[Sds-seminars] ROOM CHANGE: to YINS (328 of 17 HLH) S&DS Talk, Speaker: Yixin Wang, 02/17, "The Blessings of Multiple Causes"

[Dan Spielman]

This talk has been moved to YINS: room 328 of 17 HLH.

  —Dan




>
> ---------- Forwarded message ---------
> From: <elizavette.torres at yale.edu>
> Date: Wed, Feb 12, 2020 at 1:17 PM
> Subject: [Statseminars] S&DS Talk, Speaker: Yixin Wang, 02/17, "The
> Blessings of Multiple Causes", DL220
> To: <Statseminars at mailman.yale.edu>, <sds-majors at mailman.yale.edu>
>
>
> [image: Department of Statistics and Data Science]
> <https://statistics.yale.edu/>*   Monday, February 17, 2020 – Statistics
> and Data Science Seminar  *
>
> Featured Speaker: Yixin Wang, Columbia University
>
> DATE: Monday, February 17, 2020
>
> TIME: 4:00PM to 5:00PM
>
> LOCATION: YINS — 328 of 17 Hillhouse
>
> https://statistics.yale.edu/seminars/yixin-wang
>
>
>
> *The Blessings of Multiple Causes*
>
>
>
> *Information and Abstract: *Causal inference from observational data is a
> vital problem, but it comes with strong assumptions. Most methods assume
> that we observe all confounders, variables that affect both the causal
> variables and the outcome variables. But whether we have observed all
> confounders is a famously untestable assumption. We describe the
> deconfounder, a way to do causal inference from observational data allowing
> for unobserved confounding.
>
> How does the deconfounder work? The deconfounder is designed for problems
> of multiple causal inferences: scientific studies that involve many causes
> whose effects are simultaneously of interest. The deconfounder uses the
> correlation among causes as evidence for unobserved confounders, combining
> unsupervised machine learning and predictive model checking to perform
> causal inference. We study the theoretical requirements for the
> deconfounder to provide unbiased causal estimates, along with its
> limitations and tradeoffs. We demonstrate the deconfounder on real-world
> data and simulation studies.
>
>
>
> 3:45 p.m.   Pre-talk tea also at YINS: room 328 of 17 Hillhouse
>
> For more details and upcoming events visit our website at
> http://statistics.yale.edu/ .
>
>
>
>
> --
Sent from mobile phone
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