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Items where Schools and Departments is "Actuarial Science & Insurance" and Year is 2017

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Number of items: 35.

A

Asimit, A.V., Bignozzi, V., Cheung, K. C. , Hu, J. & Kim, E. (2017). Robust and Pareto Optimality of Insurance Contract. European Journal of Operational Research, 262(2), pp. 720-732. doi: 10.1016/j.ejor.2017.04.029

Asimit, A.V. & Li, J. (2017). Systemic Risk: An Asymptotic Evaluation. .

B

Black, R., Tsanakas, A., Smith, A. , Beck, M. B., Maclugash, I. D., Grewal, J., Witts, L., Morjaria, N., Green, R. & Lim, Z. (2017). Model risk: illuminating the black box. British Actuarial Journal, doi: 10.1017/S1357321717000150

Boonen, T. J., Tsanakas, A. & Wuethrich, M. V. (2017). Capital allocation for portfolios with non-linear risk aggregation. Insurance: Mathematics and Economics, 72, pp. 95-106. doi: 10.1016/j.insmatheco.2016.11.003

Bräutigam, M., Guillén, M. & Nielsen, J. P. (2017). Facing Up to Longevity with Old Actuarial Methods: A Comparison of Pooled Funds and Income Tontines. Geneva Papers on Risk and Insurance: Issues and Practice, 42(3), pp. 406-422. doi: 10.1057/s41288-017-0056-1

C

Chen, A. (2017). The impact of behavioral factors on annuitisation decisions and decumulation strategies. (Unpublished Doctoral thesis, City, University of London)

Chen, A., Haberman, S. & Thomas, S. (2017). Why the deferred annuity makes sense - an application of hyperbolic discounting to the annuity puzzle. Paper presented at the International Actuarial Association Life Colloquium, 23-24 Oct 2017, Barcelona, Spain.

Chronopoulos, M., Hagspiel, V. & Fleten, S-K. (2017). Stepwise investment and capacity sizing under uncertainty. OR Spectrum, 39(2), pp. 447-472. doi: 10.1007/s00291-016-0460-0

Chronopoulos, M. & Lumbreras, S. (2017). Optimal regime switching under risk aversion and uncertainty. European Journal of Operational Research, 256(2), pp. 543-555. doi: 10.1016/j.ejor.2016.06.027

D

D'Amato, V., Haberman, S. & Piscopo, G. (2017). The dependency premium based on a multifactor model for dependent mortality data. Communications in Statistics - Theory and Methods, doi: 10.1080/03610926.2017.1366523

Debon, A., Chaves, L., Haberman, S. & Villa, F. (2017). Characterization of between-group inequality of longevity in European Union countries. Insurance: Mathematics and Economics, 75, pp. 151-165. doi: 10.1016/j.insmatheco.2017.05.005

Dimitrova, D. S., Ignatov, Z. G. & Kaishev, V. K. (2017). On the First Crossing of Two Boundaries by an Order Statistics Risk Process. Risks, 5(3), 43.. doi: 10.3390/risks5030043

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

Dimitrova, D. S., Kaishev, V. K. & Tan, S. (2017). Computing the Kolmogorov-Smirnov Distribution when the Underlying cdf is Purely Discrete, Mixed or Continuous. .

F

Filippou, P., Marra, G. & Radice, R. ORCID: 0000-0002-6316-3961 (2017). Penalized likelihood estimation of a trivariate additive probit model. Biostatistics, 18(3), pp. 569-585. doi: 10.1093/biostatistics/kxx008

G

Gonzalez-Manteiga, W, Borrajo, MI & Martinez-Miranda, M. D. (2017). Bandwidth selection for kernel density estimation with length-biased data. Journal of Nonparametric Statistics, 29(3), pp. 636-668. doi: 10.1080/10485252.2017.1339309

H

Haberman, S., Ntamjokouen, A. & Consigli, G. (2017). Projecting the long run relationship of multi-population life expectancy by race. Journal of Statistical and Econometric Methods, 6(2), pp. 43-68.

