The von Mises-Fisher distribution is probably the most widely used distribution to model data on the (hyper)sphere. Characterized by the mean direction and concentration parameters, it is symmetrical about the mean direction. The Maximum Likelihood estimator for this parameter is the directional sample mean. However
In this thesis we compare various methods for estimating the unknown parameters in mixtures of circu...
In many of the natural and physical sciences, measurements are directions, either in two or three di...
The von Mises-Fisher family is a parametric family of distributions on the surface of the unit ball,...
The von Mises-Fisher distribution is probably the most widely used distribution to model data on the...
AbstractWe introduce M-estimators for location and concentration parameters of von Mises-Fisher dist...
When analyzing high-dimensional data, it is often appropriate to pay attention only to the direction...
High-dimensional data is central to most data mining applications, and only recently has it been mod...
In high-dimensional directional statistics one of the most basic probability distributions is the vo...
AbstractIn this note we consider von Mises–Fisher families of probability densities on spheres and m...
For the problem of estimating under squared error loss the location parameter of a p-variate spheric...
This thesis is an introduction into directional statistics, a subdiscipline of statistics that occup...
The von Mises-Fisher (vMF) distribution has long been a mainstay for inference with data on the unit...
AbstractFor the problem of estimating under squared error loss the location parameter of a p-variate...
summary:The paper deals with two Mises distributions on the circle with unknown mean directions and ...
International audienceIn directional statistics, the von Mises distribution is a key element in the ...
In this thesis we compare various methods for estimating the unknown parameters in mixtures of circu...
In many of the natural and physical sciences, measurements are directions, either in two or three di...
The von Mises-Fisher family is a parametric family of distributions on the surface of the unit ball,...
The von Mises-Fisher distribution is probably the most widely used distribution to model data on the...
AbstractWe introduce M-estimators for location and concentration parameters of von Mises-Fisher dist...
When analyzing high-dimensional data, it is often appropriate to pay attention only to the direction...
High-dimensional data is central to most data mining applications, and only recently has it been mod...
In high-dimensional directional statistics one of the most basic probability distributions is the vo...
AbstractIn this note we consider von Mises–Fisher families of probability densities on spheres and m...
For the problem of estimating under squared error loss the location parameter of a p-variate spheric...
This thesis is an introduction into directional statistics, a subdiscipline of statistics that occup...
The von Mises-Fisher (vMF) distribution has long been a mainstay for inference with data on the unit...
AbstractFor the problem of estimating under squared error loss the location parameter of a p-variate...
summary:The paper deals with two Mises distributions on the circle with unknown mean directions and ...
International audienceIn directional statistics, the von Mises distribution is a key element in the ...
In this thesis we compare various methods for estimating the unknown parameters in mixtures of circu...
In many of the natural and physical sciences, measurements are directions, either in two or three di...
The von Mises-Fisher family is a parametric family of distributions on the surface of the unit ball,...