Title of Submission
Predictive Models in Data Science
Degree Program
Computing - Data Science, PhD
Major Advisor Name
Jodi Mead
Type of Submission
Scholarly Poster
Abstract
Predictive modeling in data science typically requires unknown parameters that can be inferred from observational data. A parameter is any numerical quantity that characterizes a given data set or some aspect of it. This study focuses on the effectiveness of combining data sets from different predictive models that share some common parameters. We will show preliminary results demonstrating the effect of uncertainties in initial parameter estimates inferred from a secondary data set.
Funding Information
Boise State University
COinS