Items where City Author is "Verrall, R. J."

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Number of items: 30.

Article

Kaishev, V. K., Dimitrova, D. S., Haberman, S. & Verrall, R. J. (2016). Geometrically designed, variable knot regression splines. Computational Statistics, 31(3), pp. 1079-1105. doi: 10.1007/s00180-015-0621-7

Martinez-Miranda, M. D., Nielsen, J. P., Verrall, R. J. & Wüthrich, M. V. (2015). Double chain ladder, claims development inflation and zero-claims. Scandinavian Actuarial Journal, 2015(5), pp. 383-405. doi: 10.1080/03461238.2013.823459

Verrall, R. J. & Wüthrich, M. V. (2015). Parameter Reduction in Log-normal Chain-ladder Models. European Actuarial Journal, 5(2), pp. 355-380. doi: 10.1007/s13385-015-0114-7

Nielsen, J. P., Agbeko, T., Miranda, M. D. M. & Verrall, R. J. (2014). Validating the double chain ladder stochastic claims reserving model. Variance: advancing the science of risk, 8(2), pp. 138-160.

Martinez-Miranda, M. D., Nielsen, J. P., Sperlich, S. & Verrall, R. J. (2013). Continuous Chain Ladder: Reformulating and generalizing a classical insurance problem. Expert Systems with Applications, 40(14), pp. 5588-5603. doi: 10.1016/j.eswa.2013.04.006

Martinez-Miranda, M. D., Nielsen, J. P. & Verrall, R. J. (2013). Double Chain Ladder and Bornhuetter-Ferguson. North American Actuarial Journal, 17(2), pp. 101-113. doi: 10.1080/10920277.2013.793158

Verrall, R. J. & Wüthrich, M. V. (2012). Reversible jump Markov chain Monte Carlo method for parameter reduction in claims reserving. North American Actuarial Journal, 16(2), pp. 240-259. doi: 10.1080/10920277.2012.10590639

England, P. D., Verrall, R. J. & Wüthrich, M. V. (2012). Bayesian Overdispersed Poisson Model and the Bornhuetter-Ferguson Claim Reserving Method. Annals of Actuarial Science, 6(2), pp. 258-283. doi: 10.1017/S1748499512000012

Martinez-Miranda, M. D., Nielsen, J. P. & Verrall, R. J. (2012). Double Chain Ladder. ASTIN Bulletin, 42(1), pp. 59-76.

Verrall, R. J., Hossjer, O. & Bjorkwall, S. (2012). Modelling Claims Run-off with Reversible Jump Markov Chain Monte Carlo Methods. ASTIN Bulletin, 42(1), pp. 35-58.

Verrall, R. J. & Haberman, S. (2011). Automated Graduation using Bayesian Trans-dimensional Models. Annals of Actuarial Science, 5(2), pp. 231-251. doi: 10.1017/S1748499511000248

Sithole, T., Haberman, S. & Verrall, R. J. (2011). Second international comparative study of mortality tables for pension fund retirees. British Actuarial Journal, 17(3), pp. 650-671. doi: 10.1017/S1357321712000207

Bjorkwall, S., Hossjer, O., Ohlsson, E. & Verrall, R. J. (2011). A generalized linear model with smoothing effects for claims reserving. Insurance: Mathematics and Economics, 49(1), pp. 27-37. doi: 10.1016/j.insmatheco.2011.01.012

Martinez-Miranda, M. D., Nielsen, B., Nielsen, J. P. & Verrall, R. J. (2011). Cash flow simulation for a model of outstanding liabilities based on claim amounts and claim numbers. ASTIN Bulletin, 41(1), pp. 107-129.

Haberman, S., Khalaf-Allah, M.A.E. & Verrall, R. J. (2011). Entropy, longevity and the cost of annuities. Insurance: Mathematics and Economics, 48(2), pp. 197-204. doi: 10.1016/j.insmatheco.2010.10.005

Verrall, R. J., Nielsen, J. P. & Jessen, A. H. (2010). Prediction of RBNS and IBNR claims using claim amounts and claim counts. ASTIN Bulletin, 40(2), pp. 871-887.

Liu, H. & Verrall, R. J. (2010). Bootstrap Estimation of the Predictive Distributions of Reserves Using Paid and Incurred Claims. Variance, 4, pp. 121-135.

Liu, H. & Verrall, R. J. (2009). A Bootstrap Estimate of the Predictive Distribution of Outstanding Claims for the Schnieper Model. ASTIN Bulletin, 39(2), pp. 677-689. doi: 10.2143/AST.39.2.2044653

Butt, Z., Haberman, S., Verrall, R. J. & Wass, V. (2008). Calculating compensation for loss of future earnings: estimating and using work life expectancy. Journal of the Royal Statistical Society: Series A (Statistics in Society), 171(4), pp. 763-805. doi: 10.1111/j.1467-985X.2007.00539.x

Monograph

Dimitrova, D. S., Kaishev, V. K., Lattuada, L. & Verrall, R. J. (2017). Geometrically Designed Variable Knot Splines in Generalized (Non-)Linear Models. .

Kaishev, V. K., Dimitrova, D. S., Haberman, S. & Verrall, R. J. (2006). Geometrically designed, variable knot regression splines: variation diminish optimality of knots (Report No. Statistical Research Paper No. 29). London, UK: Faculty of Actuarial Science & Insurance, City University London.

Kaishev, V. K., Dimitrova, D. S., Haberman, S. & Verrall, R. J. (2006). Geometrically designed, variable know regression splines: asymptotics and inference (Report No. Statistical Research Paper No. 28). London, UK: Faculty of Actuarial Science & Insurance, City University London.

Kaishev, V. K., Dimitrova, D. S., Haberman, S. & Verrall, R. J. (2004). Automatic, computer aided geometric design of free-knot, regression splines (Report No. Statistical Research Paper No. 24). London, UK: Faculty of Actuarial Science & Insurance, City University London.

Verrall, R. J. (2001). A Bayesian generalised linear model for the Bornhuetter-Ferguson method of claims reserving (Report No. Actuarial Research Paper No. 139). London, UK: Faculty of Actuarial Science & Insurance, City University London.

Verrall, R. J. & Yakoubov, Y. H. (1998). A fuzzy approach to grouping by policyholder age in general insurance (Report No. Actuarial Research Paper No. 104). London, UK: Faculty of Actuarial Science & Insurance, City University London.

Huber, P. P. & Verrall, R. J. (1998). The need for theory in actuarial economic models (Report No. Actuarial Research Paper No. 109). London, UK: Faculty of Actuarial Science & Insurance, City University London.

Verrall, R. J. (1996). A unified framework for graduation (Report No. Actuarial Research Paper No. 91). London, UK: Faculty of Actuarial Science & Insurance, City University London.

Conference or Workshop Item

Verrall, R. J. & Liu, H. (2010). Bootstrap Estimation of the Predictive Distributions of Reserves using Paid and Incurred Claims. Paper presented at the ASTIN Colloquium 2008, 13-16 Jul 2008, Manchester, UK.

Thesis

Verrall, R. J. (1989). Stochastic Models for Triangular Tables with Applications to Cohort Data and Claims Reserving. (Unpublished Doctoral thesis, City University London)

Report

Kaishev, V. K., Dimitrova, D. S., Haberman, S. & Verrall, R. J. (2006). Geometrically Designed, Variable Knot Regression Splines: Asymptotics and Inference (Report No. Statistical Research Paper No. 28). Cass Business School, City University, London.

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