Apr 28, 2021 · We focus on estimating a nonparametric choice model from observational data in a dynamic setting, where observations are obtained over time.
Feb 19, 2017 · We study non-parametric estimation of choice models, which were introduced to alleviate unreasonable assumptions in traditional parametric models.
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We study nonparametric estimation of choice models, which was introduced to alleviate unreasonable assumptions in traditional parametric models and is prevalent ...
Choice models are prevalent in several application areas, and their nonparametric estimation was introduced to alleviate unreasonable assumptions in ...
Title. Technical Note—Dynamic Data-Driven Estimation of Nonparametric Choice Models. Authors. Ho-Nguyen, Nam; Kılınç-Karzan, Fatma. Abstract. Choice models ...
Feb 24, 2017 · We focus on estimating a non-parametric choice model from observational data in a dynamic setting, where observations are obtained over time.
Missing: Note - | Show results with:Note -
By tailoring this framework carefully to the choice model estimation problem, they provide low-cost algorithms that come with provable convergence guarantees, ...
Missing: Note - | Show results with:Note -
Choice models are prevalent in several application areas, and their nonparametric estimation was introduced to alleviate unreasonable assumptions in traditional ...
Dynamic Data-Driven Estimation of Nonparametric Choice Models
pubsonline.informs.org › opre.2020.2077
Apr 28, 2021 · In this paper, we focus on the problem of estimating a nonparametric choice model in a dy- namic observation setting and develop convex.
Choice models are prevalent in several application areas, and their nonparametric estimation was introduced to alleviate unreasonable assumptions in ...