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Alan Xian

UNSW Australia Business School, School of Risk & Actuarial Studies

Room 2058 South Wing 2nd Floor

Quadrangle building, Kensington Campus

Sydney, NSW 2052

Australia

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Scholarly Papers (1)

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Modelling and Understanding Count Processes Through a Markov-Modulated Non-Homogeneous Poisson Process Framework

UNSW Business School Research Paper No. 2019ACTL01
Number of pages: 27 Posted: 04 Apr 2019 Last Revised: 12 Jul 2019
Benjamin Avanzi, Greg Taylor, Bernard Wong and Alan Xian
University of Melbourne - Centre for Actuarial Studies, UNSW Australia Business School, School of Risk & Actuarial Studies, UNSW Australia Business School, School of Risk & Actuarial Studies and UNSW Australia Business School, School of Risk & Actuarial Studies
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Abstract:

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Risk analysis, Markov processes, Count processes, Data analysis, EM algorithm