Publications and communications of Philippe Lambert

Book chapters or contributions to a collective book as author or co-author

Lambert, P., Perelman, S., Pestieau, P., & Schoenmaeckers, J. (2011). Health insurance coverage and adverse selection. In A. Börsch-Supan, M. Brandt, K. Hank, ... M. Schröder (Eds.), The Individual and the Welfare State: Life Histories in Europe (pp. 225-231). Berlin, Germany: Springer-Verlag.

Génicot, B., Peckova, M., Lambert, P., Lindsey, J., Close, R., & Lekeux, P. (1994). Evaluation of the performances of an aerosol delivery equipment suitable for calves under different conditions. In A. J. Yule & C. Dumouchel (Eds.), 6th International Conference on Liquid Atomization and Spray Systems (pp. 820-827). New York, United States: Begell House Inc. Publishers.

Articles accepted in reviewed journal

Lambert, P., & Gressani, O. (October 2023). Penalty parameter selection and asymmetry corrections to Laplace approximations in Bayesian P-splines models. Statistical Modelling, 23 (5-6), 409 - 423. doi:10.1177/1471082X231181173

Lambert, P. (June 2023). Comments on: Nonparametric estimation in mixture cure models with covariates. TEST, 32 (2), 506 - 509. doi:10.1007/s11749-023-00860-3

Kreyenfeld, M., Konietzka, D., Lambert, P., & Ramos, V. J. (02 March 2023). Second Birth Fertility in Germany: Social Class, Gender, and the Role of Economic Uncertainty. European Journal of Population, 39 (1), 5. doi:10.1007/s10680-023-09656-5

Lambert, P. (January 2023). Nonparametric density estimation and risk quantification from tabulated sample moments. Insurance: Mathematics and Economics, 108, 177-189. doi:10.1016/j.insmatheco.2022.12.004

Lambert, P. (September 2021). Fast Bayesian inference using Laplace approximations in nonparametric double additive location-scale models with right- and interval-censored data. Computational Statistics and Data Analysis, 161, 107250. doi:10.1016/j.csda.2021.107250

Gressani, O., & Lambert, P. (2021). Laplace approximations for fast Bayesian inference in generalized additive models based on P-splines. Computational Statistics and Data Analysis. doi:10.1016/j.csda.2020.107088

Iazzolino, A., Tourtit, Y., Chafaï, A., Gilet, T., Lambert, P., & Tadrist, L. (2020). Pick up and release of micro-objects: A motion-free method to change the conformity of a capillary contact. Soft Matter, 16 (3), 754-763. doi:10.1039/c9sm02093d

Lambert, P., & Bremhorst, V. (2020). Inclusion of time-varying covariates in cure survival models with an application in fertility studies. Journal of the Royal Statistical Society. Series A, Statistics in Society, 183, 333-354. doi:10.1111/rssa.12501

Bremhorst, V., Kreyenfeld, M., & Lambert, P. (2019). Nonparametric double additive cure survival models: An application to the estimation of the non-linear effect of age at first parenthood on fertility progression. Statistical Modelling, 19 (3), 248-275. doi:10.1177/1471082X18784685

Lambert, P., & Bremhorst, V. (2019). Estimation and identification issues in the promotion time cure model when the same covariates influence long- and short-term survival. Biometrical Journal, 61 (2), 275-289. doi:10.1002/bimj.201700250

Gressani, O., & Lambert, P. (2018). Fast Bayesian inference using Laplace approximations in a flexible promotion time cure model based on P-splines. Computational Statistics and Data Analysis, 124, 151-167. doi:10.1016/j.csda.2018.02.007

Bremhorst, V., Kreyenfeld, M., & Lambert, P. (2016). Fertility progression in Germany: an analysis using flexible nonparametric cure survival models. Demographic Research. doi:10.4054/DemRes.2016.35.18

Bremhorst, V., & Lambert, P. (2016). Flexible estimation in cure survival models using Bayesian P-splines. Computational Statistics and Data Analysis, 93, 270–284. doi:10.1016/j.csda.2014.05.009

