標本$${D=\{x_1, \cdots, x_n\}}$$が従う確率密度$${f({\bm x})}$$をカーネル関数$${K({\bm x},{\bm x}')}$$を用いて、 $${\hat f_{KDE}({\bm x ...

The KDE procedure performs either univariate or bivariate kernel density estimation. Statistical density estimation involves approximating a hypothesized probability density function from observed ...

How to Call Our MASS_{CR} and MASS_{OPT} Code? In order to compile our C++ code, you need to write the following shell scripts in the ".sh file". g++ -c init_visual.cpp -o init_visual.o g++ -c ...

Nonparametric methods provide a flexible framework for estimating the probability density function of random variables without imposing a strict parametric model. By relying directly on observed data, ...