Distributional regression forests for probabilistic precipitation forecasting in complex terrain
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Publication:2281202
DOI10.1214/19-AOAS1247zbMath1433.62325arXiv1804.02921MaRDI QIDQ2281202
Lisa Schlosser, Achim Zeileis, Torsten Hothorn, Reto Stauffer
Publication date: 19 December 2019
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1804.02921
recursive partitioningparametric modelsrandom forestsregression treesprobabilistic forecastingGAMLSS
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Parametric hypothesis testing (62F03) Applications of statistics to environmental and related topics (62P12)
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Distributional (Single) Index Models, Easy Uncertainty Quantification (EasyUQ): Generating Predictive Distributions from Single-Valued Model Output, Probabilistic Time Series Forecasts with Autoregressive Transformation Models, Distributional regression forests for probabilistic precipitation forecasting in complex terrain
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Cites Work
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- Generalized random forests
- Straightforward intermediate rank tensor product smoothing in mixed models
- Bayesian structured additive distributional regression with an application to regional income inequality in Germany
- Generalized additive models
- The asymptotic theory of permutation statistics.
- Distributional regression forests for probabilistic precipitation forecasting in complex terrain
- A random forest guided tour
- Generalized M‐fluctuation tests for parameter instability
- Strictly Proper Scoring Rules, Prediction, and Estimation
- Probabilistic Forecasts, Calibration and Sharpness
- Random Forests and Adaptive Nearest Neighbors
- Generalized Additive Models for Location, Scale and Shape
- The elements of statistical learning. Data mining, inference, and prediction
- Random forests
