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pro vyhledávání: '"Adusumilli, Karun"'
Autor:
Adusumilli, Karun
Recent years have seen tremendous advances in the theory and application of sequential experiments. While these experiments are not always designed with hypothesis testing in mind, researchers may still be interested in performing tests after the exp
Externí odkaz:
http://arxiv.org/abs/2305.00403
Autor:
Adusumilli, Karun
The aim of this paper is to develop techniques for incorporating the cost of information into experimental design. Specifically, we study sequential experiments where sampling is costly and a decision-maker aims to determine the best treatment for fu
Externí odkaz:
http://arxiv.org/abs/2210.15841
Autor:
Adusumilli, Karun
This note describes the optimal policy rule, according to the local asymptotic minimax regret criterion, for best arm identification when there are only two treatments. It is shown that the optimal sampling rule is the Neyman allocation, which alloca
Externí odkaz:
http://arxiv.org/abs/2204.05527
Autor:
Adusumilli, Karun
We provide a decision theoretic analysis of bandit experiments under local asymptotics. Working within the framework of diffusion processes, we define suitable notions of asymptotic Bayes and minimax risk for these experiments. For normally distribut
Externí odkaz:
http://arxiv.org/abs/2112.06363
Autor:
Adusumilli, Karun
This thesis contains three essays on inference in econometric models. Chapter 1 considers the question of bootstrap inference for Propensity Score Matching. Propensity Score Matching, where the propensity scores are estimated in a first step, is wide
Externí odkaz:
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.755847
Autor:
Adusumilli, Karun, Eckardt, Dita
We study the use of Temporal-Difference learning for estimating the structural parameters in dynamic discrete choice models. Our algorithms are based on the conditional choice probability approach but use functional approximations to estimate various
Externí odkaz:
http://arxiv.org/abs/1912.09509
Dynamic decisions are pivotal to economic policy making. We show how existing evidence from randomized control trials can be utilized to guide personalized decisions in challenging dynamic environments with budget and capacity constraints. Recent adv
Externí odkaz:
http://arxiv.org/abs/1904.01047
Publikováno v:
In Journal of Econometrics March 2020 215(1):131-164
Autor:
Adusumilli, Karun, Otsu, Taisuke
Publikováno v:
Econometric Theory, 2018 Dec 01. 34(6), 1256-1280.
Externí odkaz:
https://www.jstor.org/stable/26613607
Publikováno v:
NBER Working Papers; Apr2024, Issue 32282-32376, p1-53, 54p