138 citations · 302 across the 32 of their papers we have counts for
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Bayesian Conditional Transformation Models
Manuel Carlan, Thomas Kneib, Nadja Klein
Recent developments in statistical regression methodology shift away from pure mean regression towards distributional regression models. One important strand thereof is that of con…
Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices
Nadja Klein, Michael Stanley Smith, David J. Nott
Recurrent neural networks (RNNs) with rich feature vectors of past values can provide accurate point forecasts for series that exhibit complex serial dependence. We propose two app…
Semi-Structured Distributional Regression -- Extending Structured Additive Models by Arbitrary Deep Neural Networks and Data Modalities
David Rügamer, Chris Kolb, Nadja Klein
Combining additive models and neural networks allows to broaden the scope of statistical regression and extend deep learning-based approaches by interpretable structured additive p…