Abstract: In this tutorial paper the basic principles of least squares estimation are introduced and applied to the solution of some filtering, prediction, and smoothing problems involving stochastic ...

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ABSTRACT: The Negative Binomial Multiple Change Point Algorithm is a hybrid change detection and estimation approach that works well for overdispersed and equidispersed count data. This simulation ...

In sets of closely related species, phylogenetic approaches based on sequence alignments can be problematic because individual short alignments may not contain sufficient information for phylogenetic ...

Abstract: With the advent of big data era, data with high dimensions are becoming ubiquitous. In the last two decades regularization approaches have become the methods of choice for analyzing high ...

ABSTRACT: In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning ...

The Nature Index 2024 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. An easy-to-implement noise estimation method for tuning state estimators is proposed.

As noted in my editorial, eNeuro has launched a new initiative to include estimation statistics in the analysis of results. To learn more about the approach of using estimation statistics for ...

This tutorial describes how to use ldsc to estimate LD Scores from plink format .bed/.bim/.fam filesets. If you are interested in estimating genetic correlation or the LD Score regression intercept ...