Cetinyürek, A., & Lambert, P. (2016). Semi-parametric frailty model for clustered interval-censored data. Statistical Modelling, 16 (5), 360-391. doi:10.1177/1471082X16655631

Frasso, G., Jaeger, J., & Lambert, P. (2016). Inference in dynamic systems using B-splines and quasilinearized ODE penalties. Biometrical Journal, 58 (3), 691-714. doi:10.1002/bimj.201500082

Frasso, G., & Lambert, P. (2016). Bayesian inference in an extended SEIR model with nonparametric disease transmission rate: An application to the Ebola epidemic in Sierra Leone. Biostatistics, 17 (4), 779-792. doi:10.1093/biostatistics/kxw027

Jaspers, S., Lambert, P., & Aerts, M. (2016). A Bayesian approach to the semiparametric estimation of a minimum inhibitory concentration distribution. Annals of Applied Statistics, 10 (2), 906-924. doi:10.1214/16-AOAS918

Frasso, G., Jeager, J., & Lambert, P. (2015). Parameter estimation and inference in dynamic systems described by linear partial differential equations. AStA Advances in Statistical Analysis, 1-29. doi:10.1007/s10182-015-0257-5

Donneau, A.-F., Mauer, M., Lambert, P., Lesaffre, E., & Albert, A. (2015). Testing the proportional odds assumption in multiply imputed ordinal longitudinal data. Journal of Applied Statistics, 42 (10), 2257-2279. doi:10.1080/02664763.2015.1023704

Donneau, A.-F., Mauer, M., Lambert, P., Molenberghs, G., & Albert, A. (2015). Simulation-based study comparing multiple imputation methods for non-monotone missing ordinal data in longitudinal settings. Journal of Biopharmaceutical Statistics, 25 (03), 570-601. doi:10.1080/10543406.2014.920864

Rosas-Aguirre, A., Erhart, A., Llanos-Cuentas, A., Branch, O., Berkvens, D., Abatih, E., Lambert, P., Frasso, G., Rodriguez, H., Gamboa, D., Sihuincha, M., Rosanas-Urgell, A., D'Alessandro, U., & Speybroeck, N. (2015). Modelling the potential of focal screening and treatment as elimination strategy for Plasmodium falciparum malaria in the Peruvian Amazon Region. Parasites and Vectors, 8 (1), 261. doi:10.1186/s13071-015-0868-4

Jaeger, J., & Lambert, P. (June 2014). Bayesian penalized smoothing approaches in models specified using affine differential equations with unknown error distributions. Journal of Applied Statistics, 41 (12), 2709-2726. doi:10.1080/02664763.2014.927839

Lambert, P. (March 2014). Spline approximation to conditional Archimedean copula. Stat, 3 (1), 200-217. doi:10.1002/sta4.55

Jaeger, J., & Lambert, P. (February 2013). Bayesian P-spline estimation in hierarchical models specified by systems of affine differential equations. Statistical Modelling, 13, 3-40. doi:10.1177/1471082X12471371

Lambert, P. (2013). Nonparametric additive location-scale models for interval censored data. Statistics and Computing, 23, 75-90. doi:10.1007/s11222-011-9292-6

Lebrun, P., Boulanger, B., Debrus, B., Lambert, P., & Hubert, P. (2013). A Bayesian Design Space for analytical methods based on multivariate models and predictions. Journal of Biopharmaceutical Statistics, 23, 1330–1351. doi:10.1080/10543406.2013.834922

Lambert, P., Laurent, S., & Veredas, D. (2012). Testing conditional asymmetry: a residual-based approach. Journal of Economic Dynamics and Control, 36, 1229-1247. doi:10.1016/j.jedc.2012.03.009

Sanchez, X., Lambert, P., Jones, G., & Llewellynn, D. J. (2012). Efficacy of pre-ascent climbing route visual inspection in indoor sport climbing. Scandinavian Journal of Medicine and Science in Sports, 22, 67-72. doi:10.1111/j.1600-0838.2010.01151.x

