Name		Name	Last commit message	Last commit date
parent directory ..
.gitignore		.gitignore
Bayesian and Information Theoretic ideas.ipynb		Bayesian and Information Theoretic ideas.ipynb
Binomial.ipynb		Binomial.ipynb
Comparing prediction outputs.ipynb		Comparing prediction outputs.ipynb
Comparison with synthetic data.ipynb		Comparison with synthetic data.ipynb
Hit rate.ipynb		Hit rate.ipynb
Kernel Density Estimation.ipynb		Kernel Density Estimation.ipynb
Likelihood.ipynb		Likelihood.ipynb
Properties of hotspots.ipynb		Properties of hotspots.ipynb
Rank ordering.ipynb		Rank ordering.ipynb
Scoring functions.ipynb		Scoring functions.ipynb
Wavelet decompositions.ipynb		Wavelet decompositions.ipynb
common.py		common.py
readme.md		readme.md

readme.md

Evaluating hotspots

In this folder, we consider ways of comparing the outputs of predictions to what really happened: that is, "scoring" predictions. We will also, in the future, consider other properties of predictions which might be of interest.

Introduction

Comparing predictions

Comparison methods

Hit rate
Rank ordering
Likelihood
[Kernel Density Estimation](Kernel Density Estimation.ipynb)
Scoring rules
Wavelet decompositions - Work in progress
Bayesian + Information Theoretic ideas

Examples

Comparison with synthetic data

Future work

[Properties of hotspots](Properties of hotspots.ipynb)