Colloquia

2021 Sep 20

Statistics Colloquium: Andrea Saltelli (Open University of Catalonia)

12:00pm to 1:00pm

Location: 

Zoom - please contact emilie_campanelli@fas.harvard.edu for more information

Title:

Sensitivity analysis and its neighbourhoods

Abstract:

Sensitivity analysis may assist modellers from all fields of application to improve the quality of their inference. Sensitivity Analysis is crucial both in the model construction and model interpretation phases, and is considered an important ingredient of model verification and validation.

Sensitivity analysis is the study of how the uncertainty in the output of a mathematical model or system (numerical or otherwise) can be apportioned to different sources of...

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2021 Apr 19

Statistics Colloquium: Alexandre Belloni (Duke University)

10:30am to 11:30am

Location: 

Zoom - please contact emilie_campanelli@fas.harvard.edu for more information

Title:

Subvector Inference in Partially Identified Models with Many Moment Inequalities

Abstract:

In this work we consider bootstrap-based inference methods for functions of the parameter vector in the presence of many moment inequalities where the number of moment inequalities, denoted by p, is possibly much larger than the sample size n. In particular this covers the case of subvector inference, such as the inference on a single component associated with a...

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2021 Apr 05

Statistics Colloquium: Xiaotong Shen (University of Minnesota)

10:30am to 11:30am

Location: 

Zoom - please contact emilie_campanelli@fas.harvard.edu for more information

Title:

Inference for a directed acyclic graphical model with interventions

Abstract:

Consider an inference problem in a directed acyclic graphical model subject to unknown interventions. In this presentation, we will give conditions for multiple unknown interventions to yield an identifiable model. For inference, we identify...

Read more about Statistics Colloquium: Xiaotong Shen (University of Minnesota)

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