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Estimation theory / Parametric statistics / Time series analysis / Linear regression / Heteroscedasticity / Homoscedasticity / Mean squared error / Errors and residuals in statistics / Least squares / Statistics / Regression analysis / Econometrics


Most Likely Heteroscedastic Gaussian Process Regression Kristian Kersting [removed] CSAIL, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA, [removed], USA Christian Plagemann
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Document Date: 2007-11-05 10:05:33

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City

Cambridge / New York / /

Company

Neural Information Processing Systems / MIT Press / John Wiley and Sons / /

Country

Germany / United States / /

Currency

pence / /

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Facility

Massachusetts Institute of Technology / University of Freiburg / /

IndustryTerm

real-world applications / online regression / robotic applications / online learning / robotics applications / kmeans algorithm / localization algorithm / vector algorithms / studying online learning / /

OperatingSystem

Linux / /

Organization

Royal Statistical Society / German Ministry for Education and Research / Department of Computer Science / German Science Foundation / Massachusetts Institute of Technology / University of Freiburg / /

Person

Patrick Pfaff / Williamson / Christian Plagemann / Kristian Kersting / /

Position

author / Bishop / representative / /

Product

G2 / /

ProvinceOrState

New York / Massachusetts / /

PublishedMedium

Journal of the Royal Statistical Society / Machine Learning / /

TVStation

Wand / /

Technology

radiation / laser / vector algorithms / Linux / Monte Carlo localization algorithm / GPS / kmeans algorithm / machine learning / simulation / EM algorithm / /

URL

http /

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