Directional data analysis under the general projected normal distribution
From MaRDI portal
Publication:2360921
DOI10.1016/j.stamet.2012.07.005zbMath1365.62195OpenAlexW2046204054WikidataQ30667572 ScholiaQ30667572MaRDI QIDQ2360921
Publication date: 29 June 2017
Published in: Statistical Methodology (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc3773532
Markov chain Monte Carlolatent variablescircular databivariate normal distributionconcentrationmean direction
Related Items
Statistics of CMB polarization angles, Modeling animal movement with directional persistence and attractive points, Modeling Space and Space-Time Directional Data Using Projected Gaussian Processes, Goodness-of-fit tests for multiple regression with circular response, Recent advances in directional statistics, Comments on: ``Recent advances in directional statistics, Model-based clustering of trends and cycles of nitrate concentrations in rivers across France, Bayesian nonparametric models of circular variables based on Dirichlet process mixtures of normal distributions, CircSpaceTime: an R package for spatial and spatio-temporal modelling of circular data, Multivariate Myriad Filters Based on Parameter Estimation of Student-$t$ Distributions, Bayesian hidden Markov modelling using circular‐linear general projected normal distribution, Dimension‐independent Markov chain Monte Carlo on the sphere, Multivariate and regression models for directional data based on projected Pólya trees, Regression models for circular data based on nonnegative trigonometric sums, A new parameterization for elliptically symmetric angular Gaussian distributions of arbitrary dimension, A clustering Bayesian approach for multivariate non-ordered circular data, The joint projected normal and skew-normal: a distribution for poly-cylindrical data, An elliptically symmetric angular Gaussian distribution, Spherical regression models with general covariates and anisotropic errors, Projected Pólya Tree, A Bayesian mixture model for clustering circular data, New formulation of the logistic-Gaussian process to analyze trajectory tracking data, Spatio-temporal circular models with non-separable covariance structure, Bayesian analysis of circular distributions based on non-negative trigonometric sums, A mixture of linear-linear regression models for a linear-circular regression, On maximum likelihood estimation of the general projected normal distribution, A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes, Agent-based models for collective animal movement: proximity-induced state switching, Hierarchical Bayesian small area estimation for circular data, Circular interpretation of regression coefficients
Uses Software
Cites Work
- The statistical theory of shape
- Topics in Circular Statistics
- Statistical Analysis of Circular Data
- A Unified View of the Theory of Directional Statistics, 1975-1988
- A Bayesian analysis of directional data using the projected normal distribution
- A comparison of various methods for estimating the parameters in mixtures of von mises distributions
- Some Angular-Linear Distributions and Related Regression Models
- Projected Multivariate Linear Models for Directional Data
- Strictly Proper Scoring Rules, Prediction, and Estimation
- Hierarchical Bayesian small area estimation for circular data
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
