Applied Statistics

Applied statistics: A review

The main phases of applied statistical work are discussed in general terms. The account starts with the clarification of objectives and proceeds through study design, measurement and analysis to interpretation. An attempt is made to extract some general notions. 1. Introduction. The extremely welcome founding of the Annals of Applied Statistics prompts the question: what are the central princip...

Machine Learning in Applied Statistics

This special issue of Model Assisted Statistics and Applications (MASA) focused on knowing how current machine learning methods can be applied to diverse statistics areas. We have ten papers about the recent machine learning developments and applications, including survey sampling, biostatistics, bioinformatics, genetics, time series analysis, and technology forecasting. The issue starts with a...

Applied Statistics: Analysis of Variance and Regression

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Applied Statistics for Bioinformatics using R

Statistics on Manifolds applied to Shape Theory

In this report, we use a variety of tools from differential geometryto propose a nonlinear extension of the principal components analysis (PCA)into manifolds setting. This extension, that we shall call principal geodesicsanalysis (PGA), attempts to find analogs of the principal components byintroducing the principal geodesic components. We then construct theshape space of tr...