Efficient von Mises-Fisher concentration parameter estimation using Taylor series
Research output: Contribution to journal › Article › peer-review
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In: Journal of Statistical Computation and Simulation, Vol. 85, No. 16, 02.11.2015, p. 3259-3265.
Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Efficient von Mises-Fisher concentration parameter estimation using Taylor series
AU - Christie, David
PY - 2015/11/2
Y1 - 2015/11/2
N2 - A simple method is outlined for constructing a Taylor series for the Maximum Likelihood Estimate of the von Mises–Fisher concentration parameter based around an initial heuristic estimate. While existing treatments require multiple computationally intensive calculations of a Bessel ratio, this method provides accurate results using only one such calculation. The accuracy of the method is tested extensively, and the reuse of the Taylor series for multiple calculations is explored.
AB - A simple method is outlined for constructing a Taylor series for the Maximum Likelihood Estimate of the von Mises–Fisher concentration parameter based around an initial heuristic estimate. While existing treatments require multiple computationally intensive calculations of a Bessel ratio, this method provides accurate results using only one such calculation. The accuracy of the method is tested extensively, and the reuse of the Taylor series for multiple calculations is explored.
KW - von Mises-Fisher distribution
KW - concentration parameter
KW - Langevin distribution
KW - parameter estimation
KW - von Mises distribution
U2 - 10.1080/00949655.2014.965169
DO - 10.1080/00949655.2014.965169
M3 - Article
VL - 85
SP - 3259
EP - 3265
JO - Journal of Statistical Computation and Simulation
JF - Journal of Statistical Computation and Simulation
SN - 0094-9655
IS - 16
ER -