Title
Parameter Estimation For Multiple Scattering Process On The Sphere
Abstract
This paper considers the problem of parameter estimation for multiple scattering process on the sphere. Using harmonic analysis, a Fourier expansion of the pdf of the process is obtained. Based on the Fourier coefficient statistics, we consider the problem of estimating the parameter of the process using an Approximate Bayesian Computation (ABC) approach. Simulations show the ability of the proposed approach for the density estimation of intensity and concentration parameters for the von Mises Fisher multiple scattering process.
Year
Venue
Keywords
2015
2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP)
Multiple scattering process on the sphere, Harmonic analysis, Method of Moments, Bayesian Inference, Approximate Bayesian Computation, von Mises-Fisher distribution
Field
DocType
ISSN
Density estimation,Mathematical optimization,Convolution,Harmonic analysis,Fourier series,Scattering,Estimation theory,von Mises yield criterion,Mathematics,Method of moments (statistics)
Conference
1520-6149
Citations 
PageRank 
References 
0
0.34
4
Authors
3
Name
Order
Citations
PageRank
Florent Chatelain172.66
Nicolas Le Bihan225423.35
Jonathan H. Manton384371.93