Robust Multivariate Autoregression for Anomaly Detection in Dynamic Product Ratings Nikou Günnemann Stephan Günnemann

Source URL: www.cs.cmu.edu

• Statistics
• Probability distributions
• Time series models
• Robust statistics
• Statistical theory
• Regression analysis
• Outlier
• Autoregressive model
• Errors and residuals
• Normal distribution
• Principal component analysis
• Exponential distribution

5. Singular value decomposition and principal component analysis Chapter 5 Singular value decomposition and principal component analysis In A Practical Approach to Microarray Data Analysis (D.P. Berrar, W. Dubitzky, M.

Source URL: www.cs.cmu.edu

Computing for Data Sciences Lecture 8   Principal  Component  Analysis   In  machine  learning  or  general  theory  of  statistical  learning,  the  problems  are  classif

Source URL: www.souravsengupta.com

An Introduction to R Phil Spector Statistical Computing Facility University of California, Berkeley September 24, 2004

Source URL: www.stat.berkeley.edu

• Software engineering
• Computer programming
• Mathematics
• Subroutines
• Data types
• Functions and mappings
• Matrix
• R
• Variable
• Principal component analysis
• Array programming
• Parameter

David Weenink Speaker-adaptive vowel identification Speaker-adaptive vowel identification

Source URL: www.fon.hum.uva.nl

• Statistics
• Multivariate statistics
• Applied mathematics
• Data analysis
• Artificial neural networks
• Computational neuroscience
• Computational statistics
• Statistical classification
• Principal component analysis
• Linear discriminant analysis
• Artificial neuron
• Algorithm

Supervised Probabilistic Principal Component Analysis Shipeng Yu1,2 , Kai Yu2 , Volker Tresp2 , Hans-Peter Kriegel1 , Mingrui Wu3 2 1 Institute for Computer Science, University of Munich, Germany

Source URL: www.dbs.informatik.uni-muenchen.de

Questions on Kang et alNature Genetics 42:Variance-component model to account for sample structure in genome-wide association studies. 1. Why is controlling for population structure and relatedness import

Source URL: genome.sph.umich.edu

• Genetics
• Heritability
• G factor
• Covariance and contravariance
• Genome-wide association study
• Principal component analysis
• Conceptual model
• Genome-wide complex trait analysis

Sub-Merge: Diving Down to the Attribute-Value Level in Statistical Schema Matching

Source URL: www.aaai.org

• Information science
• Data management
• Information retrieval
• Information
• Cosine similarity
• Principal component analysis
• Data integration
• Record linkage
• Variable and attribute
• Data cleansing
• Schema matching
• Pattern recognition

Estimating Generalizability to a Latent Variable Common to All of a Scale’s Indicators: A Comparison of Estimators for ωh Richard E. Zinbarg, Northwestern University and The Family Institute at Northwestern University

Source URL: personality-project.org

• Factor analysis
• Psychometrics
• Multivariate statistics
• Intelligence
• Structural equation models
• Confirmatory factor analysis
• Exploratory factor analysis
• G factor
• Principal component analysis
• Varimax rotation
• Variance
• Intelligence quotient

Patterns of Temporal Variation in Online Media Jaewon Yang Jure Leskovec Stanford University

Source URL: ilpubs.stanford.edu

• Statistics
• Data mining
• Computational statistics
• Cluster analysis
• Geostatistics
• K-means clustering
• K-medoids
• Silhouette
• Principal component analysis
• Hierarchical clustering
• Data stream clustering