Abstract
Contact processes - and, more generally, interacting particle processes - can serve as models for a large variety of statistical problems, especially if we allow some simple modifications that do not essentially complicate the mathematical treatment of these processes. We begin a statistical study of the supercritical contact process that starts with a single infected site at the origin and is conditioned on survival of the infection. We consider the statistical problem of estimating the parameter λ of the process on the basis of an observation of the process at a single time t. We propose an estimator of λ and show that it is consistent and asymptotically normal as t → ∞.
| Original language | English |
|---|---|
| Pages (from-to) | 1071-1092 |
| Number of pages | 22 |
| Journal | Bernoulli |
| Volume | 9 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Dec 2003 |
| Externally published | Yes |
Keywords
- Contact process
- Parameter estimation
- Random mask
- Shrinking
- Supercritical
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