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Nonparametric estimation of regression functions in point process models

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Publication:1421728
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DOI10.1023/A:1025854227833zbMath1031.62032OpenAlexW1512206137MaRDI QIDQ1421728

Sebastian Döhler, Ludger Rüschendorf

Publication date: 3 February 2004

Published in: Statistical Inference for Stochastic Processes (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1025854227833


zbMATH Keywords

neural netsregression functionspoint process modelssieve classes


Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Markov processes: estimation; hidden Markov models (62M05)


Related Items (3)

A journey from statistics and probability to risk theory. An interview with Ludger Rüschendorf ⋮ Disentangling mark/point interaction in marked-point processes ⋮ Estimating Mark Functions Through Spectral Analysis for Marked Point Patterns




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