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The MIT Statistics and Data Science Center hosts guest lecturers from around the world in this weekly seminar.

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October 2019

Accurate Simulation-Based Parametric Inference in High Dimensional Settings

October 25, 2019 @ 11:00 am - 12:00 pm

Maria-Pia Victoria-Feser (University of Geneva)

E18-304

Abstract: Accurate estimation and inference in finite sample is important for decision making in many experimental and social fields, especially when the available data are complex, like when they include mixed types of measurements, they are dependent in several ways, there are missing data, outliers, etc. Indeed, the more complex the data (hence the models), the less accurate are asymptotic theory results in finite samples.  This is in particular the case, for example, with logistic regression, with possibly also random effects…

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November 2019

Yudong Chen (Cornell)

November 8, 2019 @ 11:00 am - 12:00 pm

E18-304

TBD

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Lenka Zdeborova (Institut de Physique Théorique, CNRS)

November 15, 2019 @ 11:00 am - 12:00 pm

E18-304

TBD

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Tamara Broderick (MIT)

November 22, 2019 @ 11:00 am - 12:00 pm

E18-304

TBD

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December 2019

Simon Tavaré (Columbia)

December 6, 2019 @ 11:00 am - 12:00 pm

E18-304

TBD

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