Laverny, O and Lambert, P. (2024). Local moment matching with Erlang mixtures under automatic roughness penalization. arXiv:2402.15866. Submitted.
Lambert, P.and Kreyenfeld, M. (2023). Exogenous time-varying covariates in double additive cure survival model with application to fertility. arXiv:2302.00331. Submitted.
Lambert, P. and Gressani, O. (2022). Penalty parameter selection and asymmetry corrections to Laplace approximations in Bayesian P-splines models. arXiv:2210.01668- R-package ordgam . Revised version published in 2023 in Statistical Modelling.
Kreyenfeld, M., Konietzkan D., Lambert P. and Ramos, V.J. (2022). Second birth fertility in Germany: social class, gender, and the role of economic uncertainty. LIDAM Discussion Paper ISBA 2022/23, UCLouvain, Belgium. Revised version published in 2023 inEuropean Journal of Population.
Lambert, P. (2021). Moment-based density and risk estimation from grouped summary statistics. arXiv:2107.03883 -R-package degross . Revised version published in 2023 in Insurance: Mathematics and Economics.
Lambert, P. (2020). Fast Bayesian inference in nonparametric double additive location-scale models with right- and interval-censored data. arXiv:2005.05156- R-package DALSM . Revised version published in 2021 in Computational Statistics and Data Analysis.
Gressani,O. and Lambert, P. (2020). Laplace approximation for fast Bayesian inference in generalized additive models based on penalized regression splines. arXiv:2003.07214. Revised version published in 2021 inComputational Statistics and Data Analysis.
Lambert, P. and Bremhorst, V. (2017). Estimation and identification issues in the promotion time cure model when the same covariates enter the cure probability and time-to-event model components. Discussion Paper 2017/26. Institut de Statistique, Université catholique de Louvain, Louvain-la-Neuve, Belgium. Revised version published in 2019 in Biometrical Journal. doi.org/10.1002/bimj.201700250
Bremhorst, V. and Lambert P. (2017).Inclusion of time-varying covariates in cure survival models with an application in fertility studies. Discussion Paper 2017-13. Institut de Statistique, Université catholique de Louvain, Louvain-la-Neuve, Belgium. Revised version published in 2020 in JRSS-A.
Bremhorst, V., Kreyenfeld M. and Lambert P. (2017). Nonparametric double additive cure survival models: an application to the estimation of the nonlinear effect of age at first parenthood on fertility progression. Discussion Paper 2017-04. Institut de Statistique, Université catholique de Louvain, Louvain-la-Neuve, Belgium. Revised version published in 2019 inStatistical Modelling.
Gressani, O. and Lambert P. (2016). Fast Bayesian inference in semi-parametric P-spline cure survival models using Laplace approximations. Discussion Paper 2016-41. Institut de Statistique, Université catholique de Louvain, Louvain-la-Neuve, Belgium. Revised version published in Computational Statistics and Data Analysis.
Taverne, C. and Lambert, P. (2014). Inflated discrete Beta regression models for Likert and discrete rating scale outcomes. arXiv:1405.4637.
Frasso, G., Jaeger, J and Lambert, P. (2013). Estimation and approximation in multidimensional dynamics. ArXiv:1311.5727.
Jaeger, J. and Lambert, P. (2012). On the use of adhesion parameters to validate models specified using systems of affine differential equations. Discussion Paper 2012-18. Institut de Statistique, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Jaeger, J. and Lambert, P. (2011). Bayesian generalized profiling estimation in hierarchical linear dynamic systems. Technical Report TR11001, Interuniversity Attraction Pole, Phase VI (2007-2011), Belgium.
Jullion, A., Lambert, P. (2008). Extensions of Bayesian P-splines models for fitting PK curves. Discussion Paper 08-19, Institut de Statistique, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Jullion, A., Lambert, P. and F. Vandenhende (2008). Estimation of receptor occupancy using varying coefficient models. Discussion Paper 08-17, Institut de Statistique, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Jullion, A., Lambert, P., and F. Vandenhende (2007). A non-parametric Bayesian method to smooth Time-Activity-Curves. Discussion Paper 07-15, Institut de Statistique, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Lambert, P. and Eilers, P.H.C (2006). Bayesian multi-dimensional density estimation with P-splines. Discussion Paper 06-12, Institut de Statistique, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Bugli, C., Lambert, P. and Bigot, J. (2005). Curve registration using fractional polynomials: an application to electroencephalograms analysis. Discussion Paper 05-13, Institut de Statistique, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Bolance, C., Denuit, M., Guillen, M. and Lambert, P. (2004). Bayesian experience rating with dynamic heterogeneity. Discussion Paper 04-10, Institut des sciences actuarielles, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Bugli, C., Lambert, P., Boulanger B., Ledent E., Pereira, A. and Nardone, P. (2004). Statistical analysis of electroencephalograms: independent component analysis of event-related potentials. Discussion Paper 04-03, Institut de Statistique, Université catholique de Louvain, Louvain-la-Neuve, Belgium..
Lambert, P. and Laurent, S. (2001). Modelling financial time series using GARCH-type models with a skewed Student distribution for the innovations. Discussion Paper 01-25, Institut de Statistique, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Lambert, P. and Laurent, S. (2001). Modelling skewness dynamics in series of financial data using skewed location-scale distributions. Discussion Paper 01-19, Institut de Statistique, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Tajar, A., Denuit, M. and Lambert, P. (2001). Copula-type representation for random couples with Bernoulli margins. Discussion Paper 01-18 , Institut de Statistique, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
Vandenhende, F. and Lambert, P. (2000). Modeling repeated ordered categorical data using copulas. Discussion Paper 00-25, Institut de Statistique, Université catholique de Louvain, Louvain-la-Neuve, Belgium.