Haplotype inference is an indispensable technique in medical science, especially in genome-wide association studies. Although the conventional method of inference using the expectation-maximization ...

I’m on X @LetIt_BNoted, where I write long-form posts about statistics, data science, and AI with technical clarity, emotional depth, and poetic metaphors that embrace cartoon logic. Hope to see you ...

This example estimates the normal SSM of the mink-muskrat data using the EM algorithm. The mink-muskrat series are detrended. Refer to Harvey (1989) for details of this data set. Since this EM ...

Image denoising using the EM algorithm with Gaussian Mixture Models (GMMs) on MNIST patches, reconstructing clean images from corrupted ones. This project implements the Expectation-Maximization (EM) ...

Many disease resistance traits in plants have a polygenic background and the disease phenotypes are modified by environmental factors. As a consequence, the phenotypic values usually show a ...

Abstract: As we all know, when estimating the parameters of an unknown population, the loss of samples due to some factors after sample sampling will have a certain impact on the parameter estimation, ...