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Didier Nibbering
Didier Nibbering
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Citado por
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Año
Forecasting using random subspace methods
T Boot, D Nibbering
Journal of Econometrics 209 (2), 391-406, 2019
332019
Fast variational Bayes methods for multinomial probit models
R Loaiza-Maya, D Nibbering
Journal of Business & Economic Statistics 41 (4), 1352-1363, 2023
10*2023
Scalable Bayesian estimation in the multinomial probit model
R Loaiza-Maya, D Nibbering
Journal of Business & Economic Statistics 40 (4), 1678-1690, 2022
102022
What do professional forecasters actually predict?
D Nibbering, R Paap, M van der Wel
International Journal of Forecasting 34 (2), 288-311, 2018
92018
Bayesian forecasting in economics and finance: A modern review
GM Martin, DT Frazier, W Maneesoonthorn, R Loaiza-Maya, F Huber, ...
International Journal of Forecasting 40 (2), 811-839, 2024
82024
Multiclass-penalized logistic regression
D Nibbering, TJ Hastie
Computational Statistics & Data Analysis 169, 107414, 2022
72022
Subspace methods
T Boot, D Nibbering
Macroeconomic Forecasting in the Era of Big Data: Theory and Practice, 267-291, 2020
42020
Clustered local average treatment effects: fields of study and academic student progress
D Nibbering, M Oosterveen, PL Silva
IZA Discussion Paper, 2022
22022
A high-dimensional multinomial choice model
D Nibbering
Monash Econometrics and Business Statistics Working Papers, 2019
22019
Inference in high-dimensional linear regression models
T Boot, D Nibbering
Tinbergen Institute Discussion Paper 2017-032/III, 2017
22017
Random Subspace Local Projections
VH Dinh, D Nibbering, B Wong
arXiv preprint arXiv:2406.01002, 2024
12024
Bayesian Forecasting in the 21st Century: A Modern Review
GM Martin, DT Frazier, R Loaiza-Maya, F Huber, G Koop, J Maheu, ...
arXiv preprint arXiv:2212.03471, 2022
12022
A high-dimensional multinomial choice model with an application to holiday destinations
D Nibbering
Working paper, 2017
12017
A Bayesian infinite hidden Markov vector autoregressive model
D Nibbering, R Paap, M van der Wel
Tinbergen Institute Discussion Paper 16-107/III, 2017
12017
Confidence Intervals in High-Dimensional Regression Based on Regularized Pseudoinverses
T Boot, D Nibbering
Tinbergen Institute Discussion Paper, 2017
12017
Random Subspace Local Projections
V Hoang Dinh, D Nibbering, B Wong
arXiv e-prints, arXiv: 2406.01002, 2024
2024
Forecasting carbon emissions using asymmetric grouping
D Nibbering, R Paap
Journal of Forecasting, 2024
2024
A high‐dimensional multinomial logit model
D Nibbering
Journal of Applied Econometrics 39 (3), 481-497, 2024
2024
Hybrid unadjusted Langevin methods for high-dimensional latent variable models
R Loaiza-Maya, D Nibbering, D Zhu
Journal of Econometrics 241 (2), 105741, 2024
2024
Inference on LATEs with covariates
T Boot, D Nibbering
arXiv preprint arXiv:2402.12607, 2024
2024
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Artículos 1–20