Finite population regression adjustment and non-asymptotic guarantees for treatment effect estimation

M Ghadiri, D Arbour, T Mai… - Advances in Neural …, 2024 - proceedings.neurips.cc
The design and analysis of randomized experiments is fundamental to many areas, from the
physical and social sciences to industrial settings. Regression adjustment is a popular …

Experimental design for multi-channel imaging via task-driven feature selection

SB Blumberg, PJ Slator… - The Twelfth International …, 2024 - openreview.net
This paper presents a data-driven, task-specific paradigm for experimental design, to
shorten acquisition time, reduce costs, and accelerate the deployment of imaging devices …

Heteroscedasticity-aware stratified sampling to improve uplift modeling

B Bokelmann, S Lessmann - arXiv preprint arXiv:2401.14294, 2024 - arxiv.org
In many business applications, including online marketing and customer churn prevention,
randomized controlled trials (RCT's) are conducted to investigate on the effect of specific …

Statistical approaches to enhance decision support in time series and causality problems

B Bokelmann - 2024 - edoc.hu-berlin.de
Prädiktive Modelle sind hilfreiche Mittel zur quantitativen Entscheidungsunterstützung von
modernen Unternehmen. Jedoch gibt es in vielen Fällen statistische Probleme in den …

[PDF][PDF] Balancing Precision and Retention in Experimental Design

G Diaz, EL Rossiter - 2024 - gustavodiaz.org
In experimental social science, precise treatment effect estimation is of utmost importance,
and researchers can make design choices to increase precision. Specifically, block …