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Bayesian data analysis: Difference between revisions
→Parametric formulation
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The advantage of the parametric representation is that the abstract 'system state' is reduced to a finite set of parameters, greatly facilitating numerical analysis. | The advantage of the parametric representation is that the abstract 'system state' is reduced to a finite set of parameters, greatly facilitating numerical analysis. | ||
This parametrization may involve, e.g., smooth (orthogonal) expansion functions such as [[:Wikipedia:Fourier-Bessel_series|Fourier-Bessel functions]], or discretely defined functionals on a grid. | This parametrization may involve, e.g., smooth (orthogonal) expansion functions such as [[:Wikipedia:Fourier-Bessel_series|Fourier-Bessel functions]], or discretely defined functionals on a grid. | ||
<ref>[[doi:10.1088/0741-3335/50/8/085002|J. Svensson et al, ''Current tomography for axisymmetric plasmas'', Plasma Phys. Control. Fusion '''50''' (2008) 085002</ref> | <ref>[[doi:10.1088/0741-3335/50/8/085002|J. Svensson et al, ''Current tomography for axisymmetric plasmas'', Plasma Phys. Control. Fusion '''50''' (2008) 085002]]</ref> | ||
=== Maximization === | === Maximization === | ||