Kevin He
Names
Identifer
Contact
Affiliations
-
University of Pennsylvania
/ Department of Economics
Research profile
author of:
- Bayesian Posteriors For Arbitrarily Rare Events (RePEc:arx:papers:1608.05002)
by Drew Fudenberg & Kevin He & Lorens Imhof - Learning and Type Compatibility in Signaling Games (RePEc:arx:papers:1702.01819)
by Drew Fudenberg & Kevin He - Network Structure and Naive Sequential Learning (RePEc:arx:papers:1703.02105)
by Krishna Dasaratha & Kevin He - Payoff Information and Learning in Signaling Games (RePEc:arx:papers:1709.01024)
by Drew Fudenberg & Kevin He - Player-Compatible Learning and Player-Compatible Equilibrium (RePEc:arx:papers:1712.08954)
by Drew Fudenberg & Kevin He - Mislearning from Censored Data: The Gambler's Fallacy and Other Correlational Mistakes in Optimal-Stopping Problems (RePEc:arx:papers:1803.08170)
by Kevin He - Dynamic Information Design with Diminishing Sensitivity Over News (RePEc:arx:papers:1908.00084)
by Jetlir Duraj & Kevin He - An Experiment on Network Density and Sequential Learning (RePEc:arx:papers:1909.02220)
by Krishna Dasaratha & Kevin He - Aggregative Efficiency of Bayesian Learning in Networks (RePEc:arx:papers:1911.10116)
by Krishna Dasaratha & Kevin He - Evolutionarily Stable (Mis)specifications: Theory and Applications (RePEc:arx:papers:2012.15007)
by Kevin He & Jonathan Libgober - Screening $p$-Hackers: Dissemination Noise as Bait (RePEc:arx:papers:2103.09164)
by Federico Echenique & Kevin He - Private Private Information (RePEc:arx:papers:2112.14356)
by Kevin He & Fedor Sandomirskiy & Omer Tamuz - Observability, Dominance, and Induction in Learning Models (RePEc:arx:papers:2201.00776)
by Daniel Clark & Drew Fudenberg & Kevin He - Learning from Viral Content (RePEc:arx:papers:2210.01267)
by Krishna Dasaratha & Kevin He - Payoff information and learning in signaling games (RePEc:eee:gamebe:v:120:y:2020:i:c:p:96-120)
by Fudenberg, Drew & He, Kevin - An experiment on network density and sequential learning (RePEc:eee:gamebe:v:128:y:2021:i:c:p:182-192)
by Dasaratha, Krishna & He, Kevin - Player-compatible learning and player-compatible equilibrium (RePEc:eee:jetheo:v:194:y:2021:i:c:s0022053121000557)
by Fudenberg, Drew & He, Kevin - Observability, dominance, and induction in learning models (RePEc:eee:jetheo:v:206:y:2022:i:c:s0022053122001594)
by Clark, Daniel & Fudenberg, Drew & He, Kevin - Screening p -hackers: Dissemination noise as bait (RePEc:nas:journl:v:121:y:2024:p:e2400787121)
by Federico Echenique & Kevin He - Evolutionarily Stable (Mis)specifications:Theory and Applications (RePEc:pen:papers:21-020)
by Kevin He & Jonathan Libgober - Aggregative Efficiency of Bayesian Learning in Networks (RePEc:pen:papers:21-021)
by Krishna Dasaratha & Kevin He - Observability, Dominance, and Induction in Learning Models (RePEc:pen:papers:22-003)
by Daniel Clark & Drew Fudenberg & Kevin He - Private Private Information (RePEc:pen:papers:22-004)
by Kevin He & Fedor Sandomirskiy & Omer Tamuz - Network structure and naive sequential learning (RePEc:the:publsh:3388)
by Dasaratha, Krishna & He, Kevin - Mislearning from censored data: The gambler's fallacy and other correlational mistakes in optimal-stopping problems (RePEc:the:publsh:4657)
by He, Kevin - Dynamic information preference and communication with diminishing sensitivity over news (RePEc:the:publsh:5569)
by Duraj, Jetlir & He, Kevin - Learning and Type Compatibility in Signaling Games (RePEc:wly:emetrp:v:86:y:2018:i:4:p:1215-1255)
by Drew Fudenberg & Kevin He