The value of feedback in forecasting competitions

By George Athanasopoulos, Rob J Hyndman. 2011

36 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Decision Sciences, Management Science and Operations Research, Evaluation & Benchmarks, Time-Series & Forecasting

How researchers see this paper

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

In Economics and Econometrics

1. Jennifer L. Hill

In General Decision Sciences

1. Jennifer L. Hill

In Management Science and Operations Research

1. Jennifer L. Hill
2. Uri Shalit

In Evaluation & Benchmarks

1. Marc Scott
2. Jennifer L. Hill
3. Daniel Cervone
4. Uri Shalit
5. Vincent Dorie
6. Liangyuan Hu
7. Cynthia Rudin

In Time-Series & Forecasting

1. Uri Shalit

Citations in the corpus

• Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition (2017, methodology): “7This approach is similar to a Kaggle competition (Carpenter, 2011) though there was no public leaderboard or repeat submission opportunities provided; these can induce better performance (Athanasopoulos and Hyndman, 2011) but also lead to overfitting to the test data (Wind and Winther, 2014).”