Evangelos Spiliotis

Management Science and Operations Research · 2018–2020

A researcher in the Science corpus: 9 papers; trusts 38 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 315 citations into it; #1,581 of 11,946 by trust here, #1,155 by citations
• Economics and Econometrics — 281 citations into it; #13,246 of 23,481 by trust here, #12,103 by citations
• Statistics and Probability — 140 citations into it; #4,009 of 12,932 by trust here, #3,038 by citations
• Finance — 116 citations into it
• Artificial Intelligence — 105 citations into it
• Signal Processing — 72 citations into it; #5,363 of 7,572 by trust here, #3,428 by citations
• Time-Series & Forecasting — 70 citations into it; #45 of 381 by trust here, #37 by citations
• Electrical and Electronic Engineering — 68 citations into it

Whom Evangelos Spiliotis trusts overall

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

1. Everette S. Gardner Jr.
2. Rob J Hyndman
3. Spyros Makridakis
4. Vassilios Assimakopoulos
5. Fotios Petropoulos
6. Konstantinos Nikolopoulos
7. Dimitrios D. Thomakos
8. Nikolaos Kourentzes
9. Paul Goodwin
10. Anne B. Koehler

Who trusts Evangelos Spiliotis overall

1. Boris N. Oreshkin
2. Fotios Petropoulos
3. Spyros Makridakis
4. Slawek Smyl
5. Vassilios Assimakopoulos
6. Alexei Botchkarev
7. Weiwei Jiang
8. Yitian Chen
9. Dmitri Carpov
10. Konstantinos Nikolopoulos

Papers from Evangelos Spiliotis's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Estimating the Dimension of a Model
3. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation
4. Bagging Predictors
5. Combining forecasts: A review and annotated bibliography
6. The Combination of Forecasts
7. The accuracy of intermittent demand estimates
8. Out-of-sample tests of forecasting accuracy: an analysis and review
9. EXPONENTIAL SMOOTHING: THE STATE OF THE ART, PART II
10. Combination forecasts of output growth in a seven-country data set

Their papers

• The M4 Competition: 100,000 time series and 61 forecasting methods (2020) — 970 citations
• Forecasting with a hybrid method utilizing data smoothing, a variation of the Theta method and shrinkage of seasonal factors (2018) — 28 citations
• The M4 Competition: Results, findings, conclusion and way forward (2018) — 686 citations
• Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018) — 1,376 citations
• Are forecasting competitions data representative of the reality? (2020) — 79 citations
• Forecasting: theory and practice (2020) — 551 citations
• Predicting/hypothesizing the findings of the M4 Competition (2020) — 31 citations
• Tales from tails: On the empirical distributions of forecasting errors and their implication to risk (2019) — 11 citations
• Objectivity, reproducibility and replicability in forecasting research (2018)