Model Learning with Local Gaussian Process Regression Duy Nguyen-Tuong Matthias Seeger Jan Peters

Source URL: www.ias.tu-darmstadt.de

Adaptivity to Local Smoothness and Dimension in Kernel Regression Samory Kpotufe Toyota Technological Institute-Chicago∗

Source URL: ttic.uchicago.edu

Chapter 5 Local Regress ion Trees In this chapter we explore the hypothesis of improving the accuracy of regression trees by using smoother models at the tree leaves. Our proposal consists of using local regression model

Source URL: www.dcc.fc.up.pt

• Regression analysis
• Statistics
• Estimation theory
• Nonparametric statistics
• Parametric statistics
• Polynomial regression
• Local regression
• Decision tree learning
• Kernel regression
• Ordinary least squares
• Nonparametric regression
• Linear regression

American Journal of PrimatologyMethods for Analysis of Unbalanced, Longitudinal, Growth Data LINCOLN E. MOSES,’,2 LYNN C. GALE: JEANNE ALTMANN3,4.5 ‘Department of Statistics, Stanford University, Sta

Source URL: amboselibaboons.nd.edu

• Statistics
• Regression analysis
• Computational statistics
• Estimation theory
• Statistical theory
• Resampling
• Local regression
• Errors and residuals
• Bootstrapping
• Linear regression
• Degrees of freedom
• Least squares

Paper 273 An Introduction to PROC LOESS for Local Regression Robert A. Cohen SAS Institute Inc. Cary, North Carolina, USA

Source URL: www.ats.ucla.edu

• Statistics
• Regression analysis
• Local regression
• Nonparametric regression
• SAS
• Scatter plot
• Akaike information criterion
• Smoothing
• Loess
• Degrees of freedom
• Exploratory data analysis

Tractable Bayesian Optimal Policy in the Presence of Regime Change and Local Parameter Uncertainty Eric T. Swanson Federal Reserve Bank of San Francisco http://www.ericswanson.pro

Source URL: www.ericswanson.us

• Statistics
• Mathematical analysis
• Probability
• Operations research
• Control theory
• Mathematical optimization
• Regression analysis
• Cybernetics
• Optimal control
• Parameter
• Normal distribution
• Stochastic control

Detecting Errors in Foreign Trade Transactions: Dealing with Insufficient Data Luis Torgo1,2 , Welma Pereira1 , and Carlos Soares1,3 1 LIAAD-INESC Porto, Univ. of Porto, R. Ceuta, 118, 6., Porto, Portugal

Source URL: www.dcc.fc.up.pt

• Statistics
• Robust statistics
• Data mining
• Statistical theory
• Regression analysis
• Outlier
• Statistical analysis
• Local outlier factor
• Cluster analysis
• Hierarchical clustering
• Random sample consensus
• Quartile

REGISTRATION FORM and ABSTRACT SUMBISSION INSTRUCTIONS The 2016 LoessFest in Eau Claire, Wisconsin Registration for the LoessFest is a two-step process. First, you must go to the registration website (https://uwec.ticket

Source URL: www.loessfest2016.msu.edu

• Academia
• Academic publishing
• Visual arts
• Knowledge
• Abstract management
• Conferences
• Abstract
• Poster
• Local regression
• Loess
• Wheatpaste

DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features Ayan Sinha∗ Chiho Choi∗ Karthik Ramani

Source URL: engineering.purdue.edu

• Statistics
• Artificial intelligence
• Computer vision
• Vision
• Computational neuroscience
• Regression analysis
• Robot control
• Econometrics
• Convolutional neural network
• Deep learning
• Local regression
• Pose

Child Mortality Estimation 2013: An Overview of Updates in Estimation Methods by the United Nations Inter-Agency Group for Child Mortality Estimation Leontine Alkema1,2*, Jin Rou New1, Jon Pedersen3, Danzhen You4, all me

Source URL: www.childmortality.org

• Population
• Econometrics
• Regression analysis
• Actuarial science
• Demography
• Infant mortality
• Statistics
• Linear regression
• Least squares
• Sampling
• Local regression
• Bias