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Asimit, A.V. and Jones, B. (2007). Extreme behavior of multivariate phase-type distributions. Insurance: Mathematics and Economics, 41(2), pp. 223-233. doi: 10.1016/j.insmatheco.2006.10.016

Asimit, A.V., Li, D. and Peng, L. (2010). Pitfalls in using Weibull tailed distributions. Journal of Statistical Planning and Inference, 140(7), pp. 2018-2024. doi: 10.1016/j.jspi.2010.01.039

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Giordano, G., Haberman, S. ORCID: 0000-0003-2269-9759 and Russolillo, M. (2019). Coherent modeling of mortality patterns for age-specific subgroups. Decisions in Economics and Finance, doi: 10.1007/s10203-019-00245-y

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González-Manteiga, W., Martinez-Miranda, M. D. and Van Keilegom, I. (2016). Goodness-of-fit test in parametric mixed effects models based on estimation of the error distribution. Biometrika, 103(1), pp. 133-146. doi: 10.1093/biomet/asv061

Guillen, M., Nielsen, J. P. ORCID: 0000-0002-2798-0817, Pérez-Marín, A. and Elpidorou, V. (2019). Can automobile insurance telematics predict the risk of near-miss events?. North American Actuarial Journal, doi: 10.1080/10920277.2019.1627221

Guillén, M., Jarner, S. F., Nielsen, J. P. and Pérez-Marín, A. M. (2014). Risk-adjusted impact of administrative costs on the distribution of terminal wealth for long-term investment. Scientific World Journal, 2014, 521074 - ?. doi: 10.1155/2014/521074

Guillén, M., Nielsen, J. P. ORCID: 0000-0002-2798-0817, Ayuso, M. and Perez-Marin, A. M. (2018). The use of telematics devices to improve automobile insurance rates. Risk Analysis, doi: 10.1111/risa.13172

Gámiz Pérez, M. L., Janys, L., Martinez-Miranda, M. D. and Nielsen, J. P. (2013). Bandwidth selection in marker dependent kernel hazard estimation. Computational Statistics and Data Analysis, 68, pp. 155-169. doi: 10.1016/j.csda.2013.06.010

Gámiz Pérez, M. L., Mammen, E., Miranda, M. D. M. and Nielsen, J. P. (2016). Double one-sided cross-validation of local linear hazards. Journal of the Royal Statistical Society: Series B, 78(4), pp. 755-779. doi: 10.1111/rssb.12133

Gámiz Pérez, M. L., Martinez-Miranda, M. D. and Nielsen, J. P. ORCID: 0000-0002-2798-0817 (2018). Multiplicative local linear hazard estimation and best one-sided cross-validation. Journal of Machine Learning, 19, pp. 1-29.

Gámiz Pérez, M. L., Martinez-Miranda, M. D. and Nielsen, J. P. (2013). Smoothing survival densities in practice. Computational Statistics and Data Analysis, 58(1), pp. 368-382. doi: 10.1016/j.csda.2012.09.011

Haberman, S., Denuit, M. and Renshaw, A. E. (2013). Approximations for quantiles of life expectancy and annuity values using the parametric improvement rate approach for modelling and projecting mortality. European Actuarial Journal, 3(1), pp. 191-201. doi: 10.1007/s13385-013-0065-9

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Haibu, M., Margraf, C., Miranda, M. D. M. and Nielsen, J. P. (2016). The Link Between Classical Reserving and Granular Reserving Through Double Chain Ladder and its Extensions. British Actuarial Journal, 21(1), pp. 97-116. doi: 10.1017/S1357321715000288

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Luciano, E., Spreeuw, J. and Vigna, E. (2016). Spouses’ Dependence across Generations and Pricing Impact on Reversionary Annuities. Risks, 4(2), 16-.. doi: 10.3390/risks4020016

