## Talks

2014 (5)

- Fast computation of reconciled forecasts in hierarchical and grouped time series
- Functional time series with applications in demography
- Challenges in forecasting peak electricity demand
- State space models
- Automatic time series forecasting

- Coherent mortality forecasting using functional time series
- Forecasting hierarchical time series
- R tools for hierarchical time series
- Forecasting without forecasters
- Man vs wild data

- Forecasting time series using R
- Forecasting electricity demand distributions using a semiparametric additive model
- Evaluating extreme quantile forecasts

- Demographic forecasting using functional data analysis
- Coherent functional forecasts of mortality rates and life expectancy

- Forecasting and the importance of being uncertain
- Building R packages for Windows
- Time series and forecasting in R
- Bagplots, boxplots and outlier detection for functional data
- Exponential smoothing and non-negative data
- Forecasting functional time series

- Population forecasting and the importance of being uncertain
- Graduation address
- Forecasting medium- and long-term peak electricity demand
- Stochastic population forecasts using functional data models: