A functional connectivity approach for modeling cross-sectional dependence with an application to the estimation of hedonic housing prices in Paris
From MaRDI portal
Publication:413964
DOI10.1007/s10182-011-0173-2zbMath1238.62027OpenAlexW2150485309MaRDI QIDQ413964
Publication date: 8 May 2012
Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10182-011-0173-2
Directional data; spatial statistics (62H11) Applications of statistics to economics (62P20) Measures of association (correlation, canonical correlation, etc.) (62H20) Bayesian inference (62F15) Monte Carlo methods (65C05)
Related Items (3)
Robust linear static panel data models using \(\varepsilon\)-contamination ⋮ Continuous-discrete state-space modeling of panel data with nonlinear filter algorithms ⋮ A functional connectivity approach for modeling cross-sectional dependence with an application to the estimation of hedonic housing prices in Paris
Cites Work
- Unnamed Item
- Unnamed Item
- GMM estimation with cross sectional dependence
- A functional connectivity approach for modeling cross-sectional dependence with an application to the estimation of hedonic housing prices in Paris
- A test for spatial autocorrelation in seemingly unrelated regressions
- Estimation of dynamic panel data models with both individual and time-specific effects
- Estimating long-run relationships from dynamic heterogeneous panels
- Estimating cross-section common stochastic trends in nonstationary panel data
- Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure
- Spatio-temporal modeling of localized brain activity
- Some Estimation Methods for a Random Coefficient Model
- Bayesian and Non-Bayesian Analysis of Switching Regressions and of Random Coefficient Regression Models
- A Panel Analysis of Liquidity Constraints and Firm Investment
- Dynamic panel estimation and homogeneity testing under cross section dependence
- Marginal Likelihood and Bayes Factors for Dirichlet Process Mixture Models
- Statistical Inference for a Model with Both Random Cross-Sectional and Time Effects
- Spatiotemporal Models for Region of Interest Analyses of Functional Neuroimaging Data
- Inferential Theory for Factor Models of Large Dimensions
- Determining the Number of Factors in Approximate Factor Models
- Efficient Inference in a Random Coefficient Regression Model
This page was built for publication: A functional connectivity approach for modeling cross-sectional dependence with an application to the estimation of hedonic housing prices in Paris
