custom_tpdf.m
来自「toolbox of BVQX, This is the access betw」· M 代码 · 共 106 行
M
106 行
function f = custom_tpdf(x,v)
% custom_tpdf - PDF of Students t distribution
%
% FORMAT: f = custom_tpdf(x, v)
%
% Input fields:
%
% x t-ordinates
% v degrees of freedom (v > 0, non-integer d.f. accepted)
%
% Output fields:
%
% f PDF of t distribution with v d.f. at points x
%
% Note: this function has been copied from the SPM2 package published
% by the Wellcome Department, go here for details:
% http://www.fil.ion.ucl.ac.uk/spm/
% spm_Tpdf implements the Probability Density Function of Students
% t-distributions.
%
% Definition:
%-----------------------------------------------------------------------
% The Student's t-distribution with v degrees of freedom is defined for
% positive integer v and x in (-Inf,Inf), and has Probability Distribution
% Function (PDF) f(x) given by: (See Evans et al., Ch37)
%
% gamma((v+1)/2)
% f(x) = ----------------------- * (1 + x^2/v) ^ -((v+1)/2
% sqrt(pi*v) * gamma(v/2)
%
% This implementation is not restricted to whole (positive integer) df
% v, rather it will compute for any df v>0.
%
% Algorithm:
%-----------------------------------------------------------------------
% Direct computation using the beta function for
% sqrt(pi)*gamma(v/2) / gamma((v+1)/2) = beta(v/2,1/2)
%
% References:
%-----------------------------------------------------------------------
% Evans M, Hastings N, Peacock B (1993)
% "Statistical Distributions"
% 2nd Ed. Wiley, New York
%
% Abramowitz M, Stegun IA, (1964)
% "Handbook of Mathematical Functions"
% US Government Printing Office
%
% Press WH, Teukolsky SA, Vetterling AT, Flannery BP (1992)
% "Numerical Recipes in C"
% Cambridge
%
%_______________________________________________________________________
% @(#)spm_Tpdf.m 2.2 Andrew Holmes 99/04/26
% Version: v0.6c
% Build: 7012416
% Date: Jan-24 2007, 4:10 PM CET
% Author: Andrew Holmes, SPM2
% URL/Info: http://www.fil.ion.ucl.ac.uk/spm/
% argument check
if nargin < 2 || ...
~isa(x, 'double') || ...
~isa(v, 'double') || ...
isempty(v) || ...
any(isnan(x(:))) || ...
any(isinf(v(:)) | isnan(v(:)) | v(:) < 0)
error( ...
'BVQXtools:BadArgument', ...
'Missing or invalid argument given.' ...
);
end
if isempty(x)
f = [];
return;
end
osize = size(x);
if numel(x) == 1 && ...
numel(v) > 1
osize = size(v);
end
x = x(:);
v = v(:);
if numel(v) ~= numel(x) && ...
numel(v) ~= 1 && ...
numel(x) ~= 1
error( ...
'BVQXtools:SizeMismatch', ...
'Invalid number of elements in v.' ...
);
end
if numel(x) ~= numel(v)
if numel(x) == 1
x = repmat(x, size(v));
else
v = repmat(v, size(x));
end
end
% compute and reshape
f = ( (1 + x .^ 2 ./ v) .^ (- (v + 1) / 2) ) ./ ...
(sqrt(v) .* beta(v ./ 2, 1 / 2));
f = reshape(f, osize);
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