Other Publications

Shi, P., Gao, L. (2019) Aggregate Loss Models, in Loss Data Analytics, edited by E.W. Frees, Open Actuarial Textbook, pp. 133-160.

Shi, P., Guszcza, J. (2016) Frameworks for General Insurance Ratemaking: Beyond the Generalized Linear Model, in Predictive Modeling Applications in Actuarial Science: Volume II, Case Studies in Insurance, edited by E.W. Frees, G.G. Meyers, R. Derrig, Cambridge University Press, pp. 100-125.

Antonio, K., Shi, P., Berkum, F.V. (2014) Longitudinal Data and Experience Rating, in Computational Actuarial Science with R, edited by A. Charpentier, Chapman & Hall/CRC Press, pp. 511-542.

Shi, P. (2014) Fat-tailed Regression Models, in Predictive Modeling Applications in Actuarial Science: Volume I, Predictive Modeling Techniques, edited by E.W. Frees, G.G. Meyers, R. Derrig, Cambridge University Press, pp. 236-259.

Okine, A.N. Frees, E.W., Shi, P. (2020) Joint Model for Individual-Level Loss Reserving: An Empirical Analysis. CAS E-Forum.

Bauer, D., Crabb, R., Enderle, G., Frees, E., Johnson, P., Peter, K., Rosenberg, M., Shi, P. (2019) Getting Schooled. The Actuary.

Shi, P., Hartman, B.M. (2014) Credibility in loss reserving, CAS E-Forum.

Meyers, G., Shi, P. (2011) The retrospective testing of stochastic loss reserve models, CAS E-Forum.

Shinichi, K., Shi, P., Schmit, J., Rosenberg, M. (2007) An analysis of risk management terminology, The Actuary, 4(6), pp. 33-41.