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Books on the topic 'Canonical correlation'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Burg, Eeke Van der. Nonlinear canonical correlation and some related techniques. DSWO Press, 1988.

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2

Benesty, Jacob, and Israel Cohen. Canonical Correlation Analysis in Speech Enhancement. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-67020-1.

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3

Pourahmadi, Mohsen. Computation of canonical correlation and best predictable aspect of future for time series. National Aeronautics and Space Administration, 1989.

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4

Bulach, Marcia Woolf. Canonical Auto And Cross Correlations Of Multivariate Time Series. Dissertation.com, 1999.

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5

Röhr, Michael. Statistische Strukturanalysen. G. Fischer, 1993.

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6

Theodoulidis, Theodoros P. Eddy current canonical problems (with applications to nondestructive evaluation). Tech Science Press, 2006.

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7

Orlóci, László. Conapack: Program for canonical analysis of classification tables. SPB Academic, 1992.

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8

Petz, Dénes. An invitation to the algebra of canonical commutation relations. Leuven University Press, 1990.

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9

Anderson, Richard G. Analysis of panel vector error correction models using maximum likelihood, the bootstrap, and canonical-correlation estimators. Federal Reserve Bank of St. Louis, 2006.

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10

Israel, Cohen, and Jacob Benesty. Canonical Correlation Analysis in Speech Enhancement. Springer, 2017.

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11

Gittins, Robert. Canonical Analysis: A Review with Applications in Ecology. Springer, 2011.

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12

Using Heliographs to Represent Canonical Correlation Analysis Results. SAGE Publications, Ltd., 2021. http://dx.doi.org/10.4135/9781529775624.

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13

National Aeronautics and Space Administration (NASA) Staff. Canonical Ensemble Correlation Prediction Model for Seasonal Precipitation Anomaly. Independently Published, 2018.

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14

Theodoros P. Theodoulidis and Epameinondas E. Kriezis. Eddy Current Canonical Problems (with Applications to Nondestructive Evaluation). Tech Science Press, 2006.

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15

Luo, Lei. Power spectrum estimation of sinusoids from white and colored noises using the canonical correlation analysis method. 1989.

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16

Canonical Analysis: A Review with Applications in Ecology. Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 1985.

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17

Chen, Zhiwen. Data-Driven Fault Detection for Industrial Processes: Canonical Correlation Analysis and Projection Based Methods. Springer Vieweg, 2017.

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18

Petz, D., and Dbenes Petz. An Invitation to the Algebra of Canonical Commutation Relations (Leuven Notes in Mathematical and Theoretical Physics). Coronet Books, 1990.

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19

Henriksen, Niels Engholm, and Flemming Yssing Hansen. Rate Constants, Reactive Flux. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805014.003.0005.

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This chapter discusses a direct approach to the calculation of the rate constant k(T) that bypasses the detailed state-to-state reaction cross-sections. The method is based on the calculation of the reactive flux across a dividing surface on the potential energy surface. Versions based on classical as well as quantum mechanics are described. The classical version and its relation to Wigner’s variational theorem and recrossings of the dividing surface is discussed. Neglecting recrossings, an approximate result based on the calculation of the classical one-way flux from reactants to products is

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20

Mann, Peter. Hamilton-Jacobi Theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198822370.003.0019.

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This chapter focuses on Liouville’s theorem and classical statistical mechanics, deriving the classical propagator. The terms ‘phase space volume element’ and ‘Liouville operator’ are defined and an n-particle phase space probability density function is constructed to derive the Liouville equation. This is deconstructed into the BBGKY hierarchy, and radial distribution functions are used to develop n-body correlation functions. Koopman–von Neumann theory is investigated as a classical wavefunction approach. The chapter develops an operatorial mechanics based on classical Hilbert space, and dis

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21

Bulach, Marcia Woolf. Canonical Auto and Cross Correlations of Multivariate Time. Dissertation.com, 1999.

