Classroom Voting Questions: Elementary Statistics 1. Which of the following best describes a situation in which you would use a nonparametric method (as opposed to another type of method)? (a) The parameters of the popul

Source URL: mathquest.carroll.edu

Proceedings of the 60th ISI World Statistics Congress, 26-31 July 2015, Rio de Janeiro, Brazil p.3981 Parametric or nonparametric: the FIC approach for stationary time series Gudmund Horn Hermansen*

Source URL: www.isi2015.org

¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool

Source URL: www.cvg.ethz.ch

• Computer vision
• Statistics
• Vision
• Nonparametric statistics
• Color histogram
• Condensation algorithm
• Summary statistics
• Probability distribution
• Histogram
• Mode
• Data analysis

¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool

Source URL: www.cvg.ethz.ch

• Artificial intelligence
• Statistics
• Machine learning
• Nonparametric statistics
• Statistical classification
• Feature detection
• Learning
• Histogram
• Naive Bayes classifier
• Outline of object recognition
• K-means clustering
• Bag-of-words model

Learning stick-figure models using nonparametric Bayesian priors over trees Edward W. Meeds, David A. Ross, Richard S. Zemel, and Sam T. Roweis Department of Computer Science University of Toronto {ewm, dross, zemel, row

Source URL: www.cs.toronto.edu

• Statistics
• Probability
• Statistical theory
• Probability distributions
• Statistical models
• Bayesian statistics
• Stochastic processes
• Graphical models
• Bayesian network
• Gibbs sampling
• Dirichlet process
• Mixture model

A Probabilistic Framework for Building Privacy Preserving Synopses of Multi-dimensional Data

Source URL: i.cs.hku.hk

• Statistics
• Image processing
• Nonparametric statistics
• Feature detection
• Histogram
• Image histogram
• Privacy
• Wavelet
• V-optimal histograms

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

Nonparametric Regression with Correlated Errors Jean Opsomer Iowa State University Yuedong Wang University of California, Santa Barbara

Source URL: www.pstat.ucsb.edu

• Statistics
• Regression analysis
• Autocorrelation
• Linear regression
• Polynomial regression
• Nonparametric regression
• Kernel regression
• Correlation and dependence
• Errors and residuals
• Degrees of freedom
• Variance
• Normal distribution

IEEE TRANSACTION ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 1 Human Pose Estimation with Regression by Fusing Multi-View Visual Information

Source URL: www.ifp.illinois.edu

• Artificial intelligence
• Statistics
• Vision
• Computer vision
• Robot control
• Regression analysis
• Estimation theory
• Pose
• 3D pose estimation
• Pattern recognition
• Linear regression
• Nonparametric regression

Important Concepts Examples Representing Data Distributions Statisticians use data displays or statistics to analyze

Source URL: media.pearsoncmg.com

• Statistics
• Descriptive statistics
• Data
• Summary statistics
• Means
• Robust statistics
• Quartile
• Interquartile range
• Nonparametric statistics
• Box plot
• Median
• Plot