Emily L. Kang - researchr alias

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Viewing Publication 1 - 6 from 6

2020

Sensitivity and uncertainty quantification for the ECOSTRESS evapotranspiration algorithm - DisALEXIKerry Cawse-Nicholson, Amy Braverman, Emily L. Kang, Miaoqi Li, Margaret Johnson, Gregory Halverson, Martha C. Anderson, Christopher Hain, Michael Gunson, Simon J. Hook. aeog, 89:102088, 2020. [doi]

MCEN: a method of simultaneous variable selection and clustering for high-dimensional multinomial regressionSheng Ren, Emily L. Kang, Jason L. Lu. sac, 30(2):291-304, 2020. [doi]

2019

Randomized algorithms of maximum likelihood estimation with spatial autoregressive models for large-scale networksMiaoqi Li, Emily L. Kang. sac, 29(5):1165-1179, 2019. [doi]

Spatial Statistical Downscaling for Constructing High-Resolution Nature Runs in Global Observing System Simulation ExperimentsPulong Ma, Emily L. Kang, Amy Braverman, Hai M. Nguyen. technometrics, 61(3):322-340, 2019. [doi]

2013

Bayesian Hierarchical ANOVA of Regional Climate-Change Projections from NARCCAP Phase IIEmily L. Kang, Noel Cressie. aeog, 22:3-15, 2013. [doi]

2009

Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical modelsEmily L. Kang, Desheng Liu, Noel Cressie. csda, 53(8):3016-3032, 2009. [doi]

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