Applied Directional Statistics : Modern Methods and Case Studies /
edited by Christophe Ley and Thomas Verdebout.
- First edition.
- 1 online resource (318 pages)
- Chapman & Hall/CRC Interdisciplinary Statistics .
- Chapman & Hall/CRC Interdisciplinary Statistics. .
Includes bibliographical references and index.
License restrictions may limit access. 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 Garca-Portugus, 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 Rodrguez 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 -- -- =506 \\
This book collects important advances in methodology and data analysis for directional statistics. It is the companion book of the more theoretical treatment presented in Modern Directional Statistics (CRC Press, 2017) The field of directional statistics has received a lot of attention due to demands from disciplines such as life sciences or machine learning, the availability of massive data sets requiring adapted statistical techniques, and technological advances. This book covers important progress in bioinformatics, biology, astrophysics, oceanography, environmental sciences, earth sciences, machine learning and social sciences.
9781315228570
Mathematical statistics.
Circular data.
Spherical data.
Electronic books.
QA276
519.5
Includes bibliographical references and index.
License restrictions may limit access. 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 Garca-Portugus, 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 Rodrguez 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 -- -- =506 \\
This book collects important advances in methodology and data analysis for directional statistics. It is the companion book of the more theoretical treatment presented in Modern Directional Statistics (CRC Press, 2017) The field of directional statistics has received a lot of attention due to demands from disciplines such as life sciences or machine learning, the availability of massive data sets requiring adapted statistical techniques, and technological advances. This book covers important progress in bioinformatics, biology, astrophysics, oceanography, environmental sciences, earth sciences, machine learning and social sciences.
9781315228570
Mathematical statistics.
Circular data.
Spherical data.
Electronic books.
QA276
519.5