Grants and Research Awards

• Grant awarded to Carlos Mate, Universidad Pontificia Comillas, Madrid for the project proposal in the category of Methodology "The Practice of Forecasting using Bayesian Model Averaging and Bayesian Nonparametrics (FORBA_MANP)."
• Grant awarded to Hossein Hassani and Anatoly Zhigljavsky, School of Mathematics, Cardiff University; Saeed Heravi, Cardiff Business School, Cardiff University for the project proposal in the category of Applications "Forecasting European Industrial Production with Multivariate Singular Spectrum Analysis”

• Grant awarded to Eric Bélanger, Department of Political Science, McGill University; Michael S. Lewis-Beck, Department of Political Science,
  University of Iowa; and Richard Nadeau, Department of Political Science, University of Montreal, for their project proposal "Improving Election
  Forecasting in the United Kingdom."
• Grant awarded to Gloria González-Rivera, Department of Economics, University of California - Riverside, for her project proposal "Evaluation
  of Multidimensional Predictive Densities."

• Grant awarded to Carolina García-Martos, Universidad Politécnica de Madrid, and María Jesús Sánchez and Julio Rodríguez Universidad Politécnica de Madrid, "Unobserved Component Model for Forecasting Electricity Prices and Their Volatilities"
• Grant awarded to Barbara Rossi, Duke University, "New Methods for Forecasting and Model Evaluation"

• Grant awarded to Sven Krone, Lancaster University, Management School, UK, and Konstantinos Nikolopoulos, Manchester Business School, UK, "Automatic Modeling and Forecasting with Neural Networks - A Forecasting Competition Evaluation"
• Grant awarded to Pilar Poncela, Universidad Autónoma de Madrid, Spain, and Eva Senra, Universidad de Alcala, Spain "Combining Forecasts Through Factor Models: Assessing Consensus and Uncertainty"

• Grant awarded to Peter Zhang, Georgia State University, USA, and Douglas M. Kline, University of North Carolina at Wilmington, USA, "Quarterly Times Series Forecasting"
• Grant awarded to Ting Yu, University of Technology at Sydney, Australia, "Incorporating Prior Domain Knowledge in Machine Learning"

• Grant awarded to Kesten Green, Business and Economic Forecasting Unit, Monash University, Melbourne, Australia, "Assessing Probabilistic Forecasts"
• Grant awarded to Brajendra Sutradhar, Memorial University of Newfoundland, Canada, "Best Practice Recommendation for Forecasting Counts"
• Grant awarded to Min Qi, Kent State University, USA, and G. Peter Zhang, Georgia State University, USA, "Trend Time Series Modeling and Forecasting with Neural Networks"