Skip to Content
Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
book

Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators

by Tailen Hsing, Randall Eubank
May 2015
Intermediate to advanced
384 pages
9h 20m
English
Wiley
Content preview from Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators

References

  1. Anderson T 2003 An Introduction to Multivariate Statistical Analysis. Wiley, New York, NY.
  2. Aronszajn N 1950 Theory of reproducing kernels. Trans. Am. Math. Soc. 68, 337–404.
  3. Baker C 1970 Mutual information for Gaussian processes. SIAM J. Appl. Math. 19, 451–458.
  4. Baker C 1973 Joint measures and cross-covariance operators. Trans. Am. Math. Soc. 186, 273–289.
  5. Basilevsky A 1994 Statistical Factor Analysis and Related Methods: Theory and Applications. Wiley, New York, NY.
  6. Bass R 2011 Stochastic Processes. Cambridge University Press, Cambridge.
  7. Berlinet A and Thomas-Agnan C 2004 Reproducing Kernel Hilbert Spaces in Probability and Statistics. Kluwer Academic Publishers, Boston, MA.
  8. Bickel P and Levina E 2004 Some theory for Fisher's linear discriminant function, ‘naive bayes’, and some alternatives when there are many more variables than observations. Bernoulli 10, 989–1010.
  9. Billingsley P 1995 Probability and Measure, Third Edition. Wiley, New York, NY.
  10. Billingsley P 1999 Convergence of Probability Measures. Wiley, New York, NY.
  11. Birkhoff G 1908 Boundary value and expansion problems of ordinary linear differential equations. Trans. Am. Math. Soc. 9, 373–395.
  12. Bochner S 1933 Integration von funktionen, deren werte die elemente eines vektorraumes sind. Fundam. Math. 20, 262–276.
  13. Cai T and Yuan M 2010 Nonparametric covariance function estimation for functional and longitudinal data. manuscript.
  14. Cai T and Yuan M 2011 Optimal estimation of the mean function based on discretely ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Multivariate Time Series Analysis and Applications

Multivariate Time Series Analysis and Applications

William W. S. Wei
Regression Analysis with Python

Regression Analysis with Python

Luca Massaron, Alberto Boschetti

Publisher Resources

ISBN: 9780470016916Purchase book