has been cited by the following article(s):
[1]
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Comparing different models to forecast the number of mass shootings in the United States: An application of forecasting rare event time series data
PLOS ONE,
2023
DOI:10.1371/journal.pone.0287427
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[2]
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Bayesian change-points detection assuming a power law process in the recurrent-event context
Communications in Statistics - Simulation and Computation,
2023
DOI:10.1080/03610918.2021.2006711
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[3]
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Bayesian change-points detection assuming a power law process in the recurrent-event context
Communications in Statistics - Simulation and Computation,
2021
DOI:10.1080/03610918.2021.2006711
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[4]
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A change-point detection and clustering method in the recurrent-event context
Journal of Statistical Computation and Simulation,
2020
DOI:10.1080/00949655.2020.1718149
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[5]
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A non-parametric Bayesian change-point method for recurrent events
Journal of Statistical Computation and Simulation,
2020
DOI:10.1080/00949655.2020.1792907
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[6]
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Using a non-homogeneous Poisson model with spatial anisotropy and change-points to study air pollution data
Environmental and Ecological Statistics,
2019
DOI:10.1007/s10651-019-00423-6
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