Hossein Hassani

Economics and Econometrics · 2009–2021

A researcher in the Science corpus: 18 papers; trusts 44 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 82 citations into it; #10,925 of 23,481 by trust here, #16,755 by citations
• Management Science and Operations Research — 49 citations into it; #2,816 of 11,946 by trust here, #2,539 by citations
• Artificial Intelligence — 47 citations into it
• Finance — 38 citations into it
• Sociology and Political Science — 31 citations into it
• Statistics and Probability — 23 citations into it; #5,334 of 12,932 by trust here, #6,552 by citations
• Signal Processing — 19 citations into it
• Tourism, Leisure and Hospitality Management — 17 citations into it

Whom Hossein Hassani trusts overall

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

1. Andrew L. Rukhin
2. Cees G. H. Diks
3. Saeed Heravi
4. Francis X. Diebold
5. P. R. Hansen
6. Nina Golyandina
7. Anatoly A. Zhigljavsky
8. Rob J Hyndman
9. Jurgen A. Doornik
10. Vincent Cho

Who trusts Hossein Hassani overall

1. K. Patterson
2. Emmanuel Sirimal Silva
3. Stavros Degiannakis *
4. Saeed Heravi
5. George Filis
6. Anatoly A. Zhigljavsky
7. Zhixi Li
8. Rahim Mahmoudvand
9. Philippe Castagliola
10. Qiang Zhang

Papers from Hossein Hassani's perspective

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

1. A Reality Check for Data Snooping
2. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Estimating the Dimension of a Model
9. Gradient-based learning applied to document recognition
10. Generalized autoregressive conditional heteroskedasticity

Their papers

• A review on singular spectrum analysis for economic and financial time series (2010) — 186 citations
• Forecasting European industrial production with singular spectrum analysis (2009) — 281 citations
• Two new confidence intervals for the coefficient of variation in a normal distribution (2009) — 71 citations
• Forecasting U.S. Tourist arrivals using optimal Singular Spectrum Analysis (2015) — 158 citations
• The effect of noise reduction in measuring the linear and nonlinear dependency of financial markets (2010) — 95 citations
• Forecasting Accuracy Evaluation of Tourist Arrivals: Evidence from Parametric and Non-Parametric Techniques (2015) — 161 citations
• Forecasting UK Industrial Production with Multivariate Singular Spectrum Analysis (2013) — 118 citations
• Forecasting global stock market implied volatility indices (2018) — 49 citations
• Singular Spectrum Analysis: Methodology and Comparison (2021) — 394 citations
• Selecting optimal lag order in Ljung–Box test (2020) — 58 citations
• Text Mining in Big Data Analytics (2020) — 298 citations
• A Kolmogorov-Smirnov Based Test for Comparing the Predictive Accuracy of Two Sets of Forecasts (2015) — 161 citations
• On the Folded Normal Distribution (2014) — 317 citations
• Predicting inflation dynamics with singular spectrum analysis (2013) — 78 citations
• MULTIVARIATE SINGULAR SPECTRUM ANALYSIS: A GENERAL VIEW AND NEW VECTOR FORECASTING APPROACH (2013) — 166 citations
• Separability and window length in singular spectrum analysis (2011) — 92 citations
• Multivariate singular spectrum analysis for forecasting revisions to real-time data (2011) — 70 citations
• Predicting daily exchange rate with singular spectrum analysis (2010) — 102 citations