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Mammen, E., Martinez-Miranda, M. D. and Nielsen, J. P. (2015). In-Sample Forecasting Applied to Reserving and Mesothelioma Mortality. Insurance: Mathematics and Economics, 61, pp. 76-86. doi: 10.1016/j.insmatheco.2014.12.001

Mammen, E., Martinez-Miranda, M. D., Nielsen, J. P. and Sperlich, S. (2011). Do-Validation for Kernel Density Estimation. Journal of the American Statistical Association, 106(494), pp. 651-660. doi: 10.1198/jasa.2011.tm08687

Mammen, E., Martinez-Miranda, M. D., Nielsen, J. P. and Sperlich, S. (2014). Further theoretical and practical insight to the do-validated bandwidth selector. Journal of the Korean Statistical Society, 43(3), pp. 355-365. doi: 10.1016/j.jkss.2013.11.001

Mammen, E., Nielsen, J. P. and Fitzenberger, B. (2011). Generalized linear time series regression. Biometrika, 98(4), pp. 1007-1014. doi: 10.1093/biomet/asr044

Margraf, C., Elpidorou, V. and Verrall, R. J. (2018). Claims reserving in the presence of excess-of-loss reinsurance using micro models based on aggregate data. Insurance: Mathematics and Economics, 80, pp. 54-65. doi: 10.1016/j.insmatheco.2018.03.001

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Marra, G., Papageorgiou, G. and Radice, R. ORCID: 0000-0002-6316-3961 (2013). Estimation of a Semiparametric Recursive Bivariate Probit Model with Nonparametric Mixing. Australian & New Zealand Journal of Statistics, 55(3), pp. 321-342. doi: 10.1111/anzs.12043

Marra, G. and 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. and Radice, R. ORCID: 0000-0002-6316-3961 (2019). Copula Link-Based Additive Models for Right-Censored Event Time Data. Journal of the American Statistical Association, doi: 10.1080/01621459.2019.1593178

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Marra, G., Radice, R. ORCID: 0000-0002-6316-3961, Bärnighausen, T., Wood, S. N. and 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

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Millossovich, P., Villegas, A.M. and Kaishev, V. K. (2018). StMoMo: An R Package for Stochastic Mortality Modelling. Journal of Statistical Software, 84(3), doi: 10.18637/jss.v084.i03

Nielsen, B. and Nielsen, J. P. (2014). Identification and forecasting in mortality models. The Scientific World Journal, 2014, 347043 - ?. doi: 10.1155/2014/347043

Nielsen, J. P., Young, K., Mammen, E. and Byeong, U. P (2015). Asymptotics for In-Sample Density Forecasting. Annals of Statistics, 43(2), pp. 620-651. doi: 10.1214/14-AOS1288

Owadally, I. (2014). Tail risk in pension funds: An analysis using ARCH models and bilinear processes. Review of Quantitative Finance and Accounting, 43(2), pp. 301-331. doi: 10.1007/s11156-013-0373-9

Owadally, I. (2012). An improved closed-form solution for the constrained minimization of the root of a quadratic functional. Journal of Computational and Applied Mathematics, 236(17), pp. 4428-4435. doi: 10.1016/j.cam.2012.04.014

Owadally, I., Haberman, S. and Gomez, D. (2011). A Savings Plan with Targeted Contributions. Journal of Risk and Insurance, 80(4), pp. 975-1000. doi: 10.1111/j.1539-6975.2012.01485.x

Owadally, I. and Landsman, Z. (2013). A characterization of optimal portfolios under the tail mean-variance criterion. Insurance: Mathematics and Economics, 52(2), pp. 213-221. doi: 10.1016/j.insmatheco.2012.12.004

Owadally, M. I (2012). How to get the most from your piggy bank. InBusiness, 17, p. 34.

