Maths & Stats

• 2
• 1 Students
• All Levels

Courselet

The Expectation Maximization (EM) Algorithm is a statistical technique for finding maximum likelihood estimates of parameters..

• 2
• 9 Students
• All Levels

Courselet

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

• 4
• 9 Students
• All Levels

Courselet

Research Results Presented by Prof. Natalie Packham

• 2
• 31 Students
• All Levels

Courselet

Hierarchical Clustering

• 2
• 3 Students
• All Levels

Courselet

Localising Forward Intensities for Multiperiod Default

• 2
• 36 Students
• All Levels

Courselet

Introduction of Minimum Spanning Tree and its applications.

• 2
• 5 Students
• All Levels

Courselet

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

• 2
• 17 Students
• All Levels

Courselet

Short course on Network Centrality Measures, theory and applications.

• 2
• 0 Students
• All Levels

Courselet

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

• 2
• 4 Students
• All Levels

Courselet

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