Inference for spatial autoregressive models with infinite variance noises
From MaRDI portal
Publication:1995608
DOI10.1007/s10114-020-9428-8zbMath1460.62157OpenAlexW3115164466MaRDI QIDQ1995608
Gui Li Liao, Qi Meng Liu, Rong Mao Zhang
Publication date: 24 February 2021
Published in: Acta Mathematica Sinica. English Series (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10114-020-9428-8
Inference from spatial processes (62M30) Nonparametric regression and quantile regression (62G08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Statistics of extreme values; tail inference (62G32)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Spatial correlation robust inference with errors in location or distance
- Partial maximum likelihood estimation of spatial probit models
- Inference with dependent data using cluster covariance estimators
- Time series: Theory and methods
- Convergence to a stable distribution via order statistics
- M-estimation for autoregression with infinite variance
- Regression rank scores and regression quantiles
- A bivariate stable characterization and domains of attraction
- Optimal tests for autoregressive models based on autoregression rank scores
- Limiting distributions for \(L_1\) regression estimators under general conditions
- Autoregression quantiles and related rank-scores processes
- Gauss-Newton estimation of parameters for a spatial autoregression model
- FIXED-b ASYMPTOTICS FOR SPATIALLY DEPENDENT ROBUST NONPARAMETRIC COVARIANCE MATRIX ESTIMATORS
- M-ESTIMATION FOR A SPATIAL UNILATERAL AUTOREGRESSIVE MODEL WITH INFINITE VARIANCE INNOVATIONS
- Properties of the spatial unilateral first-order ARMA model
- Limit theory for autoregressive-parameter estimates in an infinite-variance random walk
- MULTIVARIATE AUTOREGRESSION OF ORDER ONE WITH INFINITE VARIANCE INNOVATIONS
- Point processes, regular variation and weak convergence
- Regression Quantiles
- Statistical spatial series modelling
- A subclass of lattice processes applied to a problem in planar sampling
- Regression Models with Spatially Correlated Errors
- Robust Rank Tests of the Unit Root Hypothesis
- Edge Detection, Spatial Smoothing, and Image Reconstruction With Partially Observed Multivariate Data
- A note on properties of spatial yule-walker estimators
- Convergence Criteria for Multiparameter Stochastic Processes and Some Applications
- Quantile Autoregression
- Convergence of stochastic processes
This page was built for publication: Inference for spatial autoregressive models with infinite variance noises