The generalized von Mises distribution
By R. Gatto, S. Jammalamadaka. 2007
159 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Mathematical Physics
View Paper: https://www.semanticscholar.org/paper/5b6684e8df8ea9c440a99cd124e6d0cf078de6a9
How researchers see this paper
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In Artificial Intelligence
- Shogo Kato
- M. Chris Jones
- Toshihiro Abe
- Arthur Pewsey
- Christophe Ley
- M. Di Marzio
- A. Panzera
- Charles C. Taylor
In Mathematical Physics
Citations in the corpus
- A Family of Distributions on the Circle With Links to, and Applications Arising From, Möbius Transformation (2010, background): “To see this, note that Gatto and Jammalamadaka (2007) showed that the condition determining the unimodality or otherwise of the GvM distribution also can be reduced to the behavior of the roots of a quartic equation.”
- Sine-skewed circular distributions (2011, methodology): “According to Siew et al. (2008), when these data are treated as being continuous, the MLL values for their generalized t model and its special cases of the generalized von Mises (Maksimov 1967; Gatto and Jammalamadaka 2007 ), generalized cardioid and generalized wrapped Cauchy distributions are −11”
- Learning the Irreducible Representations of Commutative Lie Groups (2014, unknown): “We have found that the conjugate prior for this likelihood is the generalized von-Mises (Gatto & Jammalamadaka, 2007): where T + ( s ) = [cos( s ) , sin( s ) , . . . , cos( Ks ) , sin( Ks )] T .”
- On Families of Distributions with Shape Parameters (2015, unknown): “Again, unimodality will be very much to the fore, although on C “multiplicative mix-tures” such as the generalized von Mises distribution (e.g. Gatto & Jammalamadaka, 2007) compete with ordinary mixtures for modelling multimodality.”