Conducting Non-Adaptive Experiments in a Live Setting: A Bayesian Approach to Determining Optimal Sample Size
Copyright © 2019 ASME. This research studies the use of predetermined experimental plans in a live setting with a finite implementation horizon. In this context, we seek to determine the optimal experimental budget in different environments using a Bayesian framework. We derive theoretical results o...
Main Authors: | Sudarsanam, Nandan, Chandran, Ramya, Frey, Daniel D. |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Mechanical Engineering |
Format: | Article |
Language: | English |
Published: |
ASME International
2021
|
Online Access: | https://hdl.handle.net/1721.1/138011 |
Similar Items
-
Conducting Non-adaptive Experiments in a Live Setting: A Bayesian Approach to Determining Optimal Sample Size
by: Sudarsanam, Nandan, et al.
Published: (2021) -
Ensembles of Adaptive One-Factor at-a-Time experiments : methods, evaluation, and theory
by: Sudarsanam, Nandan, 1981-
Published: (2010) -
Optimal replicates for designed experiments under the online framework
by: Sudarsanam, Nandan, et al.
Published: (2022) -
Quantifying the maximum possible improvement in $$2^{k}$$ 2 k experiments
by: Sudarsanam, Nandan, et al.
Published: (2022) -
Optimal replicates for designed experiments under the online framework
by: Sudarsanam, Nandan, et al.
Published: (2021)