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

SCHOLARLY PAPERS

1

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39

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0

Scholarly Papers (1)

1.

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
UNSW Australia Business School, School of Risk and 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
Downloads 39 (426,004)

Abstract:

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