Owadally, M. I (2003). Pension funding and the actuarial assumption concerning investment returns. ASTIN Bulletin: Journal of the International Actuarial Association, 33(2), pp. 289-312. doi: 10.1017/S0515036100013477

Owadally, M. I and Haberman, S. (2004). Efficient Gain and Loss Amortization and Optimal Funding in Pension Plans. North American Actuarial Journal, 8(1), pp. 21-36. doi: 10.1080/10920277.2004.10596126

Owadally, M. I and Haberman, S. (2003). Exponential smoothing methods in pension funding. IMA Journal of Management Mathematics, 14(2), pp. 129-143. doi: 10.1093/imaman/14.2.129

Owadally, M. I and Haberman, S. (2001). Pension plan asset valuation. Pension Forum, 13(1), pp. 51-60.

Owadally, M. I and Haberman, S. (2004). Reply to discussion on "Efficient gain and loss amortization and optimal funding in pension plans". North American Actuarial Journal, 8(2), pp. 124-125. doi: 10.1080/10920277.2004.10596149

Owadally, M. I and Haberman, S. (2004). The treatment of assets in pension funding. ASTIN Bulletin: Journal of the International Actuarial Association, 34(2), pp. 425-433. doi: 10.2143/AST.34.2.505151

Owadally, M. I ORCID: 0000-0002-0830-3554, Zhou, F., Otunba, R., Lin, J. and Wright, I. D. (2019). Time Series Data Mining with an Application to the Measurement of Underwriting Cycles. North American Actuarial Journal,

Owadally, M. I ORCID: 0000-0002-0830-3554, Zhou, F., Otunba, R., Lin, J. and Wright, I. D. (2019). An agent-based system with temporal data mining for monitoring financial stability on insurance markets. Expert Systems with Applications, 123, pp. 270-282. doi: 10.1016/j.eswa.2019.01.049

Owadally, M. I ORCID: 0000-0002-0830-3554, Zhou, F. and Wright, I. D. (2018). The Insurance Industry as a Complex Social System: Competition, Cycles, and Crises. Journal of Artificial Societies and Social Simulation, 21(4), 2.. doi: 10.18564/jasss.3819

Papapostolou, N. C., Pouliasis, P. K., Nomikos, N. and Kyriakou, I. (2016). Shipping Investor Sentiment and International Stock Return Predictability. Transportation Research Part E: Logistics and Transportation Review, 96, pp. 81-94. doi: 10.1016/j.tre.2016.10.006

Pesenti, S. M., Millossovich, P. ORCID: 0000-0001-8269-7507 and Tsanakas, A. ORCID: 0000-0003-4552-5532 (2018). Euler allocations in the presence of non-linear reinsurance: comment on Major (2018). Insurance: Mathematics and Economics, doi: 10.1016/j.insmatheco.2018.09.001

Pesenti, S. M., Millossovich, P. ORCID: 0000-0001-8269-7507 and Tsanakas, A. ORCID: 0000-0003-4552-5532 (2018). Reverse sensitivity testing: What does it take to break the model?. European Journal of Operational Research, doi: 10.1016/j.ejor.2018.10.003

Pesenti, S. M., Millossovich, P. and Tsanakas, A. (2016). Robustness Regions for Measures of Risk Aggregation. Dependence Modeling, 4(1), pp. 348-367. doi: 10.1515/demo-2016-0020

Piscopo, G. and Haberman, S. (2011). The valuation of guaranteed lifelong withdrawal benefit options in variable annuity contracts and the impact of mortality risk. North American Actuarial Journal, 15(1), pp. 59-76. doi: 10.1080/10920277.2011.10597609

Pouliasis, P. K. ORCID: 0000-0002-7389-3722, Papapostolou, N. C. ORCID: 0000-0003-4529-1182, Kyriakou, I. ORCID: 0000-0001-9592-596X and Visvikis, I.D. (2018). Shipping equity risk behavior and portfolio management. Transportation Research Part A: Policy and Practice, 116, pp. 178-200.

