2019 Graduate Student Showcase
 

Title of Submission

Predictive Models in Data Science

Degree Program

Computing - Data Science, PhD

Major Advisor Name

Jodi Mead

Type of Submission

Scholarly Poster

Judging Session

10:30am - 12pm - Judging Session #2

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

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