Nonparametric inference for continuous-time event counting and link-based dynamic network models
A flexible approach for modeling both dynamic event counting and dynamic link-based networks based on counting processes is proposed, and estimation in these models is studied. We consider nonparametric likelihood based estimation of parameter functions via kernel smoothing. The asymptotic behavior...
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| Main Authors: | , , |
|---|---|
| Format: | Article (Journal) Chapter/Article |
| Language: | English |
| Published: |
4 Jul 2017
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| In: |
Arxiv
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| Online Access: | kostenfrei
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| Author Notes: | Alexander Kreiß, Enno Mammen, Wolfgang Polonik |
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