Recently Published
Forecasting COV-ID 19 Cases
Forecasting COV-ID 19 cases for the next 100 days using Bayesian Structural Time Series Modeling.
Predicting the efficacy of COVID-19 social distancing advisories
In an effort to reduce transmission of the coronavirus disease 2019 (COVID-2019) experts in the United States advised residents to shelter-in-place and practice social-distancing. Many did not follow those recommendations. The current research examines what population characteristics predict this lack of compliance so that policymakers can more effectively plan to halt the spread of infectious disease like COVID-19.
Unsupervised Classification of News Articles
A novel solution for the unsupervised classification of text using techniques including Topics Modeling, Principal Components Analysis, and Factor Analysis.
Time Series Forecasting Using Bayesian Structural Time Series Modeling in R
AMZN Stock Forecast