8 citations · 21 across the 8 of their papers we have counts for
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cs.LG2023
Redeeming Data Science by Decision Modelling
John Mark Agosta, Robert Horton
With the explosion of applications of Data Science, the field is has come loose from its foundations. This article argues for a new program of applied research in areas familiar to…
stat.AP2023
Hierarchical Bayesian Regression for Multi-Location Sales Transaction Forecasting
John Mark Agosta, Mario Inchiosa
The features in many prediction models naturally take the form of a hierarchy. The lower levels represent individuals or events. These units group naturally into locations and inte…
cs.DC2023★ 5 cited
Runtime Variation in Big Data Analytics
Yiwen Zhu, Rathijit Sen, Robert Horton +2
The dynamic nature of resource allocation and runtime conditions on Cloud can result in high variability in a job's runtime across multiple iterations, leading to a poor experience…