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Non-Homogeneous Poisson Processes Applied to Count Data: A Bayesian Approach Considering Different Prior Distributions
Non-Homogeneous Poisson Processes Bayesian Analysis Markov Chain Monte Carlo Methods and Simulation Prior Distribution
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2013/3/12
This article discusses the Bayesian approach for count data using non-homogeneous Poisson processes, considering different prior distributions for the model parameters. A Bayesian approach using Marko...
Intensity estimation of non-homogeneous Poisson processes from shifted trajectories
Poisson processes Random shifts Intensity estimation Deconvolution Meyer wavelets Adaptive estimation Besov space Minimax rate
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2011/6/20
This paper considers the problem of adaptive estimation of a non-homogeneous intensity
function from the observation of n independent Poisson processes having a common intensity
that is randomly shi...