City Research Online

Items where City Author is "Dimitrova, D."

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Number of items: 27.

Article

Zhang, Z., Chronopoulos, M. ORCID: 0000-0002-3858-2021, Dimitrova, D. S. ORCID: 0000-0003-3169-2735 & Kyriakou, I. ORCID: 0000-0001-9592-596X (2023). Risk assessment and optimal scheduling of serial projects. OR Spectrum, doi: 10.1007/s00291-023-00740-0

Dimitrova, D. S. ORCID: 0000-0003-3169-2735, Kaishev, V. K., Lattuada, A. & Verrall, R. J. ORCID: 0000-0003-4098-9792 (2023). Geometrically designed variable knot splines in generalized (non-)linear models. Applied Mathematics and Computation, 436, article number 127493. doi: 10.1016/j.amc.2022.127493

Dimitrova, D. S., Kaishev, V. K. & Tan, S. (2020). Computing the Kolmogorov-Smirnov Distribution when the Underlying cdf is Purely Discrete, Mixed or Continuous. Journal of Statistical Software, 95(10), pp. 1-42. doi: 10.18637/jss.v095.i10

Dimitrova, D. S. ORCID: 0000-0003-3169-2735, Ignatov, Z., Kaishev, V. K. & Tan, S. (2020). On Double-Boundary Non-Crossing Probability for a Class of Compound Processes with Applications. European Journal of Operational Research, 282(2), pp. 602-613. doi: 10.1016/j.ejor.2019.09.058

Dimitrova, D. S. ORCID: 0000-0003-3169-2735, Kaishev, V. K. & Ignatov, Z. G. (2018). Ruin and Deficit Under Claim Arrivals with the Order Statistics Property. Methodology and Computing in Applied Probability, doi: 10.1007/s11009-018-9669-5

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

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

Dimitrova, D. S., Kaishev, V. K. & Zhao, S. (2016). On the evaluation of finite-time ruin probabilities in a dependent risk model. Applied Mathematics and Computation, 275, pp. 268-286. doi: 10.1016/j.amc.2015.11.082

Dimitrova, D. S., Kaishev, V. K. & Zhao, S. (2015). Modeling Finite-Time Failure Probabilities in Risk Analysis Applications. Risk Analysis, 35(10), pp. 1919-1939. doi: 10.1111/risa.12384

Dimitrova, D. S., Kaishev, V. K. & Zhao, S. (2015). On finite-time ruin probabilities in a generalized dual risk model with dependence. European Journal of Operational Research, 242(1), pp. 134-148. doi: 10.1016/j.ejor.2014.10.007

Dimitrova, D. S., Haberman, S. & Kaishev, V. K. (2013). Dependent competing risks: Cause elimination and its impact on survival. Insurance: Mathematics and Economics, 53(2), pp. 464-477. doi: 10.1016/j.insmatheco.2013.07.008

Dimitrova, D. S. & Kaishev, V. K. (2010). Optimal joint survival reinsurance: An efficient frontier approach. INSURANCE MATHEMATICS & ECONOMICS, 47(1), pp. 27-35. doi: 10.1016/j.insmatheco.2010.03.006

Kaishev, V. K. & Dimitrova, D. S. (2009). Dirichlet Bridge Sampling for the Variance Gamma Process: Pricing Path-Dependent Options.. Management Science, 55(3), pp. 483-496. doi: 10.1287/mnsc.1080.0953

Dimitrova, D. S., Kaishev, V. K. & Penev, S. (2008). GeD spline estimation of multivariate Archimedean copulas. Computational Statistics & Data Analysis, 52(7), pp. 3570-3582. doi: 10.1016/j.csda.2007.11.010

Kaishev, V. K., Dimitrova, D. S. & Ignatov, Z. G. (2008). Operational risk and insurance: a ruin probabilistic reserving approach. JOURNAL OF OPERATIONAL RISK, 3(3), pp. 39-60. doi: 10.21314/jop.2008.047

Kaishev, V. K., Dimitrova, D. S. & Haberman, S. (2007). Modelling the joint distribution of competing risks survival times using copula functions. Insurance: Mathematics and Economics, 41(3), pp. 339-361. doi: 10.1016/j.insmatheco.2006.11.006

Kaishev, V. K. & Dimitrova, D. S. (2006). Excess of loss reinsurance under joint survival optimality. Insurance: Mathematics and Economics, 39(3), pp. 376-389. doi: 10.1016/j.insmatheco.2006.05.005

Conference or Workshop Item

Dimitrova, D. S., Ignatov, Z. G. & 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.

Other

Dimitrova, D. S., Kaishev, V. K. & Haberman, S. (2014). Improved estimation of mortality and life expectancy for each constituent country of the UK and beyond. Research Excellence Framework (REF).

Thesis

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

Working Paper

Dimitrova, D. S., Kaishev, V. K. & Penev, S. (2007). GeD spline estimation of multivariate Archimedean copulas (Actuarial Research Paper No. 179). 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 knot regression splines: variation diminish optimality of knots (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 (Statistical Research Paper No. 28). London, UK: Faculty of Actuarial Science & Insurance, City University London.

Kaishev, V. K. & Dimitrova, D. S. (2005). Excess of loss reinsurance under joint survival optimality (Actuarial Research Paper No. 165). London, UK: Faculty of Actuarial Science & Insurance, City University London.

Kaishev, V. K., Haberman, S. & Dimitrova, D. S. (2005). Modelling the joint distribution of competing risks survival times using copula functions (Actuarial Research Paper No. 164). 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 (Statistical Research Paper No. 24). London, UK: Faculty of Actuarial Science & Insurance, City University London.

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