Summer School in Statistics for Astronomers June 2-6, 2014 Multivariate Analysis

Source URL: astrostatistics.psu.edu

A Class of Multivariate Copulas with Bivariate Fr´ echet Marginal Copulas Jingping Yang∗ Yongcheng Qi†

Source URL: sas.uwaterloo.ca

• Independence
• Covariance and correlation
• Actuarial science
• Multivariate statistics
• Copula
• U1
• Comonotonicity
• Correlation and dependence
• Joint probability distribution

CLASS PROJECT FOR EE225B (SPRING 2006), UNIVERSITY OF CALIFORNIA-BERKELEY 1 Sparse Signal Representation: Image Compression using Sparse Bayesian Learning

Source URL: www.ericbattenberg.com

• Statistics
• Signal processing
• Mathematical analysis
• Probability
• Multivariate statistics
• Numerical linear algebra
• Sparse approximation
• Wavelet
• Filter bank
• Normal distribution
• Matching pursuit
• Linear algebra

Nonlinear directed acyclic structure learning with weakly additive noise models Peter Spirtes Arthur Gretton Robert E. Tillman

Source URL: select.cs.cmu.edu

• Statistics
• Analysis
• Data
• Statistical models
• Multivariate statistics
• Signal processing
• Data analysis
• Independent component analysis
• Time series analysis
• Additive white Gaussian noise
• Gaussian function
• Positive-definite kernel

Normal Estimation for Pointcloud using GPU based Sparse Tensor Voting Ming Liu, Franc¸ois Pomerleau, Francis Colas, Roland Siegwart Autonomous Systems Lab, ETH Zurich, Switzerland [ming.liu, francois.pomerleau, francis.

Source URL: ram-lab.com

• Dimension reduction
• Multivariate statistics
• Image segmentation
• Multilinear algebra
• Tensor
• General-purpose computing on graphics processing units
• Principal component analysis
• K-nearest neighbors algorithm
• Range segmentation

LEARNING TO SEGMENT SONGS WITH ORDINAL LINEAR DISCRIMINANT ANALYSIS Brian McFee Daniel P.W. Ellis Center for Jazz Studies

Source URL: bmcfee.github.io

• Statistics
• Multivariate statistics
• Data analysis
• Mathematics
• Image segmentation
• Cluster analysis
• Hierarchical clustering
• Non-negative matrix factorization
• Self-similarity matrix
• Market segmentation
• Principal component analysis
• Pattern recognition

Non-Parametric Discrete Mixture Model Recovery via Nonnegative Matrix Factorization Stefan Karpinski, John R. Gilbert, Elizabeth M. Belding Department of Computer Science University of California, Santa Barbara {sgk,gilb

Source URL: karpinski.org

• Algebra
• Mathematics
• Matrix theory
• Linear algebra
• Multivariate statistics
• Non-negative matrix factorization
• KullbackLeibler divergence
• Probability distribution
• Singular value decomposition
• Mixture model
• Euclidean algorithm
• Matrix decomposition

Microsoft PowerPoint - cs559f15_Week5.pptx

Source URL: www.cs.stevens.edu

• Computer vision
• Artificial intelligence
• Vision
• Multivariate statistics
• Face recognition
• Machine learning
• California Institute of Technology
• Caltech 101
• Eigenface
• MNIST database
• Principal component analysis
• Data set

Journal of Multivariate Analysis–167 Contents lists available at ScienceDirect Journal of Multivariate Analysis journal homepage: www.elsevier.com/locate/jmva

Source URL: my.unil.ch

• Estimation theory
• Statistics
• M-estimators
• Maximum likelihood estimation
• Statistical theory
• Estimator
• Parametric model
• Fisher information
• Confidence interval
• Generalized method of moments
• Likelihood function
• Copula

Ensemble Subsampling for Imbalanced Multivariate Two-Sample Tests Lisha Chen Department of Statistics Yale University, New Haven,CTemail:

Source URL: www.stat.yale.edu