A smoothing spline model for multimodal and skewed circular responses: applications in meteorology and oceanography

Related Items (1)

Families of complex-valued covariance models through integration

Cites Work

Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Unnamed Item
Spatial analysis of wave direction data using wrapped Gaussian processes
Spatio-temporal circular models with non-separable covariance structure
Inverse circular-circular regression
Sine-skewed circular distributions
The generalized von Mises distribution
Building asymmetry into circular distributions
Markov-switching linked autoregressive model for non-continuous wind direction data
Smoothing and mixed models
A three-parameter generalized von Mises distribution
Topics in Circular Statistics
Smoothing Splines
Joint spatio-temporal analysis of a linear and a directional variable: space-time modeling of wave heights and wave directions in the Adriatic Sea
Model choice: a minimum posterior predictive loss approach
On the modes of a mixture of two von Mises distributions
Degrees-of-freedom tests for smoothing splines
The wrapped skew-normal distribution on the circle
A Markov Process for Circular Data
An extension of the von mises distribution
A non-homogeneous hidden Markov model for predicting the distribution of sea surface elevation
An Autoregressive Model for Time Series of Circular Data
Bayesian estimation of state-space models using the Metropolis-Hastings algorithm within Gibbs sampling.
Distributions of return values for ocean wave characteristics in the South China Sea using directional–seasonal extreme value analysis
Distribution and time-series modelling of ordinal circular data
Benefits of spatiotemporal modeling for short-term wind power forecasting at both individual and aggregated levels

This page was built for publication: A smoothing spline model for multimodal and skewed circular responses: applications in meteorology and oceanography