Related references
Note: Only part of the references are listed.Recent advances in directional statistics
Arthur Pewsey et al.
TEST (2021)
On Optimal Tests for Rotational Symmetry Against New Classes of Hyperspherical Distributions
Eduardo Garcia-Portugues et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2020)
Bregman Divergence Bounds and Universality Properties of the Logarithmic Loss
Amichai Painsky et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2020)
A novel hierarchical clustering analysis method based on Kullback-Leibler divergence and application on dalaimiao geochemical exploration data
Jie Yang et al.
COMPUTERS & GEOSCIENCES (2019)
Scaled von Mises-Fisher Distributions and Regression Models for Paleomagnetic Directional Data
J. L. Scealy et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2019)
A New Unified Approach for the Simulation of a Wide Class of Directional Distributions
John T. Kent et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2018)
An elliptically symmetric angular Gaussian distribution
P. J. Paine et al.
STATISTICS AND COMPUTING (2018)
Blessing of dimensionality: mathematical foundations of the statistical physics of data
A. N. Gorban et al.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2018)
The multivariate Watson distribution: Maximum-likelihood estimation and other aspects
Suvrit Sra et al.
JOURNAL OF MULTIVARIATE ANALYSIS (2013)
Chemical gas sensor drift compensation using classifier ensembles
Alexander Vergara et al.
SENSORS AND ACTUATORS B-CHEMICAL (2012)
Concept decompositions for large sparse text data using clustering
IS Dhillon et al.
MACHINE LEARNING (2001)
Share Paper
