Spatio-temporal expectile regression models
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Publication:4971513
DOI10.1177/1471082X19829945OpenAlexW2921206579MaRDI QIDQ4971513
Thomas Kneib, Elmar Spiegel, Fabian Otto-Sobotka
Publication date: 12 October 2020
Published in: Statistical Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1177/1471082x19829945
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Cites Work
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- Fast smoothing parameter separation in multidimensional generalized P-splines: the SAP algorithm
- Generalized additive models with flexible response functions
- Asymmetric Least Squares Estimation and Testing
- Efficient two-dimensional smoothing with \(P\)-spline ANOVA mixed models and nested bases
- Geoadditive expectile regression
- On confidence intervals for semiparametric expectile regression
- Straightforward intermediate rank tensor product smoothing in mixed models
- Fast and compact smoothing on large multidimensional grids
- Smooth-CAR mixed models for spatial count data
- Optimal expectile smoothing
- Fitting generalized linear models with unspecified link function: a P-spline approach
- Generalized additive models
- A practical guide to splines
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- Modular regression -- a Lego system for building structured additive distributional regression models with tensor product interactions
- Coverage Properties of Confidence Intervals for Generalized Additive Model Components
- Estimation in generalized linear models with random effects
- Regression Quantiles
- Asymmetric least squares regression estimation: A nonparametric approach∗
- A generalized Fellner‐Schall method for smoothing parameter optimization with application to Tweedie location, scale and shape models
- Regression
- Gaussian Markov Random Fields
- P-spline ANOVA-type interaction models for spatio-temporal smoothing
- Discussion: A comparison of GAMLSS with quantile regression
- Expectile and quantile regression—David and Goliath?
- A primer on Bayesian distributional regression
- Bayesian Spatial Quantile Regression
- Low‐Rank Scale‐Invariant Tensor Product Smooths for Generalized Additive Mixed Models
- Bayesian Generalized Additive Models for Location, Scale, and Shape for Zero-Inflated and Overdispersed Count Data
- Generalized Additive Models for Location, Scale and Shape
- Smoothing spline ANOVA models
