Kyle Heuton, Shikhar Shrestha, Thomas J. Stopka, Jennifer Pustz, Li-Ping Liu, and Michael C. Hughes. Predicting Spatiotemporal Counts of Opioid-related Fatal Overdoses via Zero-Inflated Gaussian Processes. Retrieved from https://par.nsf.gov/biblio/10389257. The 2022 NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems. .

Kyle Heuton, Shikhar Shrestha, Thomas J. Stopka, Jennifer Pustz, Li-Ping Liu, & Michael C. Hughes. Predicting Spatiotemporal Counts of Opioid-related Fatal Overdoses via Zero-Inflated Gaussian Processes. The 2022 NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems., (). Retrieved from https://par.nsf.gov/biblio/10389257.

Kyle Heuton, Shikhar Shrestha, Thomas J. Stopka, Jennifer Pustz, Li-Ping Liu, and Michael C. Hughes. "Predicting Spatiotemporal Counts of Opioid-related Fatal Overdoses via Zero-Inflated Gaussian Processes". The 2022 NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems. (). Country unknown/Code not available. https://par.nsf.gov/biblio/10389257.

@article{osti_10389257,
place = {Country unknown/Code not available}, title = {Predicting Spatiotemporal Counts of Opioid-related Fatal Overdoses via Zero-Inflated Gaussian Processes}, url = {https://par.nsf.gov/biblio/10389257}, abstractNote = {}, journal = {The 2022 NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems.}, author = {Kyle Heuton and Shikhar Shrestha and Thomas J. Stopka and Jennifer Pustz and Li-Ping Liu and Michael C. Hughes}, }