User:Lwebster

Personal Info

Lindsay Webster is a double major in Mathematics and Theatre Arts in the Honors Program at Marquette University. She will graduate in 2019. She is the Production Manager of Marquette's Helfaer Theatre, where she also serves as a performer and occasionally a set designer. She served as Treasurer of the Marquette University Players Society for two years. She recently made a probabilistic mathematical model to predict the winner of Best Musical at the annual Tony Awards. So if you're wondering how Mathematics and Theatre Arts combine, that's it.

Research Topic

Coupling Landslide Hazards

How Gaussian Stochastic Processes can be used to predict landslide behaviors.

Weekly Log

Week 1 (5/29/18-6/1/18)

Overall Goal: Clarify project topic, clear up any confusions on the previous reading, read a different take on Gaussian Stochastic Processes

• Attended REU Orientation
• Met Elaine Spiller and discussed previously assigned reading from the week before (Chapter 1-2,2 of Gaussian Processes for Machine Learning, C. E. Rasmussen & C. K. I. Williams)
• Set up lab accounts and learned how to access the Wiki page
• Learned about Library resources
• Met with Elaine Spiller and was assigned new readings regarding Gaussian Stochastic Processes for the next week
• Read about The Random Function (RF) Model (Jerome Sacks and William J. Welch)
• Read about the Random Function Parameter Estimation, Prediction Uncertainty, and Diagnostics (Jerome Sacks and William J. Welch)
• Read about Gaussian Stochastic Processes Designs (Jerome Sacks and William J. Welch)
• Read about Uses of Random Function Models (Jerome Sacks and William J. Welch)
• Read about Choosing a Random Function Model (Jerome Sacks and William J. Welch)

Week 2 (6/4/18-6/8/18)

Overall Goal: Explore Gaussian Matlab script in 1d and 2d, re-examine accomplishments and challenges and update weekly goals as needed, begin research paper

Week 3 (6/11/18-6/15/18)

Overall Goal: Explore the right value of theta to use, optimize through Matlab, find a comparable function in Python

Week 4 (6/18/18-6/22/18)

Overall Goal: Research Geology and the areas prone to landslides, start coupling this information to Gaussian processes

Week 5 (6/25/18-6/29/18)

Overall Goal: Make progress in fitting the Gaussian processes to landslide simulations

Week 6 (7/2/18-7/6/18)

Overall Goal: Fit the Gaussian processes to landslide simulations, begin project poster

Week 7 (7/9/18-7/13/18)

Overall Goal: Begin coupling the two models

Week 8 (7/16/18-7/20/18)

Overall Goal: Continue coupling the two models, finish project poster

Week 9 (7/23/18-7/27/18)

Overall Goal: Finish coupling the models, finish research paper

Week 10 (7/30/18-8/3/18)

Overall Goal: Prepare for final presentation