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Julien Tomas
Julien Tomas
Institut de Science Financière et d’Assurance - Université Claude Bernard Lyon 1
Dirección de correo verificada de univ-lyon1.fr
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Multidimensional smoothing by adaptive local kernel-weighted log-likelihood: Application to long-term care insurance
J Tomas, F Planchet
Insurance: Mathematics and Economics 52 (3), 573-589, 2013
322013
Constructing entity specific projected mortality table: adjustment to a reference
J Tomas, F Planchet, ISFA, Laboratoire SAF
European Actuarial Journal 4, 247-279, 2014
222014
Uncertainty on survival probabilities and solvency capital requirement: application to long-term care insurance
F Planchet, J Tomas
Scandinavian Actuarial Journal 2016 (4), 279-292, 2016
182016
Prospective mortality tables: taking heterogeneity into account
J Tomas, F Planchet
Insurance: Mathematics and Economics 63, 169-190, 2015
162015
A credibility approach of the Makeham mortality law
Y Salhi, PE Thérond, J Tomas
European Actuarial Journal 6, 61-96, 2016
142016
A local likelihood approach to univariate graduation of mortality
J Tomas
Bulletin Français d’Actuariat 11 (22), 105-153, 2011
132011
Critères de Validation: Aspects Méthodologiques
J TOMAS, F PLANCHET
11*
Construction et validation des références de mortalité de place
J Tomas, F Planchet
Note de travail II1291-11 v1 4, 2013
102013
Prospective mortality tables and portfolio experience
J Tomas, F Planchet
Chapter, 2014
92014
Univariate graduation of mortality by local polynomial regression
J Tomas
Bulletin Francais d'Actuariat 12, 2012
82012
Construction et validation des références de mortalité de place
F Planchet, J Tomas
Institut des Actuaires, Note de travail, II (1291-11, v1. 4), 2014
62014
Méthodes de positionnement: Aspects méthodologiques
F Planchet, J Tomas
Note de travail de l’Institut des Actuaires II1291-15 v1 7, 2014
62014
Méthodes de positionnement: aspects méthodologiques
J Tomas, F Planchet
Institut des, 2013
62013
Quantifying biometric life insurance risks with non-parametric methods
J Tomas
Diss. Ph. D. thesis, Amsterdam School of Economics Research Institute, 2013
42013
Quantifying biometric life insurance risks with non-parametric smoothing methods
J Tomas
Universiteit van Amsterdam, 2013
32013
Essays on boundaries effects and practical considerations for univariate graduation of mortality by local likelihood models
J Tomas
Assurances et gestion des risques 80 (2), 203-261, 2012
32012
Mortality by Cause Of Death and Forecasts by Compositional Time Series
S Piveteau, J Tomas
Parallel Sessions, 17, 2018
12018
MODELES LINeaires & GLMS ANALYSE LOGIT & Regression DE POISSON ANALYSE D’UN PORTEFEUILLE D’ASSURANCE ALGORITHME IRWLS AVEC R
J TOMAS
ISFA, 2014
12014
Package ‘ELT’
J Tomas, F Planchet, W Youssef, MW Youssef
2016
SOURCE (OR PART OF THE FOLLOWING SOURCE): Type PhD thesis Title Quantifying biometric life insurance risks with non-parametric smoothing methods
J Tomas
2013
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Artículos 1–20