Partially linear models with \(p\)-order autoregressive skew-normal errors
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Publication:2679736
DOI10.1214/22-BJPS556MaRDI QIDQ2679736
Michel H. Montoril, Gilberto A. Paula, Clécio Da Silva Ferreira
Publication date: 23 January 2023
Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)
Uses Software
Cites Work
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- Partially linear models with first-order autoregressive symmetric errors
- Skew scale mixtures of normal distributions: properties and estimation
- Bayesian inference for the skewness parameter of the scalar skew-normal distribution
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- Diagnostics analysis for skew-normal linear regression models: applications to a quality of life dataset
- Nonparametric and semiparametric models.
- Estimation and diagnostic for partially linear models with first-order autoregressive skew-normal errors
- Semiparametric generalized least squares estimation in partially linear regression models with correlated errors
- Skew normal measurement error models
- Portfolio selection with higher moments
- Penalized Likelihood for General Semi-Parametric Regression Models
- Semiparametric Regression
- A new class of multivariate skew distributions with applications to bayesian regression models
- Semiparametric Regression with R
- Bayesian modeling of autoregressive partial linear models with scale mixture of normal errors
- Estimation and diagnostic for skew-normal partially linear models
- A practical guide to splines.
- A skew item response model
- Semiparametric time series regression modeling with a diverging number of parameters
