Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- 1 Introduction
- 2 Bases, Penalties, and Likelihoods
- 3 Optimal Smoothing in Action
- 4 Multidimensional Smoothing
- 5 Smoothing of Scale and Shape
- 6 Complex Counts and Composite Links
- 7 Signal Regression
- 8 Special Subjects
- Appendix A P-splines for the Impatient
- Appendix B P-splines and Competitors
- Appendix C Computational Details
- Appendix D Array Algorithms
- Appendix E Mixed Model Equations
- Appendix F Standard Errors in Detail
- Appendix G The Website
- References
- Index
7 - Signal Regression
Published online by Cambridge University Press: 25 February 2021
- Frontmatter
- Dedication
- Contents
- Preface
- 1 Introduction
- 2 Bases, Penalties, and Likelihoods
- 3 Optimal Smoothing in Action
- 4 Multidimensional Smoothing
- 5 Smoothing of Scale and Shape
- 6 Complex Counts and Composite Links
- 7 Signal Regression
- 8 Special Subjects
- Appendix A P-splines for the Impatient
- Appendix B P-splines and Competitors
- Appendix C Computational Details
- Appendix D Array Algorithms
- Appendix E Mixed Model Equations
- Appendix F Standard Errors in Detail
- Appendix G The Website
- References
- Index
Summary
- Type
- Chapter
- Information
- Practical SmoothingThe Joys of P-splines, pp. 114 - 130Publisher: Cambridge University PressPrint publication year: 2021