Tags: Colloquium Series

The Statistics Department hosts weekly colloquia on a variety of statistcal subjects, bringing in speakers from around the world.

TItle: From Raw Responses to Statistical Inference: Preserving Data Integrity in Assessment Modeling Abstract: Modern assessments generate large and complex datasets, but data-quality issues can have important consequences for statistical modeling and inference. In this talk, I will discuss data integrity across the assessment data lifecycle, focusing on how atypical response patterns and other sources of data-quality issues can affect…
Lunch Lecture: From Classical DOE to Online Experimentation at Scale: Challenges, Lessons, and Opportunities Controlled experiments are widely regarded as the gold standard for establishing causal relationships and guiding decision-making. While the core principles of Design of Experiments (DOE) remain fundamental, applying them at the scale of modern online platforms introduces new challenges and opportunities. This lunch lecture…
Abstract: Prototype selection has become a large area of current research in statistical learning. We introduce a novel topological data analysis (TDA)-based framework for selecting representative prototypes from large datasets. We show that this approach preserves classification performance while substantially reducing data size. Such methods are crucial in resource-constrained environments where memory and computation are limited. Together,…
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