Yuxue Jin

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    Google
Bias Correction For Paid Search In Media Mix Modeling
Aiyou Chen
David Chan
Jim Koehler
Mike Perry
Yueqing Wang
Yunting Sun
Yuxue Jin
research.google.com, Google Inc. (2018)
Geo-level Bayesian Hierarchical Media Mix Modeling
Yunting Sun
Yueqing Wang
Yuxue Jin
David Chan
Jim Koehler
Google Inc (2017)
Bayesian Methods for Media Mix Modeling with Carryover and Shape Effects
Yuxue Jin
Yueqing Wang
Yunting Sun
David Chan
Jim Koehler
research.google.com, Google Inc., 76 Ninth Avenue Google New York NY 10011 (2017)
A Hierarchical Bayesian Approach to Improve Media Mix Models Using Category Data
Yueqing Wang
Yuxue Jin
Yunting Sun
David Chan
Jim Koehler
Google Inc. (2017)
How Many People Visit YouTube? Imputing Missing Events in Panels With Excess Zeros
Georg M. Goerg
Yuxue Jin
Nicolas Remy
Jim Koehler
; SAGE Publications - edited by Herwig Friedl and Helga Wagner, Linz, Austria (2015), pp. 1-6
How Many Millennials Visit YouTube? Estimating Unobserved Events From Incomplete Panel Data Conditioned on Demographic Covariates
Georg M. Goerg
Yuxue Jin
Nicolas Remy
Jim Koehler
TBD, Google, Inc. (2015), pp. 1-27 (to appear)
The Optimal Mix of TV and Online Ads to Maximize Reach
Yuxue Jin
Jim Koehler
Georg M. Goerg
Nicolas Remy
research.google.com, 76 Ninth Avenue (2013), pp. 1-16
The Incremental Reach and Cost Efficiency of Online Video Ads over TV Ads
Yuxue Jin
Sheethal Shobowale
Jim Koehler
Harry Case
Google Inc (2012), pp. 1-17
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