Colloquium - Frederick Kin Hing Phoa
Institution: Academia Sinica
Title: Optimal Designs for Network Experimentation with Unstructured Treatments
Date: May 15, 2023
Location: C405 Wells Hall, Simulcast to Zoom (Click here for meeting details)
Time: 10:20 AM - 11:10 AM Eastern Time
Abstract:
Experiments on connected units are commonly conducted in many scientific fields. An
experimental unit in these applications may connect with some others, resulting in
possible contamination, termed as network adjustments in this paper, on the responses
of the neighboring units. Designing such experiments is rarely discussed in the literature.
Parker, Gilmour, and Schormans (2017) initiated a study of 𝐴𝑠-optimal designs on connected experimental units with unstructured treatments under
the framework of linear models. Our work investigates a similar design problem, but
we incorporate the network adjustments into the model, which leads to the property
that the responses of two units are correlated if some neighbors of one unit and those
of the other receive the same treatment. Alphabetical optimality criteria are considered
for selecting good designs with high efficiency of estimating treatment effects and/or
high accuracy of quantifying network adjustments.
We provide theoretical conditions for optimal designs and illustrate our theory with
numerical examples using a real network.
Bio:
Dr. Frederick Kin Hing Phoa is a Research Fellow in the Institute of Statistical Science
at Academia Sinica in Taiwan. His research interests include experimental design,
optimization, social network analysis, industrial statistics, and deep learning. He
is also an Adjunct Professor in the Data Science Program at National Taiwan University
in Taiwan. He received his PhD in statistics at UCLA.