scientific article; zbMATH DE number 597897
From MaRDI portal
Publication:4298908
zbMath0796.62073MaRDI QIDQ4298908
No author found.
Publication date: 26 September 1994
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
identificationEM algorithmmodel selectionmaximum likelihoodvon Mises distributionflexibilityfeasibilityautoregressive moving average processeswrapped normal distributioncircular autocorrelationprojected Gaussian processestime series of measurementsunit two-dimensional vectorswind directions
Directional data; spatial statistics (62H11) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)
Related Items
Markov-switching linked autoregressive model for non-continuous wind direction data ⋮ Robust estimation for multivariate wrapped models ⋮ Unnamed Item ⋮ Smooth kernel estimation of a circular density function: a connection to orthogonal polynomials on the unit circle ⋮ Recent advances in directional statistics ⋮ Circular autocorrelation of stationary circular Markov processes ⋮ Bayesian nonparametric models of circular variables based on Dirichlet process mixtures of normal distributions ⋮ Estimating functions for circular time series models ⋮ Regime switching models for circular and linear time series ⋮ Finite Mixtures of Multivariate Wrapped Normal Distributions for Model Based Clustering of p -Torus Data ⋮ Estimating the Mean Direction of Strongly Dependent Circular Time Series ⋮ Modelling circular time series ⋮ Regression models for circular data based on nonnegative trigonometric sums ⋮ Non‐parametric smoothing and prediction for nonlinear circular time series ⋮ On a class of circulas: copulas for circular distributions ⋮ Estimation of parameters in multivariate wrapped models for data on a \(p\)-torus ⋮ Non‐parametric Regression for Circular Responses ⋮ A statistical model for orientation mechanism ⋮ Bayesian inference in a time varying cointegration model ⋮ Spatial analysis of wave direction data using wrapped Gaussian processes ⋮ A mixture of linear-linear regression models for a linear-circular regression ⋮ Nonparametric dynamic state space modeling of observed circular time series with circular latent states: a Bayesian perspective ⋮ Bayesian analysis of circular data using wrapped distributions ⋮ Non-homogeneous hidden Markov-switching models for wind time series
This page was built for publication: