Efficient two-dimensional smoothing with \(P\)-spline ANOVA mixed models and nested bases
From MaRDI portal
Publication:333687
DOI10.1016/j.csda.2012.11.013zbMath1348.65030OpenAlexW4361745826MaRDI QIDQ333687
Dae-Jin Lee, María Durbán, Paul H. C. Eilers
Publication date: 31 October 2016
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2012.11.013
Related Items
Tensor cubic smoothing splines in designed experiments requiring residual modelling, Approximate inference for spatial functional data on massively parallel processors, Smooth additive mixed models for predicting aboveground biomass, Modelling temporal genetic and spatio‐temporal residual effects for high‐throughput phenotyping data*, Two‐dimensional P‐spline smoothing for spatial analysis of plant breeding trials, Data analysis and statistical estimation for time series: improving presentation and interpretation, Fast smoothing parameter separation in multidimensional generalized P-splines: the SAP algorithm, An alternative semiparametric model for spatial panel data, Spatio-temporal expectile regression models
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Linear smoothers and additive models
- Straightforward intermediate rank tensor product smoothing in mixed models
- Fast and compact smoothing on large multidimensional grids
- Size and power of tests for a zero random effect variance or polynomial regression in additive and linear mixed models
- Simultaneous selection of variables and smoothing parameters in structured additive regression models
- Estimating the dimension of a model
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- Smoothing Parameter Selection for a Class of Semiparametric Linear Models
- Generalized Linear Array Models with Applications to Multidimensional Smoothing
- Estimation in generalized linear models with random effects
- Maximum likelihood identification of Gaussian autoregressive moving average models
- Semiparametric Regression
- Mixed-Effects Models in S and S-PLUS
- Fast Stable Restricted Maximum Likelihood and Marginal Likelihood Estimation of Semiparametric Generalized Linear Models
- Smoothing and forecasting mortality rates
- Approximate Inference in Generalized Linear Mixed Models
- Low‐Rank Scale‐Invariant Tensor Product Smooths for Generalized Additive Mixed Models
- Generalized Linear Models with Random Effects
- Smoothing spline ANOVA models