Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
TA9 - SM3: Estimation and optimization for services
Time:
Tuesday, 28/June/2022:
TA 8:30-10:00

Session Chair: Lucas Weber
Location: Forum 13


Show help for 'Increase or decrease the abstract text size'
Presentations

Optimal experimental design for staggered rollouts

Ruoxuan Xiong1, Susan Athey2, Mohsen Bayati2, Guido Imbens2

1Emory University; 2Stanford University

We study the problem of designing experiments that are conducted on a set of units, such as users in an online marketplace, for multiple time periods. We first study the optimal design of experiments, to most precisely estimate the instantaneous and lagged effects, post-experiment, when treatment decisions are made before the experiment starts. Next, we study the design of sequential experiments, where adaptive decisions are allowed, and the experiments can potentially be stopped early.



Robust queue inference: consistent estimators from partially observed data

Eojin Han1, Chaithanya Bandi2, Alexej Proskynitopoulos3

1Southern Methodist University, United States of America; 2National University of Singapore, Singapore; 3Northwestern University, United States of America

While observational data from queueing system is of great interest for statistical inference of arrival and service processes, the queueing dynamics and the absence of distributional information render queue estimation remarkably challenging. To this end, we propose a robust optimization based framework for inferring service times from waiting time observations. We provide conditions under which our framework produces statistically consistent estimators and present its managerial insights.



 
Contact and Legal Notice · Contact Address:
Privacy Statement · Conference: MSOM 2022
Conference Software: ConfTool Pro 2.8.101+TC
© 2001–2024 by Dr. H. Weinreich, Hamburg, Germany