A Large-Scale Constrained Joint Modeling Approach for Predicting User Activity, Engagement, and Churn With Application to Freemium Mobile Games-Reference-Cited by-同舟云学术

A Large-Scale Constrained Joint Modeling Approach for Predicting User Activity, Engagement, and Churn With Application to Freemium Mobile Games

Published:2019-06-19 Issue:530 Volume:115 Page:538-554
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Banerjee Trambak¹,Mukherjee Gourab¹,Dutta Shantanu²,Ghosh Pulak³

Affiliation:

1. Department of Data Sciences and Operations, University of Southern California, Los Angeles, CA;

2. Department of Marketing, University of Southern California, Los Angeles, CA;

3. Department of Decision Sciences and Information Systems, Indian Institute of Management Bangalore, Bangalore, India

Funder

NSF

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2019.1611584

Reference70 articles.

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2. A finite mixture model for multivariate counts under endogenous selectivity

3. AppBrain (2017), “Free vs. Paid Android Apps,” AppBrain, available at http://www.appbrain.com/stats/free-and-paid-android-applications.

4. Stickiness and the Monetization of Apps

5. Hierarchical Modeling and Analysis for Spatial Data

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