Inference for a class of partially observed point process models

10.1007/s10463-012-0375-8

Saved in:
Bibliographic Details
Main Authors: Martin, J.S., Jasra, A., McCoy, E.
Other Authors: STATISTICS & APPLIED PROBABILITY
Format: Article
Published: 2016
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/125055
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
id sg-nus-scholar.10635-125055
record_format dspace
spelling sg-nus-scholar.10635-1250552023-09-21T20:16:33Z Inference for a class of partially observed point process models Martin, J.S. Jasra, A. McCoy, E. STATISTICS & APPLIED PROBABILITY Intensity estimation Point processes Sequential Monte Carlo 10.1007/s10463-012-0375-8 Annals of the Institute of Statistical Mathematics 65 3 413-437 AISXA 2016-06-02T10:30:16Z 2016-06-02T10:30:16Z 2013-06 Article Martin, J.S., Jasra, A., McCoy, E. (2013-06). Inference for a class of partially observed point process models. Annals of the Institute of Statistical Mathematics 65 (3) : 413-437. ScholarBank@NUS Repository. https://doi.org/10.1007/s10463-012-0375-8 00203157 http://scholarbank.nus.edu.sg/handle/10635/125055 000319426200001 Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Intensity estimation
Point processes
Sequential Monte Carlo
spellingShingle Intensity estimation
Point processes
Sequential Monte Carlo
Martin, J.S.
Jasra, A.
McCoy, E.
Inference for a class of partially observed point process models
description 10.1007/s10463-012-0375-8
author2 STATISTICS & APPLIED PROBABILITY
author_facet STATISTICS & APPLIED PROBABILITY
Martin, J.S.
Jasra, A.
McCoy, E.
format Article
author Martin, J.S.
Jasra, A.
McCoy, E.
author_sort Martin, J.S.
title Inference for a class of partially observed point process models
title_short Inference for a class of partially observed point process models
title_full Inference for a class of partially observed point process models
title_fullStr Inference for a class of partially observed point process models
title_full_unstemmed Inference for a class of partially observed point process models
title_sort inference for a class of partially observed point process models
publishDate 2016
url http://scholarbank.nus.edu.sg/handle/10635/125055
_version_ 1779170791765573632