Radice, R. ORCID: 0000-0002-6316-3961, Marra, G. and Wojtys, M. (2016). Copula regression spline models for binary outcomes. Statistics and Computing, 26(5), pp. 981-995. doi: 10.1007/s11222-015-9581-6

Rickayzen, B. D. ORCID: 0000-0002-0433-0870, Klohn, F. and Karlsson, M. (2018). The Role of Heterogeneous Parameters for the Detection of Selection in Insurance Contracts. Insurance: Mathematics and Economics, doi: 10.1016/j.insmatheco.2018.08.002

Rickayzen, B. D., Mayhew, L. and Smith, D. (2017). Flexible and affordable methods of paying for long-term care insurance. North American Actuarial Journal,

Ring, P. J., Bryce, C. ORCID: 0000-0002-9856-7851, McKinney, R. and Webb, R. (2016). Taking notice of risk culture – the regulator’s approach. Journal of Risk Research, 19(3), pp. 364-387. doi: 10.1080/13669877.2014.983944

Russolillo, M., Giordano, G. and Haberman, S. (2011). Extending the Lee Carter Model: a Three-way Decomposition. Scandinavian Actuarial Journal, 2011(2), pp. 96-117. doi: 10.1080/03461231003611933

Scholz, M., Nielsen, J. P. and Sperlich, S. (2015). Nonparametric Prediction of Stock Returns Based on Yearly Data: The Long-Term View. Insurance: Mathematics and Economics, 65, pp. 143-155. doi: 10.1016/j.insmatheco.2015.09.011

Scholz, M., Sperlich, S. and Nielsen, J. P. (2016). Nonparametric long term prediction of stock returns with generated bond yields. Insurance: Mathematics and Economics, 69, pp. 82-96. doi: 10.1016/j.insmatheco.2016.04.007

Shang, H.L. and Haberman, S. ORCID: 0000-0003-2269-9759 (2019). Forecasting age distribution of death counts: An application to annuity pricing. Annals of Actuarial Science,

Shang, H.L. and 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

Simper, R., Dadoukis, A. and Bryce, C. ORCID: 0000-0002-9856-7851 (2019). European bank loan loss provisioning and efficient technological innovative progress. International Review of Financial Analysis, 63, pp. 119-130. doi: 10.1016/j.irfa.2019.03.001

Sithole, T., Haberman, S. and 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

Spreeuw, J. (2014). Archimedean copulas derived from utility functions. Insurance: Mathematics and Economics, 59, pp. 235-242. doi: 10.1016/j.insmatheco.2014.10.002

Spreeuw, J. and Karlsson, M. (2009). Time Deductibles as Screening Devices: Competitive Markets. Journal Of Risk And Insurance, 76(2), pp. 261-278. doi: 10.1111/j.1539-6975.2009.01298.x

Spreeuw, J., Nielsen, J. P. and Jarner, S. F. (2013). A nonparametric visual test of mixed hazard models. SORT - Statistics and Operations Research Transactions, 37(2), pp. 153-174.

Spreeuw, J. and Owadally, M. I (2013). Investigating the broken-heart effect: a model for short-term dependence between the remaining lifetimes of joint lives. Annals of Actuarial Science, 7(2), pp. 236-257. doi: 10.1017/S1748499512000292

Sturdy, P., Bremner, S., Harper, G., Mayhew, L., Eldridge, S., Eversley, J., Sheikh, A., Hunter, S., Boomla, K., Feder, G., Prescott, K. and Griffiths, C. (2012). Impact of asthma on educational attainment in a socioeconomically deprived population: a study linking health, education and social care datasets. PLoS One, 7(11), e43977. doi: 10.1371/journal.pone.0043977

Tsanakas, A. (2004). Dynamic capital allocation with distortion risk measures. Insurance: Mathematics and Economics, 35(2), pp. 223-243. doi: 10.1016/j.insmatheco.2003.09.005

Tsanakas, A. (2016). Making a Market for Acts of God: The Practice of Risk-Trading in the Global Reinsurance Industry. Journal Of Risk And Insurance, 83(2), pp. 501-504. doi: 10.1111/jori.12160

