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Yeneng Sun

Researcher at National University of Singapore

Publications -  117
Citations -  2400

Yeneng Sun is an academic researcher from National University of Singapore. The author has contributed to research in topics: Random variable & Law of large numbers. The author has an hindex of 27, co-authored 115 publications receiving 2231 citations. Previous affiliations of Yeneng Sun include Yale University & University of Illinois at Urbana–Champaign.

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The exact law of large numbers via Fubini extension and characterization of insurable risks

TL;DR: The usual continuum product based on the Kolmogorov construction together with the Lebesgue measure as well as the usual finitely additive measure-theoretic framework is shown to be not suitable for modeling individual risks.
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Non-Cooperative Games with Many Players

TL;DR: In this article, the existence of pure-strategy Nash equilibria in games with an atomless continuum of players, each with an action set that is not necessarily finite.
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Existence of independent random matching

TL;DR: In this article, the existence of independent random matching of a large population in both static and dynamic systems has been proved via non-standard analysis, and the proof for the dynamic setting relies on a new Fubini type theorem for an infinite product of Loeb transition probabilities, based on which a continuum of independent Markov chains is derived from random mutation, random partial matching and random type changing.
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On the Existence of Pure Strategy Equilibria in Games with a Continuum of Players

TL;DR: In this paper, the existence of pure strategy Nash equilibria in nonatomic games was shown by means of counterexamples and the stringent conditions on the cardinality of action sets cannot be relaxed, and thus resolve questions which have remained open since Schmeidler's 1973 paper.
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A theory of hyperfinite processes: the complete removal of individual uncertainty via exact LLN

TL;DR: In this paper, the authors provide a measure-theoretic framework for the study of random phenomena involving a large number of economic entities, based on the fact that processes which are measurable with respect to hyperfinite Loeb product spaces capture the limiting behaviors of triangular arrays of random variables and thus constitute the right class for general stochastic modeling.