随机核密度估计中无条件核密度估计、空间条件下静态核密度估计、空间条件下动态核密度估计的三维图matlab代码

以下是三维图的Matlab代码示例，其中包括无条件核密度估计、空间条件下静态核密度估计和空间条件下动态核密度估计的图形：

% 生成一些测试数据
rng default;
n = 500;
x = randn(3,n);

% 无条件核密度估计
[f,xi] = ksdensity(x');
figure;
h = plot3(x(1,:),x(2,:),x(3,:),'k.');
hold on;
ksdensity3(x);
surf(xi{1},xi{2},xi{3},f,'EdgeColor','none','FaceAlpha',0.5);
hold off;
view(-139,36);
axis vis3d;
title('无条件核密度估计');

% 空间条件下静态核密度估计
[f,xi] = ksdensity(x','Kernel','epanechnikov','Support','on');
figure;
h = plot3(x(1,:),x(2,:),x(3,:),'k.');
hold on;
ksdensity3(x,'Kernel','epanechnikov','Support','on');
surf(xi{1},xi{2},xi{3},f,'EdgeColor','none','FaceAlpha',0.5);
hold off;
view(-139,36);
axis vis3d;
title('空间条件下静态核密度估计');

% 空间条件下动态核密度估计
[f,xi] = ksdensity(x','Kernel','epanechnikov','Support','on','NumPoints',100);
figure;
h = plot3(x(1,:),x(2,:),x(3,:),'k.');
hold on;
ksdensity3(x,'Kernel','epanechnikov','Support','on','NumPoints',100);
surf(xi{1},xi{2},xi{3},f,'EdgeColor','none','FaceAlpha',0.5);
hold off;
view(-139,36);
axis vis3d;
title('空间条件下动态核密度估计');

这些代码使用Matlab中的`ksdensity3`函数生成三维图形。这个函数需要安装Matlab的Statistics and Machine Learning Toolbox。