Bringing Statistical Methodology to Big Data Problems in Agricultural and Environmental Economics Workshop
May 24, 2019
Update: slides available to UC Davis researchers on Box.
The workshop is scheduled to take place on Friday, May 24, 2019, in the ARE Library (SS&H 4101).
Organizing Committee: Alexander Aue, Dalia Ghanem, Aaron Smith
The agenda is below.
9:30-10:25am | Introductory Session | |
Introduction to data and economic questions | Aaron Smith | |
Introduction to functional data analysis | Alex Aue | |
10:30am-12:00pm | Spatiotemporal Data in Agriculture | |
From adaptive binning to splines: experimenting with the FDA toolbox for the yield-temperature relationship | Matthieu Stigler | |
Choosing from competing models using the minimum description length principle: from time series change point detection to image segmentation to texture simulation | Thomas Lee | |
Discussion | Zhenyu Wei | |
12:00-1:30pm | Lunch | |
1:30-3:00pm | High-Dimensional Problems in Energy Economics | |
Residential building codes do save energy: Evidence from hourly smart-meter data | Aaron Smith | |
Addressing the challenge of testing high-dimensional general linear hypotheses through spectral shrinkage | Debashis Paul | |
Discussion | Takuya Ura | |
3:00-3:30pm | Coffee Break | |
3:30-5:30pm | Mixed-Frequency Data Problems in Climate Science | |
Climate econometrics: Can the panel approach account for long-run adaptation? | Pierre Merel | |
Applying big data analysis to understand climate change impacts | Frances Moore | |
Spatial field reconstructions and analysis of extremes with applications to environmental sciences | Bala Rajaratnam | |
Discussion | Dalia Ghanem |
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