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22

Ye, Jieping, Shuiwang Ji, and Liang Sun. Multi-Label Dimensionality Reduction. Taylor & Francis Group, 2016.

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23

Ye, Jieping, Shuiwang Ji, and Liang Sun. Multi-Label Dimensionality Reduction. Taylor & Francis Group, 2014.

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24

Ye, Jieping, Shuiwang Ji, and Liang Sun. Multi-Label Dimensionality Reduction. Taylor & Francis Group, 2016.

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25

Multilabel Dimensionality Reduction. CRC Press, 2012.

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26

Sissa, Giulia. Bulls and Deer, Women and Warriors. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198818489.003.0006.

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In ancient Greece, manly men were thought to have invented popular rule and were considered capable, and worthy, of ruling themselves. The full appreciation of the gendered nature of democratic culture challenges our canonical vision of ancient politics. First, we have to place gender not at the margin, but at the heart of Athenian political culture. Second, we have to expand our primary ‘must-read’ sources, by including discourses that deal with the embodiment of a political identity: above all, the biological works of Aristotle. This chapter argues for a correlation between physiology and po

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27

Zinn-Justin, Paul, and Jean-Bernard Zuber. Multivariate statistics. Edited by Gernot Akemann, Jinho Baik, and Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.28.

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This article considers some classical and more modern results obtained in random matrix theory (RMT) for applications in statistics. In the classic paradigm of parametric statistics, data are generated randomly according to a probability distribution indexed by parameters. From this data, which is by nature random, the properties of the deterministic (and unknown) parameters may be inferred. The ability to infer properties of the unknown Σ (the population covariance matrix) will depend on the quality of the estimator. The article first provides an overview of two spectral statistical technique

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28

Wendling, Fabrice, Marco Congendo, and Fernando H. Lopes da Silva. EEG Analysis. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0044.

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This chapter addresses the analysis and quantification of electroencephalographic (EEG) and magnetoencephalographic (MEG) signals. Topics include characteristics of these signals and practical issues such as sampling, filtering, and artifact rejection. Basic concepts of analysis in time and frequency domains are presented, with attention to non-stationary signals focusing on time-frequency signal decomposition, analytic signal and Hilbert transform, wavelet transform, matching pursuit, blind source separation and independent component analysis, canonical correlation analysis, and empirical mod

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29

Kirichenko, Alexander. Greek Literature and the Ideal. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780192866707.001.0001.

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Abstract The contention of this book is that the development of Greek literature was motivated by the need to endow political geography with a sense of purposeful structure. It views Greek literature as a crucial factor in the cultural production of space and Greek geography as a crucial factor in the production of literary meaning. Its focus is on the idealizing images that Greek literature created of three spatial patterns of power distribution—a decentralized network of aristocratically governed communities (archaic Greece), a democratic city controlling an empire (classical Athens), and a

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30

Gustafson, Karl. Operator Geometry in Statistics. Edited by Frédéric Ferraty and Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.13.

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This article discusses the essentials of operator trigonometry developed by the author as it applies to statistics, with emphasis on key elements such as operator antieigenvalues, operator antieigenvectors, and operator turning angles. Operator trigonometry started out infinite dimensional, and remains infinite dimensional, even for Banach spaces. Thus, it is in principle applicable not only to infinite-dimensional statistics but also to cases involving functional data. The article first considers how operator trigonometry gives new geometrical meaning to statistical efficiency before formaliz

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31

Gelbart, Matthew. Musical Genre and Romantic Ideology. Oxford University PressNew York, 2022. http://dx.doi.org/10.1093/oso/9780190646929.001.0001.

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Abstract European Romanticism gave rise to a powerful discourse equating genres to constrictive rules and forms that great art should transcend; and yet without the categories and intertextual references we hold in our minds, “music” would be meaningless noise. This book teases out that paradox, charting the workings and legacies of Romantic artistic values such as originality and anti-commercialism in relation to musical genre. Genre’s persistent power was amplified by music’s inevitably practical social, spatial, and institutional frames. Furthermore, starting in the nineteenth century, all

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