philosophy at Caltech. His primary research focus is on methods for causal discovery from statistical data, the use of experiments in causal discovery, the integration of causal inferences from differ...

stat.mit.edu

Stochastics and Statistics Seminar Archives | MIT Center for Statistics

http://stat.mit.edu/seminar_types/stoch-stat

Stochastics and Statistics Seminar. LIDS and Stats Tea. To join our events community and receive email about upcoming events, please subscribe to our mailing list. Stochastics and Statistics Seminar. Jonas Peters (Univ. of Copenhagen). May 12, 2017 11:00am E18-304. May 05, 2017 11:00am E18-304. April 28, 2017 11:00am E18-304. Sequential Selection — Meeting Ground of Martingales and Dynamic Programming. April 21, 2017 11:00am 34-401 Grier Room. Active learning with seed examples and search queries.

stat.mit.edu

Event | Slope meets Lasso in sparse linear regression | MIT Center for Statistics

https://stat.mit.edu/events/pierre-bellec

Stochastics and Statistics Seminar. Stochastics and Statistics Seminar. LIDS and Stats Tea. To join our events community and receive email about upcoming events, please subscribe to our mailing list. Slope meets Lasso in sparse linear regression. February 10, 2017. We will present results in sparse linear regression on two convex regularized. Estimators, the Lasso and the recently introduced Slope estimator, in the. High-dimensional setting where the number of covariates p is larger than the.

stat.mit.edu

Events | MIT Center for Statistics

http://stat.mit.edu/events

Stochastics and Statistics Seminar. LIDS and Stats Tea. To join our events community and receive email about upcoming events, please subscribe to our mailing list. Jonas Peters (Univ. of Copenhagen). May 12, 2017 11:00am E18-304. May 05, 2017 11:00am E18-304. April 28, 2017 11:00am E18-304. Sequential Selection — Meeting Ground of Martingales and Dynamic Programming. April 21, 2017 11:00am 34-401 Grier Room. SDSCon 2017 – Statistics and Data Science Center Day. April 21, 2017 8:00am 34-401.

stat.mit.edu

Event | Estimating the number of connected components of large graphs based on subgraph sampling | MIT Center for Statistics

https://stat.mit.edu/events/yihong-wu-yale

Stochastics and Statistics Seminar. Stochastics and Statistics Seminar. LIDS and Stats Tea. To join our events community and receive email about upcoming events, please subscribe to our mailing list. Estimating the number of connected components of large graphs based on subgraph sampling. February 24, 2017. MIT Statistics Data Science Center. Stochastics and Statistics Seminars.

stat.mit.edu

IDSS Distinguished Seminars Archives | MIT Center for Statistics

http://stat.mit.edu/seminar_types/idss-distinguished-seminars

Stochastics and Statistics Seminar. LIDS and Stats Tea. To join our events community and receive email about upcoming events, please subscribe to our mailing list. MIT Statistics Data Science Center. Stochastics and Statistics Seminars.

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