Regression-Kriging - PDFSEARCH.IO - Document Search Engine

Regression-Kriging
Results: 139

#	Item
51	Political Analysis Advance Access published October 10, 2013 Political Analysis[removed]pp. 1–26 doi:[removed]pan/mpt019 Kernel Regularized Least Squares: Reducing Misspecification Add to Reading List Source URL: web.stanford.edu Language: English - Date: 2013-10-15 15:34:27 Non-parametric statistics Geostatistics Actuarial science Kernel density estimation Kernel regression Gaussian function Kriging Kernel methods Reproducing kernel Hilbert space Statistics Regression analysis Econometrics
52	Hydrol. Earth Syst. Sci., 14, 2319–2327, 2010 www.hydrol-earth-syst-sci.netdoi:hess © Author(sCC Attribution 3.0 License. Hydrology and Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-12-04 02:43:43 Agronomy Irrigation Aquatic ecology Kriging Spatial analysis Evapotranspiration Variogram Penman–Monteith equation Regression analysis Statistics Hydrology Geostatistics
53	Hydrol. Earth Syst. Sci., 15, 171–183, 2011 www.hydrol-earth-syst-sci.netdoi:hess © Author(sCC Attribution 3.0 License. Hydrology and Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-12-04 02:46:00 Semivariance Variance Rain Climatology Precipitation Root-mean-square deviation Kriging Regression analysis Mean squared error Statistics Geostatistics Variogram
54	Journal of Machine Learning Research[removed]3015 Submitted 8/10; Revised 9/10; Published[removed]Gaussian Processes for Machine Learning (GPML) Toolbox Carl Edward Rasmussen∗ Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2010-11-19 19:10:52 Gaussian process Likelihood function Variational Bayesian methods Marginal likelihood Kriging Covariance Regression analysis Conjugate prior Maximum likelihood Statistics Bayesian statistics Estimation theory
55	20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 Bayesian model averaging for estimating non-stationary soil moisture data S. Hern´andez a , Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-11-19 22:04:00 Econometrics Bayesian statistics Bayesian inference Bayesian linear regression Empirical Bayes method Water content Soil Linear regression Kriging Statistics Estimation theory Regression analysis
56	Click Here JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 113, D20119, doi:[removed]2008JD010201, 2008 for Add to Reading List Source URL: www.ecad.eu Language: English - Date: 2008-11-03 04:30:06 Multivariate interpolation Kriging Variogram Regression analysis Climate Natural neighbor Proxy Climatology Statistics Geostatistics Interpolation
57	Hydrol. Earth Syst. Sci., 14, 1153–1165, 2010 www.hydrol-earth-syst-sci.netdoi:hess © Author(sCC Attribution 3.0 License. Hydrology and Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-12-04 02:38:59 Kriging Geomorphometry Spatial analysis Propagation of uncertainty Semivariance Uncertainty Geographic information system Topography Regression analysis Statistics Geostatistics Variogram
58	Hydrology and Earth System Sciences, 7(2), 235–) © EGU Triple diagram model of level fluctuations in Lake Van, Turkey Abdüsselam Altunkaynak, Mehmet Özger and Zekai Sen Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-12-04 01:55:18 Interpolation Kriging Multivariate interpolation Economic model Regression analysis Variogram Lake Statistical model Time series Statistics Geostatistics Actuarial science
59	Hydrol. Earth Syst. Sci., 15, 715–727, 2011 www.hydrol-earth-syst-sci.netdoi:hess © Author(sCC Attribution 3.0 License. Hydrology and Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-12-04 02:48:12 Interpolation Kriging Multivariate interpolation Variogram Semivariance Stream gauge Regression analysis Drainage basin Baseflow Statistics Geostatistics Hydrology
60	Multi-Task Learning of System Dynamics with Maximum Information Gain Jose F. Zubizarreta-Rodriguez and Fabio Ramos Australian Centre for Field Robotics, School of Information Technologies The University of Sydney, Austra Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:42 Exponentials Gaussian function Supervised learning Normal distribution Kriging Regression analysis Gaussian process Covariance matrix Control theory Statistics Data analysis Interpolation

UPDATE