Alex Aue, Thomas Lee, Frances Moore, Pierre Mérel, Debashis Paul, Bala Rajaratnam, Aaron Smith
Bringing Statistical Methodology to Big Data Problems in Agricultural and Environmental Economics
Date and Location
Friday, May 24, 2019, 9:00 AM - 6:00 PM
ARE Library Conference Room, 4101 Social Sciences and Humanities
The workshop is scheduled to take place on Friday, May 24, 2019, in the ARE Library (SS&H 4101).
The agenda is below.
|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|
|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|
|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|
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