Banerjee, Trambak, Mukherjee, Gourab, Dutta, Shantanu, and Ghosh, Pulak. A Large-Scale Constrained Joint Modeling Approach for Predicting User Activity, Engagement, and Churn With Application to Freemium Mobile Games. Retrieved from https://par.nsf.gov/biblio/10232422. Journal of the American Statistical Association 115.530 Web. doi:10.1080/01621459.2019.1611584.

Banerjee, Trambak, Mukherjee, Gourab, Dutta, Shantanu, & Ghosh, Pulak. A Large-Scale Constrained Joint Modeling Approach for Predicting User Activity, Engagement, and Churn With Application to Freemium Mobile Games. Journal of the American Statistical Association, 115 (530). Retrieved from https://par.nsf.gov/biblio/10232422. https://doi.org/10.1080/01621459.2019.1611584

Banerjee, Trambak, Mukherjee, Gourab, Dutta, Shantanu, and Ghosh, Pulak. "A Large-Scale Constrained Joint Modeling Approach for Predicting User Activity, Engagement, and Churn With Application to Freemium Mobile Games". Journal of the American Statistical Association 115 (530). Country unknown/Code not available. https://doi.org/10.1080/01621459.2019.1611584. https://par.nsf.gov/biblio/10232422.

@article{osti_10232422,
place = {Country unknown/Code not available}, title = {A Large-Scale Constrained Joint Modeling Approach for Predicting User Activity, Engagement, and Churn With Application to Freemium Mobile Games}, url = {https://par.nsf.gov/biblio/10232422}, DOI = {10.1080/01621459.2019.1611584}, abstractNote = {}, journal = {Journal of the American Statistical Association}, volume = {115}, number = {530}, author = {Banerjee, Trambak and Mukherjee, Gourab and Dutta, Shantanu and Ghosh, Pulak}, editor = {null} }