{"version":"1.0","type":"link","title":"Kernel density estimation - Newikis","description":"In statistics, kernel density estimation (KDE) is the application of kernel smoothing for probability density estimation, i.e., a non-parametric method to estimate the probability density function of a random variable based on kernels as weights. KDE answers a fundamental data smoothing problem…","provider_name":"Newikis","provider_url":"https://newikis.com","cache_age":86400,"thumbnail_url":"https://thumb.wikimedia.org/wikipedia/commons/thumb/2/2a/Kernel_density.svg/1280px-Kernel_density.svg.png","thumbnail_width":1280,"thumbnail_height":1024}