Generalized spatial stick-breaking processes
From MaRDI portal
Publication:5867488
DOI10.1080/03610918.2020.1746805OpenAlexW3014837532MaRDI QIDQ5867488
Majid Jafari Khaledi, Omar Dahdouh
Publication date: 14 September 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2020.1746805
Directional data; spatial statistics (62H11) Bayesian inference (62F15) Probability distributions: general theory (60E05)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A non-homogeneous skew-Gaussian Bayesian spatial model
- Hierarchical Poisson models for spatial count data
- A multivariate semiparametric Bayesian spatial modeling framework for hurricane surface wind fields
- Case studies in environmental statistics
- A Bayesian prediction using the skew Gaussian distribution.
- Using the \(gh\) distribution to model extreme wind speeds.
- Modeling skewed spatial data using a convolution of Gaussian and log-Gaussian processes
- Bayesian predictive inference under a Dirichlet process with sensitivity to the normal baseline
- Non-Gaussian modeling of spatial data using scale mixing of a unified skew Gaussian process
- Copula-based geostatistical modeling of continuous and discrete data including covariates
- An area-specific stick breaking process for spatial data
- Nonparametric Bayesian models through probit stick-breaking processes
- Hybrid Dirichlet Mixture Models for Functional Data
- Interpolation of nonstationary air pollution processes: a spatial spectral approach
- Generalized Spatial Dirichlet Process Models
- Kernel stick-breaking processes
- Bayesian Prediction of Transformed Gaussian Random Fields
- Spectral methods for nonstationary spatial processes
- A methodology for stochastic inventory models based on a zero‐adjusted Birnbaum‐Saunders distribution
- Factor Copula Models for Replicated Spatial Data
- Gibbs Sampling Methods for Stick-Breaking Priors
- Multivariate spatial nonparametric modelling via kernel processes mixing
- Multiple imputation using multivariateghtransformations
- Birnbaum‐Saunders distribution: A review of models, analysis, and applications
- Latent Stick-Breaking Processes
- A Test for Stationarity for Irregularly Spaced Spatial Data
- Short‐Term Wind Speed Forecasting for Power System Operations
- A New Spatial Skew-Normal Random Field Model
- A new family of life distributions
- Estimation for a family of life distributions with applications to fatigue
- Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing
- Order-Based Dependent Dirichlet Processes
- Bayesian Analysis of Skew Gaussian Spatial Models Based on Censored Data
This page was built for publication: Generalized spatial stick-breaking processes
