Gold has multiple attributes and its price is affected by various factors in the market. This paper studies the dynamic relationship between the gold price returns and its affecting factors. Then we use the STL-ETS, neural network and Bayesian structural time series model to predict the gold...

Introduction -- Existing research -- Theoretical basis : TEI@I methodology -- Scientometric analysis of demand forecasting (1975-2015): a visual description -- An integrated short-term forecasting framework with empirical mode decomposition method -- A novel seasonal decomposition-based...

Introduction -- Existing research -- Theoretical basis : TEI@I methodology -- Scientometric analysis of demand forecasting (1975-2015): a visual description -- An integrated short-term forecasting framework with empirical mode decomposition method -- A novel seasonal decomposition-based...

This paper proposes a model for self-assessed health at an aggregate level that allows to generate age- and gender-specific stochastic forecasts of future health. We decompose health status into a time effect and an age effect. We then further decompose the time effect into observed...