Cetinyürek, A., & Lambert, P. (15 January 2011). Smooth estimation of survival functions and hazard ratios from interval-censored data using Bayesian penalized B-splines. Statistics in Medicine, 30 (1), 75-90. doi:10.1002/sim.4081

Lambert, P. (2011). Smooth semiparametric and nonparametric Bayesian estimation of bivariate densities from bivariate histogram data. Computational Statistics and Data Analysis, 55, 429-445. doi:10.1016/j.csda.2010.05.011

Lambert, P. (2011). Comments on: Inference in multivariate Archimedean copulas models. TEST, 20, 284-286. doi:10.1007/s11749-011-0256-0

Jullion, A., Lambert, P., Beck, B., & Vandenhende, F. (2009). Pharmacokinetic parameters estimation using adaptive Bayesian P-splines models. Pharmaceutical Statistics, 8, 98-112. doi:10.1002/pst.336

Lambert, P., & Eilers, P. H. C. (2009). Bayesian density estimation from grouped continuous data. Computational Statistics and Data Analysis, 53, 1388-1399. doi:10.1016/j.csda.2008.11.022

George, F., Daniaux, C., Genicot, G., Verhaege, B., Lambert, P., & Donnay, I. (2008). Set up of a serum-free culture system for bovine embryos: embryo development and quality before and after transient transfer. Theriogenology, 69, 612-623. doi:10.1016/j.theriogenology.2007.11.008

Lambert, P. (15 August 2007). Archimedean copula estimation using Bayesian splines smoothing techniques. Computational Statistics and Data Analysis, 51 (12), 6307-6320. doi:10.1016/j.csda.2007.01.018

Bolancé, C., Denuit, M., Guillén, M., & Lambert, P. (2007). Greatest accuracy credibility with dynamic heterogeneity: the Harvey-Fernandes model. Belgian Actuarial Bulletin, 7 (1), 14-18.

Bugli, C., & Lambert, P. (2007). Comparison between principal component analysis and independent component analysis in EEG modelling. Biometrical Journal, 49, 312-327. doi:10.1002/bimj.200510285

Jullion, A., & Lambert, P. (2007). Robust specification of the roughness penalty prior distribution in spatially adaptive Bayesian P-splines models. Computational Statistics and Data Analysis, 51, 2542-2558. doi:10.1016/j.csda.2006.09.027

Spinewine, A., Swine, C., Dhillon, S., Lambert, P., Nachega, J. B., Wilmotte, L., & Tulkens, P. M. (2007). Effect of a collaborative approach on the quality of prescribing for geriatric inpatients: a randomized controlled trial. Journal of the American Geriatrics Society, 55 (5), 658-665. doi:10.1111/j.1532-5415.2007.01132.x

Bugli, C., & Lambert, P. (2006). Functional ANOVA with random functional effects: an application to event-related potentials modelling for electroencephalograms analysis. Statistics in Medicine, 25, 3718-3739. doi:10.1002/sim.2464

Eyers, L., Smoot, J. C., Smoot, L. M., Bugli, C., Urakawa, H., McMurry, Z., Siripong, S., El Fantroussi, S., Lambert, P., Agathos, S. N., & Stahl, D. A. (2006). Discrimination of shifts in a soil microbial community assosciated with TNT-contamination using a functional ANOVA of 16S rRNA hybridized to oligonucleotide microarrays. Environmental Science and Technology, 40, 5867-5873. doi:10.1021/es0609093

Daubioul, C. A., Horsmans, Y., Lambert, P., Danse, E., & Delzenne, N. M. (2005). Effects of oligofructose on glucose and lipid metabolism in patients with nonalcoholic steatohepatitis : results of a pilot study. European Journal of Clinical Nutrition, 59, 723-726. doi:10.1038/sj.ejcn.1602127

Denuit, M., & Lambert, P. (2005). Constraints on concordance measures in bivariate discrete data. Journal of Multivariate Analysis, 93, 40-57. doi:10.1016/j.jmva.2004.01.004

