Difference between revisions of "User:Lwebster"
| Line 18: | Line 18: | ||
'''Overall Goal:''' Clarify project topic, clear up any confusions on the previous reading, read a different take on Gaussian Stochastic Processes | '''Overall Goal:''' Clarify project topic, clear up any confusions on the previous reading, read a different take on Gaussian Stochastic Processes | ||
* Attended REU Orientation | * Attended REU Orientation | ||
| − | * Met [http://www.marquette.edu/mscs/facstaff-spiller.shtml 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) | + | * Met Dr. [http://www.marquette.edu/mscs/facstaff-spiller.shtml 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 | * Set up lab accounts and learned how to access the Wiki page | ||
* Learned about Library resources | * Learned about Library resources | ||
| − | * Met with [http://www.marquette.edu/mscs/facstaff-spiller.shtml Elaine Spiller] and was assigned new readings regarding Gaussian Stochastic Processes for the next week | + | * Met with Dr. [http://www.marquette.edu/mscs/facstaff-spiller.shtml 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 (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 the Random Function Parameter Estimation, Prediction Uncertainty, and Diagnostics (Jerome Sacks and William J. Welch) | ||
| Line 35: | Line 35: | ||
* Watched educational videos on GaSP and took notes | * Watched educational videos on GaSP and took notes | ||
* Began research paper - created a format to write in as project develops | * Began research paper - created a format to write in as project develops | ||
| − | * Received Gaussian Processes Matlab script from [http://www.marquette.edu/mscs/facstaff-spiller.shtml Elaine Spiller] and examined it | + | * Received Gaussian Processes Matlab script from Dr. [http://www.marquette.edu/mscs/facstaff-spiller.shtml Elaine Spiller] and examined it |
Revision as of 15:27, 7 June 2018
Contents
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 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 Dr. 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 Dr. 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
- Reviewed readings from last week
- Began RCR Training - all 3 Modules completed
- Watched educational videos on GaSP and took notes
- Began research paper - created a format to write in as project develops
- Received Gaussian Processes Matlab script from Dr. Elaine Spiller and examined it
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
