Maths & Stats

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• 19 Students
• All Levels

Courselet

This course unit explains the Delaunay triangulation and touches the Minimum Spanning Tree (MST) construction and the alpha s..

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• 10 Students
• All Levels

Courselet

Research Results Presented by Prof. Natalie Packham

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• 19 Students
• All Levels

Courselet

Short course on Network Centrality Measures, theory and applications.

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• 130 Students
• All Levels

Courselet

Hierarchical Clustering

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• 5 Students
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Courselet

This Courselet explains AIC and BIC links it to FPE and applies to bandwidth selection

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• 135 Students
• All Levels

Courselet

Introduction of Minimum Spanning Tree and its applications.

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• 12 Students
• All Levels

Courselet

Introduction of Generalized Method of Moments (GMM) including the motivation, methodology and application in finance.

• 3
• 15 Students
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Courselet

In this courselet, we use the Tukey's gh transformation to model non-normality by modifying random variables.

• 3
• 6 Students
• All Levels

Courselet

Introduction to U-Statistics with examples and their properties

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• 3 Students
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Courselet

Localising Forward Intensities for Multiperiod Default

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• 2 Students
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Courselet

A new semiparametric model for the Amihud illiquidity measure

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• 5 Students
• All Levels

Courselet

Brief introduction on the mathematics behind the popular machine learning tool called Support Vector Machine: the Reproducing..

• 1
• 2 Students
• All Levels

Courselet

Einführung in die Konzepte der Regression, Korrelation und Kausalität. Nichtparametrischee Schätzungen. Schätzen, Testen und..

• 1
• 1 Students
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Courselet

Einführung in die Konzepte der Regression, Korrelation und Kausalität. Nichtparametrischee Schätzungen. Schätzen, Testen und..

• 1
• 0 Students
• All Levels

Courselet

Einführung in die Konzepte der Regression, Korrelation und Kausalität. Nichtparametrischee Schätzungen. Schätzen, Testen und..

• 1
• 7 Students
• All Levels

Courselet

This is the courselet for the paper: Spilak, B., Härdle, W.K. (2021). Tail-Risk Protection: Machine Learning Meets Modern Eco..

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• 0 Students
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Courselet

Video to the Paper Nonparametric Variance Estimation with MAR missing values in the predictor

• 2
• 0 Students
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Courselet

Penalized least squares methods are a class of techniques in statistics and machine learning that modify the traditional leas..

• 1
• 0 Students
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Courselet

A quasi-Bayesian approach for performing inference on structural parameters

• 2
• 0 Students
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Courselet

We develop early stopping rules for growing regression tree estimators. The fully data-driven stopping rule is based on monit..