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10:00am |
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11:00am |
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12:00pm |
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1:00pm |
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3:00pm |
[3:00pm] Prof. Alexander Volfovsky Department of Statistical Sciences Duke University
- Description:
- Speaker: Prof. Alexander Volfovsky
Department of Statistical Sciences
Duke University
Date and Time: Thursday, 11/10/2018, 3:00 pm -- 4:00 pm
Venue: Ramanujan Hall
Title: Design of experiments for networks with interference
Abstract: Randomized experiments have long been considered to be a gold standard for causal inference. The classical analysis of randomized experiments was developed under simplifying assumptions such as homogeneous treatment effects and no treatment interference leading to theoretical guarantees about the estimators of causal effects. In modern settings where experiments are commonly run on online networks (such as Facebook) or when studying naturally networked phenomena (such as vaccine efficacy) standard randomization schemes do not exhibit the same theoretical properties. To address these issues we develop a randomization scheme that is able to take into account violations of the no interference and no homophily assumptions. Under this scheme, we demonstrate the existence of unbiased estimators with bounded variance. We also provide a simplified and much more computationally tractable randomized design which leads to asymptotically consistent estimators of direct treatment effects under both dense and sparse network regimes.
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4:00pm |
[4:00pm] Vivek Tewary
- Description:
- Title: Bloch Wave Homogenization of Almost Periodic Operators
Speaker: Vivek Tewary, PhD student, Department of Mathematics, IIT Bombay,
Time: 4 p.m.- 5p.m., 11-10-18, Thursday.
Venue: Room 215, Department of Mathematics
Abstract: Bloch wave homogenization is a spectral method for obtaining
effective coefficients for periodically heterogeneous media. This method
hinges on the direct integral decomposition of periodic operators, which
is not available in a suitable form for almost periodic operators. In
particular, the notion of Bloch eigenvalues and eigenvectors does not
exist for almost periodic operators. However, we are able to recover the
homogenization result in this case, by employing a sequence of periodic
approximations to the almost periodic operator.
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5:00pm |
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