| Forecasting using random subspace methods T Boot, D Nibbering Journal of Econometrics 209 (2), 391-406, 2019 | 29 | 2019 |
| Fast variational Bayes methods for multinomial probit models R Loaiza-Maya, D Nibbering Journal of Business & Economic Statistics 41 (4), 1352-1363, 2023 | 9* | 2023 |
| Scalable Bayesian estimation in the multinomial probit model R Loaiza-Maya, D Nibbering Journal of Business & Economic Statistics 40 (4), 1678-1690, 2022 | 9 | 2022 |
| What do professional forecasters actually predict? D Nibbering, R Paap, M van der Wel International Journal of Forecasting 34 (2), 288-311, 2018 | 8 | 2018 |
| Multiclass-penalized logistic regression D Nibbering, TJ Hastie Computational Statistics & Data Analysis 169, 107414, 2022 | 7 | 2022 |
| Subspace methods T Boot, D Nibbering Macroeconomic Forecasting in the Era of Big Data: Theory and Practice, 267-291, 2020 | 4 | 2020 |
| Bayesian forecasting in economics and finance: a modern review GM Martin, DT Frazier, W Maneesoonthorn, R Loaiza-Maya, F Huber, ... International Journal of Forecasting, 2023 | 3 | 2023 |
| Clustered local average treatment effects: fields of study and academic student progress D Nibbering, M Oosterveen, PL Silva Available at SSRN 4058313, 2022 | 2 | 2022 |
| A high-dimensional multinomial choice model D Nibbering Monash Econometrics and Business Statistics Working Papers, 2019 | 2 | 2019 |
| Inference in high-dimensional linear regression models T Boot, D Nibbering Tinbergen Institute Discussion Paper 2017-032/III, 2017 | 2 | 2017 |
| Random Subspace Local Projections VH Dinh, D Nibbering, B Wong CAMA Working Paper 34/2023, 2023 | 1 | 2023 |
| A high-dimensional multinomial choice model with an application to holiday destinations D Nibbering Working paper, 2017 | 1 | 2017 |
| A Bayesian infinite hidden Markov vector autoregressive model D Nibbering, R Paap, M van der Wel Tinbergen Institute Discussion Paper 16-107/III, 2017 | 1 | 2017 |
| Confidence Intervals in High-Dimensional Regression Based on Regularized Pseudoinverses T Boot, D Nibbering Tinbergen Institute Discussion Paper, 2017 | 1 | 2017 |
| Forecasting carbon emissions using asymmetric grouping D Nibbering, R Paap Journal of Forecasting, 2024 | | 2024 |
| Inference on LATEs with covariates T Boot, D Nibbering arXiv preprint arXiv:2402.12607, 2024 | | 2024 |
| A high‐dimensional multinomial logit model D Nibbering Journal of Applied Econometrics, 2023 | | 2023 |
| Hybrid unadjusted Langevin methods for high-dimensional latent variable models R Loaiza-Maya, D Nibbering, D Zhu arXiv preprint arXiv:2306.14445, 2023 | | 2023 |
| Instrument-based estimation of full treatment effects with movers D Nibbering, M Oosterveen arXiv preprint arXiv:2306.07018, 2023 | | 2023 |
| Efficient variational approximations for state space models D Nibbering arXiv. org Papers, 2023 | | 2023 |
