Sparse Approximate Inference for Spatio-Temporal Point Process Models
نویسندگان
چکیده
منابع مشابه
Sparse Approximate Inference for Spatio-Temporal Point Process Models
Spatio-temporal point process models play a central role in the analysis of spatially distributed systems in several disciplines. Yet, scalable inference remains computationally challenging both due to the high resolution modelling generally required and the analytically intractable likelihood function. Here, we exploit the sparsity structure typical of (spatially) discretised log-Gaussian Cox ...
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ژورنال
عنوان ژورنال: Journal of the American Statistical Association
سال: 2016
ISSN: 0162-1459,1537-274X
DOI: 10.1080/01621459.2015.1115357