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## Scatter in log-space: converting between dex and percentage

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Those of us who work in astrophysics frequently analyze the logarithms of quantities of interest due to their large dynamic range. Thus, a lot of predictive modeling tasks that we work on aim to predict $\log_{10}(X)$ rather than $X$ itself. Two of the main summary statistics that we use to describe the predictive power of a model are the scatter and bias of the residuals. If working in log-space, the residuals are $\mathcal{R} = \log_{10}(X_\mathrm{pred}) - \log_{10}(X_\mathrm{true})$. It’s quite common that the the scatter is then reported as the standard deviation of the residuals:

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## Paper Title Number 1

Published in Journal 1, 2009

This paper is about the number 1. The number 2 is left for future work.

Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf

## Paper Title Number 2

Published in Journal 1, 2010

This paper is about the number 2. The number 3 is left for future work.

Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf

## Paper Title Number 3

Published in Journal 1, 2015

This paper is about the number 3. The number 4 is left for future work.

Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf

## Talk 1 on Relevant Topic in Your Field

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## Conference Proceeding talk 3 on Relevant Topic in Your Field

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## Teaching experience 1

Undergraduate course, University 1, Department, 2014

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## Teaching experience 2

Workshop, University 1, Department, 2015

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