Applied Directional Statistics : Modern Methods and Case Studies / Christophe Ley, Thomas Verdebout.

Academic

Introduction Christophe Ley and Thomas Verdebout 1. Directional Statistics in Protein Bioinformatics Kanti V. Mardia, Jesper Illemann Foldager, and Jes Frellsen 2. Statistics of Orientations of Symmetrical Objects Richard Arnold and Peter Jupp 3. Correlated Cylindrical Data Francesco Lagona 4. Toroidal Diffusions and Protein Structure Evolution Eduardo García-Portugués, Michael Golden, Michael Soerensen, Kanti V. Mardia, Thomas Hamelryck, Jotun Hein 5. Noisy Directional Data Thanh Mai Pham Ngoc 6. On Modelling of SE(3) Objects Louis-Paul Rivest and Karim Oualkacha 7.

Spatial and Spatio-temporal Circular Processes with Application to Wave Direction Giovanna Jona-Lasinio, Alan E. Gelfand, and Gianluca Mastrantonio 8. Cylindrical Distributions and their Applications to Biological Data Toshihiro Abe & Ichiro Ken Shimatani 9. Directional Statistics for Wildfires Jose Ameijeiras-Alonso, Rosa M. Crujeiras, Alberto Rodríguez Casal 10. Bayesian Analysis of Circular Data in Social and Behavioural Sciences Irene Klugkist, Jolien Cremers, and Kees Mulder 11. Nonparametric Classification for Circular Data Marco Di Marzio, Stefania Fensore, and Charles C. Taylor 12.

Directional Statistics in Machine Learning: A Brief Review Suvrit Sra 13. A pplied Directional Statistics with R: an Overview Arthur Pewsey 　 　

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