Tsanakas, A. (2012). Modelling: The elephant in the room. The Actuary, 2012,

Tsanakas, A. (2008). Risk measurement in the presence of background risk. Insurance: Mathematics and Economics, 42(2), pp. 520-528. doi: 10.1016/j.insmatheco.2007.01.015

Tsanakas, A. (2009). To split or not to split: capital allocation with convex risk measures. Insurance: Mathematics and Economics, 44(2), pp. 268-277. doi: 10.1016/j.insmatheco.2008.03.007

Tsanakas, A. and Barnett, C. (2003). Risk capital allocation and cooperative pricing of insurance liabilities. Insurance: Mathematics and Economics, 33(2), pp. 239-254. doi: 10.1016/S0167-6687(03)00137-9

Tsanakas, A. and Christofides, N. (2006). Risk exchange with distorted probabilities. Astin Bulletin, 36(1), pp. 219-243. doi: 10.2143/AST.36.1.2014150

Tsanakas, A. and Desli, E. (2005). Measurement and Pricing of Risk in Insurance Markets. Risk Analysis, 25(6), pp. 1653-1668. doi: 10.1111/j.1539-6925.2005.00684.x

Tsanakas, A. and Desli, E. (2003). Risk measures and theories of choice. British Actuarial Journal, 9(4), pp. 959-991. doi: 10.1017/S1357321700004414

Tsanakas, A., Wuethrich, M. V. and Černý, A. (2013). Market value margin via mean-variance hedging. ASTIN Bulletin, 43(3), pp. 301-322. doi: 10.1017/asb.2013.18

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

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

Verrall, R. J. and 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

Verrall, R. J. and 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

Villegas, A. and Haberman, S. (2014). On the Modeling and Forecasting of Socioeconomic Mortality Differentials: An Application to Deprivation and Mortality in England. North American Actuarial Journal, 18(1), pp. 168-193. doi: 10.1080/10920277.2013.866034

Villegas, A., Haberman, S., Kaishev, V. K. and 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

Wang, R., Bignozzi, V. and Tsanakas, A. (2015). How Superadditive Can a Risk Measure Be?. SIAM Journal on Financial Mathematics, 6(1), pp. 776-803. doi: 10.1137/140981046

Wang, Z., Zhu, R. ORCID: 0000-0002-9944-0369, Fukui, K. and Xue, J-H. (2018). Cone-based joint sparse modelling for hyperspectral image classification. Signal Processing, 144, pp. 417-429. doi: 10.1016/j.sigpro.2017.11.001

Wang, Z., Zhu, R., Fukui, K. and 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

Webb, R., Watson, D., Ring, P. and Bryce, C. ORCID: 0000-0002-9856-7851 (2014). Pension Confusion, Uncertainty and Trust in Scotland: An Empirical Analysis. Journal of Social Policy, 43(03), pp. 595-613. doi: 10.1017/S0047279414000051

Wojtys, M., Marra, G. and Radice, R. ORCID: 0000-0002-6316-3961 (2016). Copula Regression Spline Sample Selection Models: The R Package SemiParSampleSel. Journal of Statistical Software, 71(6), doi: 10.18637/jss.v071.i06

Wojtys, M., Marra, G. and Radice, R. ORCID: 0000-0002-6316-3961 (2018). Copula based generalized additive models for location, scale and shape with non-random sample selection. Computational Statistics and Data Analysis, 127, pp. 1-14. doi: 10.1016/j.csda.2018.05.001

Wuethrich, M. V., Embrechts, P. and Tsanakas, A. (2011). Risk margin for a non-life insurance run-off. Statistics & Risk Modeling, 28(4), pp. 299-317. doi: 10.1524/strm.2011.1096

