Bayesian Hierarchical Functional Data Analysis for Healthy Menstrual CyclesCalvin L Williams* and Trevor Partridge
Department of Mathematical Sciences, Clemson University, Clemson, SC 29634-1907, USA
- Corresponding Author:
- Calvin L Williams
Department of Mathematical Sciences, lemson University, Clemson, SC 29634- 1907, USA
E-mail: [email protected]
Received: 04/09/2015 Accepted: 09/11/2015 Published: 25/11/2015
In almost every field of study, studying the distribution of a random curve can give needed information. In the field of in vitro fertilization, particular interest is given to modeling the temperature curves of women across their menstrual cycle. Fitting the curve can lead to categorizing cycles as healthy or unhealthy and can help identify the most fertile days of a cycle.