Yong Song
Biographic Data
| ID | 5729685 |
|---|---|
| NAME | Yong Song |
| GIVEN NAMES | Yong |
| FAMILY NAME | Song |
| SIGNATURE | SONG Y |
| AFFILIATIONS | The University of Melbourne |
| ORCID | 0000-0002-1067-7598 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Quantifying future Olympic sport selection
The Olympic Games are the world’s foremost sporting event, with over 200 countries participating. As the Games evolve, sports, disciplines, and events (SDEs) are periodically added or removed. The selection process for Olympic sports is inherently subjective, as seen with breakdancing’s inclusion in the 2024 Paris Olympics and exclusion from the 2028 Los Angeles Olympics. Thus, developing a quantitative decision-making model is crucial for the In…
Atlantic Trade and Conflict in Europe
We use over 200 years of conflict and wheat price data to provide the first quantitative evidence that Atlantic trade reduced conflict in Europe. While other determinants of intra-European conflict during the Early to Late Modern period have been proposed, the role of Atlantic trade has not been previously explored due to a lack of historical trade data. We overcome this constraint by using wheat prices to calculate time-varying measures of price…
Identification and forecasting of bull and bear markets using multivariate returns
Bull and bear market identification generally focuses on a broad index of returns through a univariate analysis. This paper proposes a new approach to identify and forecast bull and bear markets through multivariate returns. The model assumes that all assets are directed by a common discrete state variable from a hierarchical Markov switching model. The hierarchical specification allows the cross‐section of state‐specific means and variances to d…
From Engineered Stone Slab to Silicosis
Engineered stone (ES) is a popular building product, due to its architectural versatility and generally lower cost. However, the fabrication of organic resin-based ES kitchen benchtops from slabs has been associated with alarming rates of silicosis among workers. In 2024, fifteen years after the first reported ES-related cases in the world, Australia became the first country to ban the use and importation of ES. A range of interacting factors are…
A method for benchmarking two different resilience assessment methods
Assessments of objective and subjective resilience are the main methods for understanding disaster preparedness and developing policy responses. However, the two assessment outcomes are not directly comparable. A model combining objective and subjective resilience assessments provides a better approximation of the underlying resilience. Building on previous comparisons, we have developed a robust Bayesian hierarchical model for comparing and link…
Sparse change‐point VAR models
Change‐point (CP) VAR models face a dimensionality curse due to the proliferation of parameters that arises when new breaks are detected. We introduce the Sparse CP‐VAR model which determines which parameters truly vary when a break is detected. By doing so, the number of new parameters to be estimated at each regime is drastically reduced and the break dynamics becomes easier to be interpreted. The Sparse CP‐VAR model disentangles the dynamics o…
Zonation of Landslide Susceptibility in Ruijin, Jiangxi, China
Landslides are one of the major geohazards threatening human society. The objective of this study was to conduct a landslide hazard susceptibility assessment for Ruijin, Jiangxi, China, and to provide technical support to the local government for implementing disaster reduction and prevention measures. Machine learning approaches, e.g., random forests (RFs) and support vector machines (SVMs) were employed and multiple geo-environmental factors su…
Mapping Landslide Hazard Risk Using Random Forest Algorithm in Guixi, Jiangxi, China
Landslide hazards affect the security of human life and property. Mapping the spatial distribution of landslide hazard risk is critical for decision-makers to implement disaster prevention measures. This study aimed to predict and zone landslide hazard risk, using Guixi County in eastern Jiangxi, China, as an example. An integrated dataset composed of 21 geo-information layers, including lithology, rainfall, altitude, slope, distances to faults, …
The evolution of ottoman–European market linkages, 1469–1914
The evolution of ottoman–European market linkages, 1469–1914
Mapping Landslide Hazard Risk Using Random Forest Algorithm in Guixi, Jiangxi, China
Landslide hazards affect the security of human life and property. Mapping the spatial distribution of landslide hazard risk is critical for decision-makers to implement disaster prevention measures. This study aimed to predict and zone landslide hazard risk, using Guixi County in eastern Jiangxi, China, as an example. An integrated dataset composed of 21 geo-information layers, including lithology, rainfall, altitude, slope, distances to faults, …
Sparse change‐point VAR models
Change‐point (CP) VAR models face a dimensionality curse due to the proliferation of parameters that arises when new breaks are detected. We introduce the Sparse CP‐VAR model which determines which parameters truly vary when a break is detected. By doing so, the number of new parameters to be estimated at each regime is drastically reduced and the break dynamics becomes easier to be interpreted. The Sparse CP‐VAR model disentangles the dynamics o…
Zonation of Landslide Susceptibility in Ruijin, Jiangxi, China
Landslides are one of the major geohazards threatening human society. The objective of this study was to conduct a landslide hazard susceptibility assessment for Ruijin, Jiangxi, China, and to provide technical support to the local government for implementing disaster reduction and prevention measures. Machine learning approaches, e.g., random forests (RFs) and support vector machines (SVMs) were employed and multiple geo-environmental factors su…
A method for benchmarking two different resilience assessment methods
Assessments of objective and subjective resilience are the main methods for understanding disaster preparedness and developing policy responses. However, the two assessment outcomes are not directly comparable. A model combining objective and subjective resilience assessments provides a better approximation of the underlying resilience. Building on previous comparisons, we have developed a robust Bayesian hierarchical model for comparing and link…
Identification and forecasting of bull and bear markets using multivariate returns
Bull and bear market identification generally focuses on a broad index of returns through a univariate analysis. This paper proposes a new approach to identify and forecast bull and bear markets through multivariate returns. The model assumes that all assets are directed by a common discrete state variable from a hierarchical Markov switching model. The hierarchical specification allows the cross‐section of state‐specific means and variances to d…
From Engineered Stone Slab to Silicosis
Engineered stone (ES) is a popular building product, due to its architectural versatility and generally lower cost. However, the fabrication of organic resin-based ES kitchen benchtops from slabs has been associated with alarming rates of silicosis among workers. In 2024, fifteen years after the first reported ES-related cases in the world, Australia became the first country to ban the use and importation of ES. A range of interacting factors are…
Quantifying future Olympic sport selection
The Olympic Games are the world’s foremost sporting event, with over 200 countries participating. As the Games evolve, sports, disciplines, and events (SDEs) are periodically added or removed. The selection process for Olympic sports is inherently subjective, as seen with breakdancing’s inclusion in the 2024 Paris Olympics and exclusion from the 2028 Los Angeles Olympics. Thus, developing a quantitative decision-making model is crucial for the In…
Atlantic Trade and Conflict in Europe
We use over 200 years of conflict and wheat price data to provide the first quantitative evidence that Atlantic trade reduced conflict in Europe. While other determinants of intra-European conflict during the Early to Late Modern period have been proposed, the role of Atlantic trade has not been previously explored due to a lack of historical trade data. We overcome this constraint by using wheat prices to calculate time-varying measures of price…
Computer Science (6 works) · Economics (5 works) · Econometrics (4 works) · Mathematics (4 works) · Artificial Intelligence (3 works) · Geography (3 works) · Statistics (3 works) · Algorithm (2 works) · Bayesian probability (2 works) · Business (2 works)