15 Mathematical Tools for Multivariate Character Analysis This chapter introduces a variety of tools from matrix algebra and multivariate statistics useful in the analysis of selection on multiple characters. Our primary

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Software package for Multivariate Analysis and Multivariate Time Series Analysis Version 2.0+ Brodgar was developed by: Highland Statistics Ltd.

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Semidefinite Optimization with Applications in Sparse Multivariate Statistics Alexandre d’Aspremont ORFE, Princeton University Joint work with L. El Ghaoui, M. Jordan, V. Krishnamurthy, G. Lanckriet,

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R: statistics for all of us R: an international statistical collaboratory Prepared for part of the symposium on Multivariate Statistical Methods in Individual Differences Research International Society for the Study of I

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Submitted to the Annals of Statistics arXiv:1608.03913v1 [math.ST] 12 Aug 2016 POSTERIOR CONTRACTION AND CREDIBLE SETS FOR MULTIVARIATE REGRESSION MODE WITH

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– the FoM for “rock” appears to have become very poor now. • Combining all feature dimensions from acoustic information below 20 Hz and above 4186 Hz. – (Rock recovers partly) 3.3MUSIC FilteringCONTENT

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• Algebra
• Physics
• Statistics
• Linear algebra
• Multivariate statistics
• Statistical classification
• Support vector machine
• Machine learning
• Euclidean vector
• Principal component analysis
• Light scattering
• Scattering

SEPTEMBERCARTER AND ELSNER 515

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• Meteorology
• Statistics
• Physical geography
• Multivariate statistics
• Statistical classification
• Weather forecasting
• Weather prediction
• Hydrology
• Rain
• Linear discriminant analysis
• Precipitation
• Discriminant function analysis

Adaptive Discriminative Generative Model and Its Applications † Ruei-Sung Lin† David Ross‡ Jongwoo Lim† Ming-Hsuan Yang∗ University of Illinois ‡ University of Toronto ∗ Honda Research Institute

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• Statistics
• Probability
• Mathematical analysis
• Statistical models
• Machine learning
• Markov models
• Linear algebra
• Multivariate statistics
• Discriminative model
• Kalman filter
• Generative model
• Normal distribution

Knowl Inf Syst DOIs10115REGULAR PAPER Density-preserving projections for large-scale local anomaly detection

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• Statistics
• Dimension reduction
• Data mining
• Multivariate statistics
• Robust statistics
• Machine learning
• Outlier
• Local outlier factor
• Anomaly detection
• Principal component analysis
• Random sample consensus
• Dimensionality reduction