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\name{s_fit_primitive}
\alias{s_fit_primitive}
\docType{methods}
\title{Estimate Student's t distribution parameters using Batch Approximation Algorithm.}
\description{
Estimates parameters for univariate Student's t distribution
parameters using Batch Approximation Algorithm, according to Fig. 2
of Aeschliman et al. (2010).
}
\usage{
s_fit_primitive( x )
}
\arguments{
\item{x}{data vector}
}
\value{
Vector \code{c( mu, k, ni )}, where
mu is the center,
k is the concentration and
ni is the degrees of freedom of the distribution.
}
\references{
Aeschliman, C.; Park, J. & Kak, A. C. A
Novel Parameter Estimation Algorithm for the Multivariate t-Distribution
and Its Application to Computer Vision
European Conference on Computer Vision 2010, 2010
\url{https://engineering.purdue.edu/RVL/Publications/Aeschliman2010ANovel.pdf}
}
\author{Andrius Merkys}
|
