68 citations · 71 across the 7 of their papers we have counts for
4 papers · 1 filter
Spatiotemporal Modeling and Forecasting at Scale with Dynamic Generalized Linear Models
Pranay Pherwani, Nicholas Hass, Anna K. Yanchenko
Spatiotemporal data consisting of timestamps, GPS coordinates, and IDs occurs in many settings. Modeling approaches for this type of data must address challenges in terms of sensor…
Reply to Discussions of "Multivariate Dynamic Modeling for Bayesian Forecasting of Business Revenue"
Anna K. Yanchenko, Graham Tierney, Joseph Lawson +3
We are most grateful to all discussants for their positive comments and many thought-provoking questions. In addition, the discussants provide a number of useful leads into various…
Multivariate Dynamic Modeling for Bayesian Forecasting of Business Revenue
Anna K. Yanchenko, Graham Tierney, Joseph Lawson +3
Forecasting enterprise-wide revenue is critical to many companies and presents several challenges and opportunities for significant business impact. This case study is based on mod…
Hierarchical Dynamic Modeling for Individualized Bayesian Forecasting
Anna K. Yanchenko, Di Daniel Deng, Jinglan Li +2
We present a case study and methodological developments in large-scale hierarchical dynamic modeling for personalized prediction in commerce. The context is supermarket sales, wher…