Articles | Volume 21, issue 6
Nonlin. Processes Geophys., 21, 1145–1157, 2014

Special issue: Physics-driven data mining in climate change and weather...

Nonlin. Processes Geophys., 21, 1145–1157, 2014

Research article 01 Dec 2014

Research article | 01 Dec 2014

Non-parametric Bayesian mixture of sparse regressions with application towards feature selection for statistical downscaling

D. Das et al.

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Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques
A. R. Ganguly, E. A. Kodra, A. Agrawal, A. Banerjee, S. Boriah, Sn. Chatterjee, So. Chatterjee, A. Choudhary, D. Das, J. Faghmous, P. Ganguli, S. Ghosh, K. Hayhoe, C. Hays, W. Hendrix, Q. Fu, J. Kawale, D. Kumar, V. Kumar, W. Liao, S. Liess, R. Mawalagedara, V. Mithal, R. Oglesby, K. Salvi, P. K. Snyder, K. Steinhaeuser, D. Wang, and D. Wuebbles
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Subject: Predictability, probabilistic forecasts, data assimilation, inverse problems | Topic: Climate, atmosphere, ocean, hydrology, cryosphere, biosphere
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