Zaks, Y. and Tsanakas, A. (2014). Optimal capital allocation in a hierarchical corporate structure. Insurance: Mathematics and Economics, 56, pp. 48-55. doi: 10.1016/j.insmatheco.2014.02.009

Zanin, L., Radice, R. ORCID: 0000-0002-6316-3961 and Marra, G. (2015). Modelling the impact of women's education on fertility in Malawi. Journal of Population Economics, 28(1), pp. 89-111. doi: 10.1007/s00148-013-0502-8

Zhu, R. ORCID: 0000-0002-9944-0369, Dong, M. and Xue, J-H. (2018). Learning distance to subspace for the nearest subspace methods in high-dimensional data classification. Information Sciences, 481, pp. 69-80. doi: 10.1016/j.ins.2018.12.061

Zhu, R. ORCID: 0000-0002-9944-0369, Dong, M. and Xue, J-H. (2014). Spectral non-local restoration of hyperspectral images with low-rank property. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(6), pp. 3062-3067. doi: 10.1109/JSTARS.2014.2370062

Zhu, R. ORCID: 0000-0002-9944-0369, Fukui, K. and 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, Wang, Z., Ma, Z., Wang, G. and Xue, J-H. (2018). LRID: A new metric of multi-class imbalance degree based on likelihood-ratio test. Pattern Recognition Letters, 116, pp. 36-42. doi: 10.1016/j.patrec.2018.09.012

Zhu, R., Wang, Z., Sogi, N., Fukui, K. and Xue, J-H. (2019). A Novel Separating Hyperplane Classification Framework to Unify Nearest-class-model Methods for High-dimensional Data. IEEE Transactions on Neural Networks and Learning Systems,

Zhu, R. ORCID: 0000-0002-9944-0369 and 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

Zhu, R. ORCID: 0000-0002-9944-0369, Zhou, F. and Xue, J-H. (2018). MvSSIM: A quality assessment index for hyperspectral images. Neurocomputing, 272, pp. 250-257. doi: 10.1016/j.neucom.2017.06.073

Zhu, R., Zhou, F., Yang, W. and Xue, J-H. (2018). On Hypothesis Testing for Comparing Image Quality Assessment Metrics [Tips & Tricks]. IEEE Signal Processing Magazine, 35(4), pp. 133-136. doi: 10.1109/MSP.2018.2829209

van den Berg, G., anys, L., Mammen, E. and Nielsen, J. P. ORCID: 0000-0002-2798-0817 (2019). A General Semiparametric Approach to Inference with Marker-Dependent Hazard Rate Models. Journal of Econometrics,

Černý, A. (2009). Characterization of the oblique projector U(VU)V-dagger with application to constrained least squares. Linear Algebra and its Applications, 431(9), pp. 1564-1570. doi: 10.1016/j.laa.2009.05.025

Book Section

Krummaker, S. ORCID: 0000-0003-2471-8175 and Thomann, C. (2018). Aspekte der Versicherung von Unternehmen. In: Schulenburg, J. (Ed.), Festschrift for Prof. dr. J.-Matthias Graf von der Schulenburg. (pp. 95-127). Karlsruhe: Verlag Versicherungswissenschaft. ISBN 978-3-96329-039-8

Mayhew, L. (2004). The Public-Private Split in Health Care Systems. In: MacKellar, L., Andriouchina, E. and Horlacher, D. (Eds.), Policy Pathways to Health in the Russian Federation. (pp. 55-65). Laxenburg, Austria: International Institute for Applied Systems Analysis.

Mayhew, L. and Smith, D. (2016). Decomposition of Life Expectancy at Older Ages and Prospects for Ageing Populations. In: Lombard, J., Stern, E. and Clarke, G. (Eds.), Applied Spatial Modelling and Planning. (pp. 172-188). Routledge. ISBN 9781138925700

Miranda, M. D. M., Nielsen, J. P. and Sperlich, S. (2009). One Sided Crossvalidation for Density Estimation. In: Gregoriou, G.N. (Ed.), Operational Risk Towards Basel III: Best Practices and Issues in Modeling, Management and Regulation. (pp. 177-196). New Jersey: John Wiley and Sons.