K

Kenny, T., Barnfield, J., Daly, L. , Dunn, A., Passey, D., Rickayzen, B. D. & Teow, A. (2017). The future of social care funding: who pays?. British Actuarial Journal, 22(1), pp. 10-44. doi: 10.1017/S135732171600012X

Kyriakou, I., Pouliasis, P. K., Papapostolou, N. C. & Nomikos, N. (2017). Income Uncertainty and the Decision to Invest in Bulk Shipping. European Financial Management, doi: 10.1111/eufm.12132

L

Lee, Y. K., Mammen, E., Nielsen, J. P. & Park, B. U. (2017). Operational time and in-sample density forecasting. Annals of Statistics, 45(3), pp. 1312-1341. doi: 10.1214/16-AOS1486

M

Margraf, C. (2017). On the use of micro models for claims reversing based on aggregate data. (Unpublished Doctoral thesis, City, University of London)

Marra, G. & Radice, R. ORCID: 0000-0002-6316-3961 (2017). Bivariate copula additive models for location, scale and shape. Computational Statistics & Data Analysis, 112, pp. 99-113. doi: 10.1016/j.csda.2017.03.004

Marra, G. & Radice, R. ORCID: 0000-0002-6316-3961 (2017). A joint regression modeling framework for analyzing bivariate binary data in R. Dependence Modeling, 5(1), pp. 268-294. doi: 10.1515/demo-2017-0016

Marra, G., Radice, R. ORCID: 0000-0002-6316-3961, Bärnighausen, T. , Wood, S. N. & McGovern, M. E. (2017). A Simultaneous Equation Approach to Estimating HIV Prevalence With Nonignorable Missing Responses. Journal of the American Statistical Association, 112(518), pp. 484-496. doi: 10.1080/01621459.2016.1224713

Marra, G., Radice, R. ORCID: 0000-0002-6316-3961 & Filippou, P. (2017). Regression spline bivariate probit models: A practical approach to testing for exogeneity. Communications in Statistics - Simulation and Computation, 46(3), pp. 2283-2298. doi: 10.1080/03610918.2015.1041974

Mayhew, L. (2017). Means Testing Adult Social Care in England. The Geneva Papers on Risk and Insurance - Issues and Practice, doi: 10.1057/s41288-016-0041-0

Mayhew, L., Smith, D. & O’Leary, D. (2017). Paying for Care Costs in Later Life Using the Value in People’s Homes. The Geneva Papers on Risk and Insurance - Issues and Practice, 42(1), pp. 129-151. doi: 10.1057/gpp.2015.34

R

Rickayzen, B. D., Smith, D. & Mayhew, L. (2017). Flexible and affordable methods of paying for long term care insurance. International Longevity Centre – UK (ILC-UK)/Cass Business School.

S

Schumacher, R. (2017). Improving the capacity of radio spectrum: exploration of the acyclic orientations of a graph. (Unpublished Doctoral thesis, City, University of London)

Shang, H.L. & Haberman, S. (2017). Grouped multivariate and functional time series forecasting: an application to annuity pricing. Insurance: Mathematics and Economics, 75, pp. 166-179. doi: 10.1016/j.insmatheco.2017.05.007

Shang, H.L. & Haberman, S. (2017). Grouped multivariate and functional time series forecasting: an application to annuity pricing. In: 2017 Living to 100 Monograph. . USA: Society of Actuaries.

V

Villegas, A., Haberman, S., Kaishev, V. K. & Millossovich, P. (2017). A comparative study of two population models for the assessment of basis risk in longevity hedges. ASTIN Bulletin, 47(3), pp. 631-679. doi: 10.1017/asb.2017.18

W

Wang, Z., Zhu, R. ORCID: 0000-0002-9944-0369, Fukui, K. & Xue, J-H. (2017). Matched Shrunken Cone Detector (MSCD): Bayesian Derivations and Case Studies for Hyperspectral Target Detection. IEEE Transactions on Image Processing, 26(11), pp. 5447-5461. doi: 10.1109/TIP.2017.2740621

Z

Zhu, R. ORCID: 0000-0002-9944-0369, Fukui, K. & Xue, J-H. (2017). Building a discriminatively ordered subspace on the generating matrix to classify high-dimensional spectral data. Information Sciences, 382, pp. 1-14. doi: 10.1016/j.ins.2016.12.001

Zhu, R. ORCID: 0000-0002-9944-0369 & Xue, J-H. (2017). On the orthogonal distance to class subspaces for high-dimensional data classification. Information Sciences, 417, pp. 262-273. doi: 10.1016/j.ins.2017.07.019

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