生成并绘制经验联合pdf和CDF

时间:2013-09-05 14:51:22

标签: matlab stochastic-process

给定一对两个变量(X,Y),如何在vanilla MATLAB(无工具箱)中生成和绘制经验联合PDF和CDF?

1 个答案:

答案 0 :(得分:8)

原始答案(Matlab R2015a或更低版本)

数据是:

  • 随机变量X,Y:定义为样本XY的载体。
  • x,y轴处的bin边缘:由向量x_axisy_axis定义。边缘必须明显增加,但不必均匀间隔。

生成的PDF和CDF定义在由x和y边确定的矩形的中心。

要以3D形式绘制结果,请使用surf(...)代替imagesc(...)

clear all

%// Data (example):
X = randn(1,1e5); %// random variables.
Y = randn(1,1e5);

x_axis = -3:.2:3; %// Define edges of bins for x axis. Column vector
y_axis = -3:.2:3; %// Same for y axis

%// Compute corners of 2D-bins:
[x_mesh_upper,y_mesh_upper] = meshgrid(x_axis(2:end),y_axis(2:end));
[x_mesh_lower,y_mesh_lower] = meshgrid(x_axis(1:end-1),y_axis(1:end-1));

%// Compute centers of 1D-bins:
x_centers = (x_axis(2:end)+x_axis(1:end-1))/2;
y_centers = (y_axis(2:end)+y_axis(1:end-1))/2;

%// Compute pdf:
pdf = mean( bsxfun(@le, X(:), x_mesh_upper(:).') ...
    & bsxfun(@gt, X(:), x_mesh_lower(:).') ...
    & bsxfun(@le, Y(:), y_mesh_upper(:).') ...
    & bsxfun(@gt, Y(:), y_mesh_lower(:).') );
pdf = reshape(pdf,length(x_axis)-1,length(y_axis)-1); %// pdf values at the
%// grid points defined by x_centers, y_centers
pdf = pdf ./ (y_mesh_upper-y_mesh_lower) ./ (x_mesh_upper-x_mesh_lower);
%// normalize pdf to unit integral

%// Compute cdf:
cdf = mean( bsxfun(@le, X(:), x_mesh_upper(:).') ...
    & bsxfun(@le, Y(:), y_mesh_upper(:).') );
cdf = reshape(cdf,length(x_axis)-1,length(y_axis)-1);

%// Plot pdf
figure
imagesc(x_centers,y_centers,pdf)
axis xy
axis equal
colorbar
title 'pdf'

%// Plot cdf
figure
imagesc(x_centers,y_centers,cdf)
axis xy
axis equal
colorbar
title 'cdf'

PDF CDF

编辑答案(Matlab R2015b或更高版本)

Matlab R2015b包含一个histogram2功能,可以完成所有工作。它会自动进行规范化以获取PDF(给定适当的输入标志),甚至是CDF。

使用与上面相同的例子,

clear all

%// Data (example):
X = randn(1,1e5); % random variables.
Y = randn(1,1e5);

x_axis = -3:.2:3; % Define edges of bins for x axis. Column vector
y_axis = -3:.2:3; % Same for y axis

%// Compute and plot pdf
figure
histogram2(X, Y, x_axis, y_axis, 'Normalization', 'pdf')

%// Compute and plot cdf
figure
histogram2(X, Y, x_axis, y_axis, 'Normalization', 'cdf')

PDF, R2010b CDF, R2015b