The course also covers simple non-parametric tests for comparing groups of observations. Methods such as the bootstrap for constructing confidence intervals in the case of skewed data is also covered.

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Most of the statistical methods you are likely to have encountered will have specified fixed functional ... In this course we’ll show you how to leverage the power and flexibility of splines to go ...

Abstract: Regression-based 3D human pose and shape estimation often fall into one of two different paradigms. Parametric approaches, which regress the parameters of ... We demonstrate the ...

Past performance is not indicative of future results. The above frequency distribution chart presents information about the difference between the daily market price for shares of the Fund and the ...

The performance of the model estimation methods is evaluated using different performance metrics on a set of labeled EEG data from 18 subjects listening to mixtures of two speech streams. We find that ...

Global corporate insurer Descartes Underwriting has launched a new parametric insurance product to protect utility-scale solar farms against tornado damage. The product’s coverage leverages satellite ...

Optical parametric oscillators simultaneously generate two beams of coherent light that are widely tunable in wavelength. This flexibility makes them a popular tool in various areas of scientific ...

A change in presidential administrations can influence federal enforcement agencies’ priorities, how they interpret laws and guidelines, and how ...

The aim of the course is to make the participants acquainted with basic statistical ideas and methods. No special previous knowledge of mathematics or statistics is assumed. The statistical software R ...