Shang, H.L. and 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.

Tsanakas, A. (2007). Risk measures and economic capital for (re)insurers. In: Everitt, B. and Melnick, E. (Eds.), Encyclopedia of Quantitative Risk Analysis and Assessment. . Wiley. ISBN 978-0-470-03549-8

Monograph

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

Biffis, E. and Millossovich, P. (2011). Optimal Insurance with Counterparty Default Risk. SSRN.

Bignozzi, V. and Tsanakas, A. (2013). Characterization and Construction of Sequentially Consistent Risk Measures. SSRN.

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

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

Mayhew, L. (2009). Increasing longevity and the economic value of healthy ageing and working longer. UK: Pensions Institute.

Mayhew, L. (2016). Means Testing Social Care in England. UK: International Longevity Centre.

Mayhew, L. and Smith, D. (2016). An investigation into inequalities in adult lifespan. UK: International Longevity Centre- UK.

Pesenti, S. M., Millossovich, P. ORCID: 0000-0001-8269-7507 and Tsanakas, A. ORCID: 0000-0003-4552-5532 (2018). Euler allocations in the presence of non-linear reinsurance: comment on Major (2018). .

Pesenti, S. M., Millossovich, P. and Tsanakas, A. (2018). Reverse sensitivity testing: What does it take to break the model?. .

Tsanakas, A. and Cabantous, L. (2018). The Model Ajar: Building Rationality Infrastructures within Insurance Organizations. .

Conference or Workshop Item

Chen, A., Haberman, S. and 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.

Dimitrova, D. S., Ignatov, Z. G. and Kaishev, V. K. (2015). Ruin and deficit at ruin under an extended order statistics risk process. Paper presented at the IME 2015, 24-26 Jun 2015, Liverpool, UK.

Spreeuw, J. (2010). Relationships Between Archimedean Copulas and Morgenstern Utility Functions. Paper presented at the Copula Theory and Its Applications, 25-26 September 2009, Warsaw.

Verrall, R. J. and 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

Bignozzi, Valeria (2012). Contributions to solvency risk measurement. (Unpublished Doctoral thesis, City University London)

Butt, Z. (2014). A Study of Actuarial Models for Insurance Based Applications. (Unpublished Doctoral thesis, City, University of London)

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

Dimitrova, D. S. (2007). Dependent risk modelling in (re)insurance and ruin. (Unpublished Doctoral thesis, City University London)

Gavranovic, Nedim (2011). Optimal asset allocation and annuitisation in a defined contribution pension scheme. (Unpublished Doctoral thesis, City University London)

Hiabu, M. (2016). In-sample forecasting: structured models and reserving. (Unpublished Doctoral thesis, City, University of London)

Hu, J. (2018). Theoretical and empirical study on optimal insurance and reinsurance design. (Unpublished Doctoral thesis, City, University of London)

Hunt, A. (2015). Mortality modelling and longevity risk management. (Unpublished Doctoral thesis, City University London)

Jho, J.H. (2008). Heavy tails and dependence with applications in insurance. (Unpublished Doctoral thesis, City, University of London)

Khalaf-Allah, M.A.E. (2007). Stochastic analysis of longevity and investment risk in the context of life annuities. (Unpublished Doctoral thesis, City University London)

Khalil, D. (2006). Dynamic pension funding models. (Unpublished Doctoral thesis, City University London)

Knight, R. A. (2008). Optimisation methods for staff scheduling and rostering: an employee-friendly approach. (Unpublished Doctoral thesis, City University London)

Kyriakou, I. (2010). Efficient valuation of exotic derivatives with path-dependence and early exercise features. (Unpublished Doctoral thesis, City University London)

Long, Robert James (1997). A structural analysis of Lloyd's of London. (Unpublished Doctoral thesis, City, University of London)

