Kolmogorov–Smirnov Test

By Rand R. Wilcox. 2005

398 citations recorded by the source corpus.

Subfields: Finance, Statistics and Probability, Statistical Learning Theory

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Finance

1. Laura Sevilla-Lara
2. Philip Bachman
3. Doina Precup
4. Joelle Pineau
5. Lorenzo Torresani
6. Riashat Islam
7. David Meger
8. Shengxin Zha

In Statistics and Probability

1. Laura Sevilla-Lara
2. Philip Bachman
3. Doina Precup
4. Joelle Pineau
5. Lorenzo Torresani
6. Riashat Islam
7. David Meger
8. Shengxin Zha

In Statistical Learning Theory

1. Laura Sevilla-Lara
2. Philip Bachman
3. Doina Precup
4. Joelle Pineau
5. Lorenzo Torresani
6. Riashat Islam
7. David Meger
8. Shengxin Zha

Citations in the corpus

• Deep Reinforcement Learning that Matters (2017, methodology): “We consider the simple 2-sample t -test (sorting all final evaluation returns across N random trials with different random seeds); the Kolmogorov-Smirnov test (Wilcox 2005); and bootstrap percent differences with 95% confidence intervals.”
• Only Time Can Tell: Discovering Temporal Data for Temporal Modeling (2019, methodology): “We use the Kolmogorov-Smirnov test [1] to measure if A and B are sampled from the same distribution, for multiple networks N (R(2+1)D and R2D).”
• Measuring Domain Shift for Deep Learning in Histopathology (2020, neutral): “Best viewed digitally.”