most citedPrediction Regions for Poisson and Over-Dispersed Poisson Regression Models with Applications to Forecasting Number of Deaths during the COVID-19 Pandemic

5 citations · 5 across the 1 of their papers we have counts for

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stat.ME2023

Maximum Agreement Linear Predictors

Taeho Kim, Pierre Chausse, Matteo Bottai +4

This paper studies predictor functions motivated by maximizing a measure of agreement with the predictand. Specifically, it examines distributional properties and predictive perfor…

stat.ME2020★ 5 cited

Prediction Regions for Poisson and Over-Dispersed Poisson Regression Models with Applications to Forecasting Number of Deaths during the COVID-19 Pandemic

T. KIm, B. Lieberman, G. Luta +1

Motivated by the current Coronavirus Disease (COVID-19) pandemic, which is due to the SARS-CoV-2 virus, and the important problem of forecasting daily deaths and cumulative deaths,…