Periodic mixture aka Mixture of Wrapped Normal Distributions. Circular Bayesian Statistics.
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Updated
Feb 2, 2017 - Jupyter Notebook
Periodic mixture aka Mixture of Wrapped Normal Distributions. Circular Bayesian Statistics.
A coarse grained circular statistical tool that allows us to estimate the role of local and nonlocal factors in determining both the secondary and tertiary structure of globular proteins.
The Header-Only Library For Random Forests
Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)
Short presentation of package CircSpaceTime at COMPSTAT2018
Spatial and Spatio-Temporal Bayesian Model for Circular Data
🌀 Find, plot, and quantify the relationships between circular and linear data
🔵 Exact Distributions and Performance of some Two-sample Nonparametric Tests for Circular Data
The Hermans-Rasson test for non-uniformity of circular data.
Data for the reproducibility of García-Portugués et al. (2019)
CircHist - circular / polar / angle histogram in MATLAB
Some few methods in Java and Python I picked along the way in my research on the subject.
Estimation of the orientation of fibres in a volume
Circular statistics in python
PCA on the torus using density ridges. Software companion for "Toroidal PCA via density ridges"
Tests for rotational symmetry on the hypersphere. Software companion for "On optimal tests for rotational symmetry against new classes of hyperspherical distributions"
Statistical tools for toroidal diffusions. Software companion for "Langevin diffusions on the torus: estimation and applications"
Clustering routines for the unit sphere
Implementation of uniformity tests on the circle and (hyper)sphere, with a C++ core. The package allows the replication of the data application in "On a projection-based class of uniformity tests on the hypersphere"
Statistical package in Python based on Pandas
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