#kerneldensityestimation — Public Fediverse posts

At my work we use kernel density estimation to estimate a density distribution from a set of measured points (we measure the size and refractive index of microparticles in liquid samples). I found a paper that relates kernel density estimation to Gaussian process based approaches. I haven't finished reading the paper yet, but it seems that kernel density estimation is a frequentist approach while Gaussian process techniques take a Bayesian perspective. https://arxiv.org/abs/2506.17366

#frequentist
#bayesian
#kernelDensityEstimation

3/3

At my work we use kernel density estimation to estimate a density distribution from a set of measured points (we measure the size and refractive index of microparticles in liquid samples). I found a paper that relates kernel density estimation to Gaussian process based approaches. I haven't finished reading the paper yet, but it seems that kernel density estimation is a frequentist approach while Gaussian process techniques take a Bayesian perspective. https://arxiv.org/abs/2506.17366

#frequentist
#bayesian
#kernelDensityEstimation

3/3

At my work we use kernel density estimation to estimate a density distribution from a set of measured points (we measure the size and refractive index of microparticles in liquid samples). I found a paper that relates kernel density estimation to Gaussian process based approaches. I haven't finished reading the paper yet, but it seems that kernel density estimation is a frequentist approach while Gaussian process techniques take a Bayesian perspective. https://arxiv.org/abs/2506.17366

#frequentist
#bayesian
#kernelDensityEstimation

3/3

At my work we use kernel density estimation to estimate a density distribution from a set of measured points (we measure the size and refractive index of microparticles in liquid samples). I found a paper that relates kernel density estimation to Gaussian process based approaches. I haven't finished reading the paper yet, but it seems that kernel density estimation is a frequentist approach while Gaussian process techniques take a Bayesian perspective. https://arxiv.org/abs/2506.17366

#frequentist
#bayesian
#kernelDensityEstimation

3/3

At my work we use kernel density estimation to estimate a density distribution from a set of measured points (we measure the size and refractive index of microparticles in liquid samples). I found a paper that relates kernel density estimation to Gaussian process based approaches. I haven't finished reading the paper yet, but it seems that kernel density estimation is a frequentist approach while Gaussian process techniques take a Bayesian perspective. https://arxiv.org/abs/2506.17366

#frequentist
#bayesian
#kernelDensityEstimation

3/3