Lambert, P., & Eilers, P. H. C. (2005). Bayesian proportional hazards model with time varying regression coefficients: a penalized Poisson regression approach. Statistics in Medicine, 24, 3977-3989. doi:10.1002/sim.2396

Vandenhende, F., & Lambert, P. (2005). Local dependence estimation using semi-parametric Archimedean copulas. Canadian Journal of Statistics, 33, 377-388. doi:10.1002/cjs.5540330305

Lambert, P., Collett, D., Kimber, A., & Johnson, R. (2004). Parametric accelerated failure time models with random effects and an application to kidney transplant survival. Statistics in Medicine, 23, 3177-3192. doi:10.1002/sim.1876

Cebrian, A., Denuit, M., & Lambert, P. (2003). Generalized Pareto fit to the Society of Actuaries large claims database. North American Actuarial Journal, 7, 18-36. doi:10.1080/10920277.2003.10596098

Cebrian, A., Denuit, M., & Lambert, P. (2003). Analysis of bivariate tail dependence using extreme values copulas: An application to the SOA medical large claims database. Belgian Actuarial Bulletin.

Vandenhende, F., & Lambert, P. (2003). Statistical models for the analysis of controlled trials on acute migraine. Pharmaceutical Statistics, 2, 199-210. doi:10.1002/pst.61

Vandenhende, F., & Lambert, P. (2003). Improved rank-based dependence measures for categorical data. Statistics and Probability Letters, 63, 157-163. doi:10.1016/S0167-7152(03)00063-4

Lambert, P. (2002). A mixture model to assess the effect of a hormonal stimulation on the development of follicles in prepubertal heifers. Journal of the Royal Statistical Society. Series C, Applied Statistics, 4, 405-420. doi:10.1111/1467-9876.00277

Lambert, P., & Vandenhende, F. (2002). A copula based model for multivariate non normal longitudinal data: analysis of a dose titration safety study on a new antidepressant. Statistics in Medicine, 21, 3197-3217. doi:10.1002/sim.1249

Vandenhende, F., & Lambert, P. (2002). On the joint analysis of longitudinal responses and early discontinuation in randomized trials. Journal of Biopharmaceutical Statistics, 12, 425-440. doi:10.1081/BIP-120016228

Denuit, M., & Lambert, P. (2001). Smoothed nonparametric maximum likelihood estimation of the risk distribution underlying bonus-malus systems. Proceedings of the Casualty Actuarial Society, LXXXVIII, 142-174.

Kaidi, S., Bernard, S., Lambert, P., Massip, A., & Donnay, I. (2001). Effect of conventional controlled-rate freezing and vitrification on quality of bovine blasotcysts produced in vitro. Biology of Reproduction, 65, 1127-1134. doi:10.1095/biolreprod65.4.1127

Kaidi, S., Donnay, I., Lambert, P., Dessy, F., & Massip, P. (2000). Osmotic behaviour of in vitro produced bovine blastocysts in cryoprotectant solutions as a potential predictive test of survival. Cryobiology, 41, 106-115. doi:10.1006/cryo.2000.2272

Lambert, P., & Lindsey, J. (1999). Analysing financial returns using regression models based on non-symmetric stable distributions. Journal of the Royal Statistical Society. Series C, Applied Statistics, 48, 409-424. doi:10.1111/1467-9876.00161

Votion, D., Vandenput, S., Duvivier, D. H., Lambert, P., Van Erck, E., Art, T., & Lekeux, P. (1999). Alveolar clearance in horses with chronic obstructive pulmonary disease. American Journal of Veterinary Research, 60, 495-500.

