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Dynamic Programming, Maximum P...
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Has dynamic programming improved decision making?
Rust, John
- In:
Annual review of economics
11
(
2019
),
pp. 833-858
Persistent link: https://www.econbiz.de/10012623842
Saved in:
2
A unified framework for stochastic optimization
Powell, Warren B.
- In:
European journal of operational research : EJOR
275
(
2019
)
3
,
pp. 795-821
Persistent link: https://www.econbiz.de/10011993597
Saved in:
3
A survey of contextual optimization methods for decision making under uncertainty
Sadana, Utsav
;
Chenreddy, Abhilash
;
Delage, Erick
; …
-
2023
Persistent link: https://www.econbiz.de/10014304851
Saved in:
4
Bayesian sequential learning for clinical trials of multiple correlated medical interventions
Chick, Stephen E.
;
Gans, Noah
;
Yapar, Ozge
-
2020
-
Revised version of 2018/20/TOM/ACGRE
Persistent link: https://www.econbiz.de/10012299936
Saved in:
5
Bayesian sequential learning for clinical trials of multiple orrelated medical interventions
Chick, Stephen E.
;
Gans, Noah
;
Yapar, Ozge
-
2018
Persistent link: https://www.econbiz.de/10012042417
Saved in:
6
Bayesian sequential learning for clinical trials of multiple correlated medical interventions
Chick, Stephen E.
;
Gans, Noah
;
Yapar, Özge
- In:
Management science : journal of the Institute for …
68
(
2022
)
7
,
pp. 4919-4938
Persistent link: https://www.econbiz.de/10013369238
Saved in:
7
Bayesian estimation of dynamic discrete choice models
Imai, Susumu
(
contributor
);
Jain, Neelam
(
contributor
); …
-
2006
Persistent link: https://www.econbiz.de/10003412464
Saved in:
8
Bayesian estimation of dynamic discrete choice models
Imai, Susumu
;
Jain, Neelam
;
Ching, Andrew
- In:
Econometrica : journal of the Econometric Society, an …
77
(
2009
)
6
,
pp. 1865-1899
Persistent link: https://www.econbiz.de/10003943433
Saved in:
9
Massively parallel computation using graphics processors with application to optimal experimentation in dynamic control
Morozov, Sergei
;
Mathur, Sudhanshu
- In:
Computational economics
40
(
2012
)
2
,
pp. 151-182
Persistent link: https://www.econbiz.de/10009627475
Saved in:
10
An approximate dynamic programming framework for modeling global climate policy under decision-dependent uncertainty
Webster, Mort
;
Santen, Nidhi
;
Parpas, Panos
- In:
Computational Management Science : CMS
9
(
2012
)
3
,
pp. 339-362
Persistent link: https://www.econbiz.de/10009582634
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