Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies

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An Exploration of Genetic Algorithms Operators for the Detection of Multiple Change-Points of Exceedances Using Non-homogeneous Poisson Processes and Bayesian Methods

Book chapter (November 2023)

Change Point Detection for Time Dependent Counts Using Extended MDL and Genetic Algorithms

Book chapter (November 2023)

Genetic algorithm with a Bayesian approach for multiple change-point detection in time series of counting exceedances for specific thresholds

Article in Journal of the Korean Statistical Society (October 2023)

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