Non-Gaussian autoregressive processes with Tukey \(g\)-and-\(h\) transformations
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Publication:6626039
DOI10.1002/env.2503zbMATH Open1545.62986MaRDI QIDQ6626039
Publication date: 28 October 2024
Published in: Environmetrics (Search for Journal in Brave)
Cites Work
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- Lambert \(W\) random variables -- a new family of generalized skewed distributions with applications to risk estimation
- Assessing the performance of model-based clustering methods in multivariate time series with application to identifying regional wind regimes
- Mean squared prediction error in the spatial linear model with estimated covariance parameters
- Experience with using the Box-Cox transformation when forecasting economic time series
- Principles for statistical inference on big spatio-temporal data from climate models
- Efficient maximum approximated likelihood inference for Tukey's \(g\)-and-\(h\) distribution
- Generalized autoregressive conditional heteroscedasticity
- Transformed generalized linear models
- Some properties of the tukey g and h family of distributions
- A Student t-mixture autoregressive model with applications to heavy-tailed financial data
- A multivariate skew-garch model
- Sinh-arcsinh distributions
- ARMA MODELLING WITH NON-GAUSSIAN INNOVATIONS
- First-order autoregressive gamma sequences and point processes
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- Prediction error in a linear model with estimated parameters
- THRESHOLD TIME SERIES MODELS AS MULTIMODAL DISTRIBUTION JUMP PROCESSES
- Modeling Flat Stretches, Bursts, and Outliers in Time Series Using Mixture Transition Distribution Models
- Generalized Autoregressive Moving Average Models
- On a Mixture Autoregressive Model
- Multiple imputation using multivariateghtransformations
- Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center
- Visuanimation in statistics
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