Bayesian statistics ;Biostatistics ;Bayesian smoothing with P-splines
Bayesian density estimation ;(Cure-) survival models
Computational statistics ; MCMC in practice
Bayesian inference in dynamic models ; Dependence modelling and copulas
Recent papers
Time-varying exogenous covariates with frequently changing values in double additive cure survival model: an application to fertility. Journal of the Royal Statistical Society: Series A(2025).doi:10.1093/jrsssa/qnaf035 - R-package tvcure
Flexible joint model for time-to-event and non-Gaussian longitudinal outcomes.Statistical Methods in Medical Research, 33(10): 1783-1799, 2024.doi:10.1177/096228022412690
Penalty parameter selection and asymmetry corrections to Laplace approximations in Bayesian P-splines models. Statistical Modelling, 23(5-6): 409-423. 2023. doi:10.1177/1471082X231181173- R-package ordgam
Comments on: Nonparametric estimation in mixture cure models with covariates. Test, 32: 506-509, 2023. doi:10.1007/s11749-023-00860-3
Second birth fertility in Germany: social class, gender, and the role of economic uncertainty. European Journal of Population 39:5, 2023.
Nonparametric density estimation and risk quantification from tabulated sample moments. Insurance: Mathematics and Economics, 108: 177-189, 2023 - R-package degross
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, 2021 - R-package DALSM
Laplace approximation for fast Bayesian inference in generalized additive models based on P-splines. Computational Statistics and Data Analysis, 154: 107088, 2021 - R-package blapsr
Inclusion of time-varying covariates in cure survival models with an application in fertility studies. Journal of the Royal Statistical Society: Series A, 183(1): 333-354, 2020.
Estimation and identification issues in the promotion time cure model when the same covariates influence long- and short-term survival. Biometrical Journal, 61(2): 275-279, 2019.
Nonparametric double additive cure survival models: an application to the estimation of the nonlinear effect of age at first parenthood on fertility progression. Statistical Modelling, 19(2): 1-28, 2019.
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, 2018.
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, 2016.
Fertility progression in Germany: An analysis using flexible nonparametric cure survival models. Demographic Research, 35: 505-534, 2016.
Semiparametric frailty model for clustered interval-censored data. Statistical Modelling, 16(5): 360-391, 2016.
A Bayesian approach to the semi-parametric estimation of a minimum inhibitory concentration distribution. Annals of Applied Statistics, 10: 906-924, 2016.
Flexible estimation in cure survival models using Bayesian P-splines. Computational Statistics and Data Analysis, 93: 270-284, 2016.
