Bayesian Techniques in Spatial and Network Econometrics
2. Computational Methods and Algorithms
Bibliographic Data
| ID | 4960320 |
|---|---|
| Authors | Leslie W Hepple (University of Bristol, corresponding author) |
| Year | 1995 |
| Volume | 27 |
| Issue | 4 |
| Pages | 615-644 |
| Publication date | 1995-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning A Economy and Space (JOURNAL) |
| Journal identifiers | ISSN: 0308-518X • E-ISSN: 1472-3409 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1068/a270615 |
| OpenAlex | W2018468556 |
| Language | EN |
| Citations received | 8 |
| References cited | 52 |
Bayesian theory has been seen as having considerable potential and attractiveness for model estimation and analysis in spatial and network econometrics. However, analytical and computational problems have also been seen as a great barrier. In this paper the analytical simplifications available are developed and the algorithms required are examined. The author argues that, for a broad class of models in spatial econometrics, Bayesian analysis is quite practicable and can be implemented without great cost. The spatial specifications are mapped into the various forms of Bayesian computation available and detailed examples are provided. Recent developments on the frontier of Bayesian computation have potential to expand further the practical applicability of the Bayesian approach to spatial econometrics
Algorithm · Approximate Bayesian Computation · Bayesian econometrics · Bayesian inference · Bayesian network · Bayesian probability · Computation · Econometrics · Inference · Machine learning · Spatial econometrics · Variable-order Bayesian network · Computer Science · Economic and Environmental Valuation · Mathematics · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis · Artificial Intelligence
A test strategy for spurious spatial regression, spatial nonstationarity, and spatial cointegration
Imputation of attributes in networked data using Bayesian autocorrelation regression models
Quantitative methods
Network Autocorrelation Modeling
Bayesian Model Averaging for Spatial Autoregressive Models Based on Convex Combinations of Different Types of Connectivity Matrices
Bayesian estimation of the network autocorrelation model
A Variance-Stabilizing Coding Scheme for Spatial Link Matrices
Bayesian Areal Interpolation, Estimation, and Smoothing
Spatial Data Analysis in the Social and Environmental Sciences
Spatial Statistics
Spatial Econometrics
Estimation Methods for Models of Spatial Interaction
Spatial Interaction and the Statistical Analysis of Lattice Systems
Sampling-Based Approaches to Calculating Marginal Densities
Budget spillovers and fiscal policy interdependence
The Econometric Study of the United Kingdom
A Biparametric Approach to Spatial Autocorrelation
Testing for a Common Factor in a Spatial Autoregression Model
Bayesian Techniques in Spatial and Network Econometrics
A Biparametric Approach to Network Autocorrelation
| Unique citing works | 8 |
|---|---|
| Citations per year | 0,3 |
| Citation span | 1999 - 2022 (24) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 8 |