Abstract
The martingale methods of estimation are extended to point processes on the plane. A likelihood function is constructed and a general exponential formula is given. A central limit theorem is proved for processes which are both 1- and 2-martingales. Martingale estimators are defined, and consistency, sufficiency and asymptotic normality are discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 269-281 |
| Number of pages | 13 |
| Journal | Journal of Multivariate Analysis |
| Volume | 32 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 1990 |
Bibliographical note
Funding Information:Received April 13, 1989; revised August 28, 1989. Key words and phrases: planar point process, intensity-based inference, martingale, exponential formula, asymptotic normality. AMS 1980 subject classifications: primary 60655, 62AlO; secondary 60648, 6OG60. * Research supported by a grant from the Natural Sciences and Engineering Research Council of Canada. t Work done while the second author was visiting at the University of Ottawa. He wishes to thank the Department of Mathematics and especially Professor Ivanoff for their kind hospitality.
Funding
Received April 13, 1989; revised August 28, 1989. Key words and phrases: planar point process, intensity-based inference, martingale, exponential formula, asymptotic normality. AMS 1980 subject classifications: primary 60655, 62AlO; secondary 60648, 6OG60. * Research supported by a grant from the Natural Sciences and Engineering Research Council of Canada. t Work done while the second author was visiting at the University of Ottawa. He wishes to thank the Department of Mathematics and especially Professor Ivanoff for their kind hospitality.
| Funders |
|---|
| Natural Sciences and Engineering Research Council of Canada |
Keywords
- asymptotic normality
- exponential formula
- intensity-based inference
- martingale
- planar point process
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