Kwang-Youn Kim, PhD
As March rolls in, we are extremely pleased to host our annual conference which is on the topic of Weather and Prediction this year. The awareness in global warming spotlights weather research among the many active areas in statistics. Speakers from across the nation will be joining us to present their latest cutting-edge methods in weather prediction. The topics and agenda are highlighted below.
- Christopher Wikle: Adapting Science-Based and Machine Learning Methods for Statistical Long-Lead Forecasting of the Ocean, Atmosphere, and Related Processes
- Won Chang: Calibrating an Ice Sheet Model Using High-Dimensional Binary Spatial Data
- Sooin Yun: Comparing Two Spatio-Temporal Fields
- Will Kleiber: Statistical Challenges in Creating Historical Weather Products for the United States
- Chen Chen: Complex Changes in Precipitation Characteristics Revealed by Feature Tracking
8:30 AM - 9:10 AM Registration and Continental Breakfast
9:10 AM - 9:15 AM Introductions led by Kwang-Youn Kim
9:15 AM - 10:30 AM Christopher Wikle (Q&A included)
10:30 AM - 11:45 AM Won Chang (Q&A included)
11:45 AM - 1:00 PM Lunch Break (lunch provided)
1:00 PM - 2:15 PM Sooin Yun (Q&A included)
2:15 PM - 3:30 PM Will Kleiber (Q&A included)
3:30 PM - 3:45 PM Coffee break
3:45 PM - 5:00 PM Chen Chen (Q&A included)
I hope to see many of you on March 14th (Pi Day!!).
|News from the CCASA Board
Save the data; registration details coming soon.CCASA 2018 Workshop: Friday April 27, 2018
Title: Art and Practice of Regression Trees
Presenter: Wei-Yin Loh, Department of Statistics, University of Wisconsin, Madison
Location: Chicago, DePaul Loop campus
Abstract: Regression tree and forest methods have greatly improved in the last decade. Their ease of use, prediction accuracy, execution speed, and interpretability make them essential tools for machine learning and data analysis. The course teaches how to use the tools effectively and efficiently. It uses an example-focused style, with each example chosen to illustrate particular weaknesses of traditional solutions and to show how tree methods overcome them and yield new insights.
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2018 DataFest at Loyola University, March 23-25.
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