| New frontiers in Bayesian modeling using the INLA package in R J Van Niekerk, H Bakka, H Rue, O Schenk arXiv preprint arXiv:1907.10426, 2019 | 63 | 2019 |
| A new avenue for Bayesian inference with INLA J Van Niekerk, E Krainski, D Rustand, H Rue Computational Statistics & Data Analysis 181, 107692, 2023 | 56 | 2023 |
| Competing risks joint models using R-INLA J Niekerk, H Bakka, H Rue Statistical Modelling 21 (1-2), 56-71, 2021 | 28 | 2021 |
| Parallelized integrated nested Laplace approximations for fast Bayesian inference L Gaedke-Merzhäuser, J van Niekerk, O Schenk, H Rue Statistics and Computing 33 (1), 25, 2023 | 24 | 2023 |
| Correcting the Laplace method with variational Bayes J Niekerk, H Rue arXiv preprint arXiv:2111.12945, 2021 | 21 | 2021 |
| A double generally weighted moving average exceedance control chart H Masoumi Karakani, SW Human, J Van Niekerk Quality and Reliability Engineering International 35 (1), 224-245, 2019 | 15 | 2019 |
| A principled distance-based prior for the shape of the Weibull model J Van Niekerk, H Bakka, H Rue Statistics & Probability Letters 174, 109098, 2021 | 14 | 2021 |
| Fast and flexible inference for joint models of multivariate longitudinal and survival data using integrated nested Laplace approximations D Rustand, J Van Niekerk, ET Krainski, H Rue, C Proust-Lima Biostatistics 25 (2), 429-448, 2024 | 13 | 2024 |
| Smart Gradient--An Adaptive Technique for Improving Gradient Estimation EA Fattah, J Van Niekerk, H Rue arXiv preprint arXiv:2106.07313, 2021 | 13 | 2021 |
| Joint models as latent gaussian models-not reinventing the wheel J Van Niekerk, H Bakka, H Rue arXiv preprint arXiv:1901.09365, 2019 | 13 | 2019 |
| Bayesian estimation of two‐part joint models for a longitudinal semicontinuous biomarker and a terminal event with INLA: Interests for cancer clinical trial evaluation D Rustand, J van Niekerk, H Rue, C Tournigand, V Rondeau, L Briollais Biometrical Journal 65 (4), 2100322, 2023 | 12 | 2023 |
| Fast and flexible inference approach for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations D Rustand, J Niekerk, ET Krainski, H Rue, C Proust-Lima arXiv, 2022 | 11 | 2022 |
| Joint posterior inference for latent Gaussian models with R-INLA C Chiuchiolo, J van Niekerk, H Rue Journal of Statistical Computation and Simulation 93 (5), 723-752, 2023 | 8 | 2023 |
| Subjective Bayesian analysis of the elliptical model J Van Niekerk, A Bekker, M Arashi, JJJ Roux Communications in Statistics-Theory and Methods 44 (17), 3738-3753, 2015 | 8 | 2015 |
| Beta regression in the presence of outliers–A wieldy Bayesian solution J Niekerk, A Bekker, M Arashi Statistical Methods in Medical Research 28 (12), 3729-3740, 2019 | 7 | 2019 |
| Bayesian survival analysis with INLA D Alvares, J Van Niekerk, ET Krainski, H Rue, D Rustand Statistics in Medicine 43 (20), 3975-4010, 2024 | 6 | 2024 |
| Low-rank variational Bayes correction to the Laplace method J van Niekerk, H Rue Journal of Machine Learning Research 25 (62), 1-25, 2024 | 6 | 2024 |
| Stable non-linear generalized Bayesian joint models for survival-longitudinal data J Van Niekerk, H Bakka, H Rue Sankhya A 85 (1), 102-128, 2023 | 6 | 2023 |
| An extended simplified Laplace strategy for approximate Bayesian inference of latent Gaussian models using R-INLA C Chiuchiolo, J van Niekerk, H Rue arXiv preprint arXiv:2203.14304, 2022 | 6 | 2022 |
| Skewed probit regression--Identifiability, contraction and reformulation J Van Niekerk, H Rue arXiv preprint arXiv:2009.09414, 2020 | 6 | 2020 |
