1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.AP2022★ 1 cited
Forecasting Hierarchical Time Series
Seema Sangari, Xinyan Zhang
This paper addresses a common problem with hierarchical time series. Time series analysis demands the series for a model to be the sum of multiple series at corresponding sub-level…
cs.CR2022
Correcting for Reporting Delays in Cyber Incidents
Seema Sangari, Eric Dallal
With an ever evolving cyber domain, delays in reporting incidents are a well-known problem in the cyber insurance industry. Addressing this problem is a requisite to obtaining the…
stat.ME2021
Evaluation of imputation techniques with varying percentage of missing data
Seema Sangari, Herman E. Ray
Missing data is a common problem which has consistently plagued statisticians and applied analytical researchers. While replacement methods like mean-based or hot deck imputation h…