Lindsey, J., & Lambert, P. (1998). On the appropriateness of marginal models for repeated measurements in clinical trials. Statistics in Medicine, 17, 447-469. doi:10.1002/(SICI)1097-0258(19980228)17:4<447::AID-SIM752>3.0.CO;2-G

Votion, D., Vandenput, S., Duvivier, D. H., Lambert, P., Art, T., & Lekeux, P. (1998). Scintigraphical Evaluation of Alveolar Clearance in Horses. Veterinary Journal, 156 (1), 51-58. doi:10.1016/S1090-0233(98)80061-0

Lambert, P. (1997). Predictions in overdispersed series of counts using an approximate predictive likelihood. Journal of Forecasting, 16, 195-207. doi:10.1002/(SICI)1099-131X(199705)16:3<195::AID-FOR651>3.0.CO;2-0

Lambert, P. (1996). Modelling of repeated series of count data measured at unequally spaced times. Journal of the Royal Statistical Society. Series C, Applied Statistics, 45, 31-38. doi:10.2307/2986220

Lambert, P. (1996). Modelling of non-linear growth curves on series of correlated count data measured at unequally spaced times: a full likelihood based approach. Biometrics, 52, 50-55. doi:10.2307/2533143

Lambert, P. (1996). Modelling irregularly sampled profiles of nonnegative dog triglyceride responses under different distributional assumptions. Statistics in Medicine, 15, 1695-1708. doi:10.1002/(SICI)1097-0258(19960815)15:15<1695::AID-SIM320>3.0.CO;2-8

Genicot, B., Lambert, P., Votion, D., Close, R., Lindsey, J. K., & Lekeux, P. (1995). Ability of Bronchodilators to Prevent Bovine Experimental Respiratory Distress. Veterinary Research, 26 (4), 276-283.

Genicot, B., Lapp, K., Close, R., Lindsey, J. K., Lambert, P., & Lekeux, P. (1995). Physical Properties of Particles of Ipratropium and Clenbuterol Generated by Equipment Suitable for the Inhalation of Drugs by Calves. Research in Veterinary Science, 59 (2), 164-167. doi:10.1016/0034-5288(95)90053-5

Lindsey, J., & Lambert, P. (1995). Dynamic generalized linear models and repeated measurements. Journal of Statistical Planning and Inference, 47, 129-139. doi:10.1016/0378-3758(94)00126-G

Genicot, B., Peckova, M., Close, R., Lindsey, J. K., Lambert, P., & Lekeux, P. (1994). Technical Study of Some Major Parameters Influencing the Performances of an Aerosol Delivery Equipment Suitable for Calves. Veterinary Research, 25 (5), 468-77.

Genicot, B., Mouligneau, F., Lindsey, J. K., Lambert, P., Close, R., & Lekeux, P. (May 1993). Induction of a Serotonin-S2 Receptor Blockade During Early or Late Stage of Acute Respiratory Distress Syndrome in Double-Muscled Calves: A Comparative Study. Journal of Veterinary Medicine. A, Physiology, Pathology, Clinical Medicine, 40 (4), 241-248. doi:10.1111/j.1439-0442.1993.tb00624.x

Genicot, B., Mouligneau, F., Lindsey, J. K., Lambert, P., Close, R., & Lekeux, P. (April 1993). Efficiency of 5-Hydroxytryptamine Receptor Blockade as Therapeutic Measure During Acute Respiratory Distress Syndrome in Double-Muscled Cattle. Zentralblatt für Veterinarmedizin. Reihe A, 40 (3), 185-193. doi:10.1111/j.1439-0442.1993.tb00615.x

Articles accepted in conference proceedings

Frasso, G., Lambert, P., & Bonou, W. (2015). A Bayesian model for the Ebola epidemic in Sierra Leone. In H. Friedl & H. Wagner (Eds.), 30th International Workshop on Statistical Modelling, Linz, Austria, 2015, Proceedings.

Jullion, A., Lambert, P., & Vandenhende, F. (2009). Adaptive Bayesian P-splines to estimate varying regression coefficients: application to receptor occupancy estimation. In JSM Proceedings, Statistical Computing Section. Alexandria, VA: American Statistical Association (pp. 4556-4569).


Frasso, G., Jaeger, J., & Lambert, P. (2014). Estimation and approximation in nonlinear dynamic systems using quasilinearization. ORBi-University of Liège.

Taverne, C., & Lambert, P. (2014). Inflated discrete Beta regression models for Likert and discrete rating scale outcomes. ORBi-University of Liège.

Lambert, P. (2013). Spline approximation to conditional Archimedean copula. ORBi-University of Liège.