Forecasting U.S. Tourist arrivals using optimal Singular Spectrum Analysis

By Hossein Hassani, A. Webster, Emmanuel Sirimal Silva, Saeed Heravi. 2015

158 citations recorded by the source corpus.

Subfields: Applied Mathematics, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/0252e10ec6494eed62398e827245ecb6f2291768

How researchers see this paper

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

In Applied Mathematics

1. Emmanuel Sirimal Silva
2. Hossein Hassani

In Management Science and Operations Research

1. Emmanuel Sirimal Silva
2. D. Wu
3. Haiyan Song
4. Shujie Shen
5. Hossein Hassani
6. Gang Li

In Statistics and Probability

1. Emmanuel Sirimal Silva
2. Hossein Hassani
3. D. Wu
4. Haiyan Song

Citations in the corpus

• A Kolmogorov-Smirnov Based Test for Comparing the Predictive Accuracy of Two Sets of Forecasts (2015, methodology): “Interestingly, regardless of the existence of more superior tests, the DM test continues to be cited in forecasting literature both in isolation and at times along side SPA and MCS tests, see for example [13–15].”
• New developments in tourism and hotel demand modeling and forecasting (2017, background): “Assuming that a time series consists of signal and noise, unlike traditional time series models which forecast both signal and noise, SSA aims to filter the noise and forecast the signal only (Hassani et al., 2015).”