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Statistical Machine Learning and Data Analytic Methods for Risk and Insurance
Gareth Peters
School of Mathematical & Computer Sciences
Actuarial Mathematics & Statistics
Research output
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Working paper
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INIS
data
100%
risks
100%
insurance
100%
machine learning
100%
dimensions
30%
reduction
30%
extraction
30%
applications
20%
lectures
20%
information
10%
mortality
10%
modeling
10%
learning
10%
Mathematics
Reduction Method
100%
Data Analytics
100%
Robust Test
50%
Engineering
Feature Extraction
100%
Operational Risk
33%
Real Application
33%
Context Modeling
33%
Illustrates
33%
Chemical Engineering
Learning System
100%
Unsupervised Learning
33%