Devon K. Barrow

Economics and Econometrics · 2010–2020

A researcher in the Science corpus: 4 papers; trusts 27 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 239 citations into it
• Management Science and Operations Research — 223 citations into it; #4,746 of 11,946 by trust here, #4,746 by citations
• Statistics and Probability — 96 citations into it
• Artificial Intelligence — 88 citations into it; #32,178 of 35,345 by trust here, #32,362 by citations
• Signal Processing — 38 citations into it
• Time-Series & Forecasting — 37 citations into it
• Global and Planetary Change — 25 citations into it
• Evaluation & Benchmarks — 24 citations into it

Whom Devon K. Barrow trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Leo Breiman
2. Spyros Makridakis
3. Jerome H. Friedman
4. Robert E. Schapire
5. Hans R. Künsch
6. M. Hibon
7. Yoav Freund
8. Rob J Hyndman
9. James H. Stock
10. Sven F. Crone

Who trusts Devon K. Barrow overall

1. Kasun Bandara
2. Christoph Bergmeir
3. Nikolaos Kourentzes
4. Fotios Petropoulos
5. Slawek Smyl
6. Sven F. Crone
7. Rob J Hyndman

Papers from Devon K. Barrow's perspective

Ordered by how strongly the researchers Devon K. Barrow trusts endorse each paper. Same corpus, a different order for every researcher.

1. Bagging Predictors
2. Regression Shrinkage and Selection via the Lasso
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Estimating the Dimension of a Model
5. The Elements of Statistical Learning
6. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
7. Random Forests
8. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation
9. The Combination of Forecasts
10. Pattern Recognition and Machine Learning

Their papers

• A comparison of AdaBoost algorithms for time series forecast combination (2016) — 68 citations
• Neural network ensemble operators for time series forecasting (2014) — 314 citations
• An evaluation of neural network ensembles and model selection for time series prediction (2010) — 43 citations
• Forecasting: theory and practice (2020) — 551 citations