Poisson intensity estimation with reproducing kernels
Despite the fundamental nature of the inhomogeneous Poisson process in the theory and application of stochastic processes, and its attractive generalizations (e.g. Cox process), few tractable nonparametric modeling approaches of intensity functions exist, especially in high dimensional settings. In...
Главные авторы: | Flaxman, S, Teh, Y, Sejdinovic, D |
---|---|
Формат: | Conference item |
Опубликовано: |
AI & Statistics
2017
|
Схожие документы
-
Poisson intensity estimation with reproducing kernels
по: Flaxman, S, и др.
Опубликовано: (2017) -
Bayesian learning of kernel embeddings
по: Filippi, S, и др.
Опубликовано: (2016) -
Bayesian kernel two-sample testing
по: Zhang, Q, и др.
Опубликовано: (2022) -
Causal inference via Kernel deviance measures
по: Mitrovic, J, и др.
Опубликовано: (2018) -
DR-ABC: Approximate Bayesian computation with kernel-based distribution regression
по: Mitrovic, J, и др.
Опубликовано: (2016)