Here is how my thesis is organized:

• Front matter
• Acknowledgements
• Table of contents
• Abstract
• Résumé
• Chapter 1: Introduction
• Chapter 2: Multivariate time series analysis: Some essential notions
• Chapter 3: Analytical and iterative factor modeling
• Chapter 4: Dynamic and spectral factor models
• Chapter 5: Maximum likelihood commonalities
• Chapter 6: Learning via spectral factor model
• Chapter 7: Experiments
• Chapter 8: Extensions
• Bibliography
• Appendix

If you want to have all of it one file, please take it from here.