Title

COVID-19 Incidence Rate in Minnesota: A Bayesian Spatial Analysis

Individual author or multiple authors

Group

Major

Statistics (MAST)

Category of Work

Comps

Additional Category of Work

None

Degree

Bachelor of Arts

Class Year

2022

Comps Adviser(s)

Bastola, Deepak

Special Recognition

Nathan Hayes-Rich - Distinction on comps

Student Project URL If Available

https://bayesian-spatial-modeling-covid- mn.shinyapps.io/covid app/

Keywords

Bayesian, Covid, spatial, model, Minnesota

Academic Civic Engagement (ACE) Comps Designation

no

Format

application/pdf

Rights Management

Student author/s retain copyright to this work. Through online submission process, author/s granted Carleton College the non-exclusive rights to preserve this work as part of Carleton's academic history and to use it for teaching purposes and/or institutional research and assessment.

Files Uploaded

Text (paper)

Share

COinS