Estimation of spatial ar models
โ Scribed by Jiming Jiang
- Publisher
- Institute of Applied Mathematics, Chinese Academy of Sciences and Chinese Mathematical Society
- Year
- 1993
- Tongue
- English
- Weight
- 449 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0168-9673
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๐ SIMILAR VOLUMES
We estimate the mean function and the conditional variance (the volatility function) of a nonlinear รฟrst-order autoregressive model nonparametrically. Minimax rates of convergence are established over a scale of Besov bodies Bspq and a range of global L p error measurements, for 16p ยก โ. We propose
The paper is devoted to estimation variance problems when sampling in spatial statistics. Anisotropic ยฎbre processes as deยฎned in stochastic geometry are investigated using total projections. Relation to stereological methods based on sections is emphasized. Intensity estimators are studied and the
## SUMMARY We consider the estimation of a sample selection model that exhibits spatial autoregressive errors (SAE). Our methodology is motivated by a twoโstep strategy where in the first step we estimate a spatial probit model and in the second step (outcome equation) we include an estimated inver