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Monte Carlo methods / Estimation theory / Markov models / Weather prediction / Statistical forecasting / Limited-memory BFGS / BFGS method / Markov chain Monte Carlo / Mixture model / Statistics / Probability and statistics / Mathematical sciences


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Document Date: 2012-03-08 21:44:30


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City

Seattle / Sheffield / Xi'an / Beijing / /

Company

Science China Press / BMA / Springer-Verlag Berlin Heidelberg 2011 / /

Country

United States / China / /

/

Event

Natural Disaster / /

Facility

Institute of Atmospheric / Northwestern University / University of Washington / Institute of Atmospheric Physics / /

IndustryTerm

statistical post-processing method / analytical solutions / multi-model ensemble prediction systems / arithmetic mean algorithm / local optimal solution / intermediate solution / promising new tool / satellite brightness temperature measurements / promising tool / wider applications / satellite observations / limited memory algorithm / operational network / /

Organization

University of Washington / Chinese Academy of Sciences / Institute of Atmospheric Physics / Meterological Bureau of Xi'an City / Am Stat Assoc / Eta / Institute of Atmospheric / Northwestern University / Department of Statistics / Nansen-Zhu International Research Centre / National Natural Science Foundation of China / China Meteorological Administration / EECS Department / /

Person

Mitchell K. Impact / Grant Nos / /

Position

*Corresponding author / /

ProgrammingLanguage

K / L / ML / /

Region

North China / /

Technology

limited memory quasi-Newtonian algorithm / arithmetic mean algorithm / limited memory algorithm / microwave / et al. Sci China Earth Sci algorithm / EM algorithm / Limited memory quasi-Newtonian algorithms / pdf / MCMC algorithms / algorithm The EM algorithm / Broyden-Fletcher-Goldfarb-Shanno-Byrd algorithm / MCMC algorithm / simulation / L-BFGS-B algorithm / /

URL

www.springerlink.com / /

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