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

Nurullah, Mohamed (2000). Interface of insurance and banking in European countries. (Unpublished Doctoral thesis, City University, London)

Pesenti, S. M. (2018). Robustness and sensitivity of risk evaluations. (Unpublished Doctoral thesis, Cass Business School, City, University of London)

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

Thuring, Fredrik (2012). Multivariate credibility with application to cross-selling financial services products. (Unpublished Doctoral thesis, City University London)

Villegas Ramirez, Andres (2015). Mortality: modelling, socio-economic differences and basis risk. (Unpublished Doctoral thesis, City University London)

Zhao, Shouqi (2014). Dependent Risk Modelling and Ruin Probability: Numerical Computation and Applications. (Unpublished Doctoral thesis, City University London)

Report

Ashby, S., Bryce, C. ORCID: 0000-0002-9856-7851 and Ring, P. (2018). Risk and the Strategic Role of Leadership. London, UK: ACCA.

Bacinello, A.R., Olivieri, A., Millossovich, P. and Pitacco, E. (2010). Variable Annuities: Risk Identification and Risk Assessment (CAREFIN Research Paper No. 14/2010). Milan, Italy: BAFFI CAREFIN, Bocconi University.

Blake, D. (2016). Independent Review of Retirement Income Report: We Need a National Narrative: Building a Consensus around Retirement Income. UK: Independent Review of Retirement Income.

Cannon, E. (2016). Independent Review of Retirement Income: Consultation. UK: Independent Review of Retirement Income.

Jarzabkowski, P., Bednarek, G., Burke, G. and Cabantous, L. (2012). Beyond Borders: Charting the Changing Global Reinsurance Landscape. Cass Business School, City University London.

Jarzabkowski, P., Smets, M. and Spee, A. P. (2010). Trading risks: The value of relationships, models and face-to-face interaction in the global reinsurance market. Aston University.

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

Mayhew, L. (2018). The Dependency Trap - are we fit enough to face the future?. London: Centre for the Study of Financial Innovation (CSFI).

Mayhew, L. (2000). Health and Elderly Care Expenditure in an Aging World (RR-00-21). International Institute for Applied Systems Analysis (IIASA).

Mayhew, L. (2001). Japan's Longevity Revolution and the Implications for Health Care Finance and Long-term Care (Interim Report) (IR-01-010/February). International Institute for Applied Systems Analysis (IIASA).

Mayhew, L. ORCID: 0000-0002-0380-1757 (2019). The Last-Time Buyer: housing and finance for an ageing society (130). London, UK: CSFI.

Mayhew, L. and Carney, J.E. (2003). Evaluating a New Approach for Improving Care in an Accident and Emergency Department: The New Care Project. Cass Business School, City University London.

Mayhew, L. and O'Leary, D. (2014). Unlocking the potential. UK: Demos.

Mayhew, L., Richardson, J. and Rickayzen, B. D. (2009). A study into the detrimental effects of obesity on life in the UK. Institute and Faculty of Actuaries.

Mayhew, L. and Smith, D. (2014). The UK Equity Bank - Towards income security in old age. The International Longevity Centre - UK (ILC-UK).

Mayhew, L. and Smith, D. (2015). A jam-jar model of life expectancy and limits to life. International Longevity Centre - UK (ILC-UK).

Mayhew, L., Smith, D. and Wright, I. D. (2015). Pension pots and how to survive them. London: International Longevity Centre (ILC-UK).

Millossovich, P., Haberman, S., Kaishev, V. K., Baxter, S., Gaches, A., Gunnlaugsson, S. and Sison, M. (2014). Longevity Basis Risk A methodology for assessing basis risk. Institute and Faculty of Actuaries (IFA) , Life and Longevity Markets Association (LLMA).

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

Other

Dimitrova, D. S., Kaishev, V. K. and Haberman, S. (2014). Research Excellence Framework (REF).