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- W2906202904 abstract "We propose a Bayesian semiparametric approach for registration of multiple point processes. Our approach entails modelling the mean measures of the phase-varying point processes with a Bernstein–Dirichlet prior, which induces a prior on the space of all warp functions. Theoretical results on the support of the induced priors are derived, and posterior consistency is obtained under mild conditions. Numerical experiments suggest a good performance of the proposed methods, and a climatology real-data example is used to showcase how the method can be employed in practice." @default.
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- W2906202904 date "2022-01-01" @default.
- W2906202904 modified "2023-09-27" @default.
- W2906202904 title "Bayesian semiparametric modelling of phase-varying point processes" @default.
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- W2906202904 doi "https://doi.org/10.1214/21-ejs1973" @default.
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