| loo: efficient leave-one-out cross-validation and WAIC for Bayesian models A Vehtari, J Gabry, M Magnusson, Y Yao, P Bürkner, T Paananen, ... URL https://mc-stan. org/loo, 2024 | 1117* | 2024 |
| Pulling out the stops: Rethinking stopword removal for topic models A Schofield, M Magnusson, D Mimno Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 293 | 2017 |
| Uncertainty in Bayesian leave-one-out cross-validation based model comparison T Sivula, M Magnusson, AA Matamoros, A Vehtari Bayesian Analysis 1 (1), 1-31, 2025 | 175 | 2025 |
| Understanding text pre-processing for latent Dirichlet allocation A Schofield, M Magnusson, L Thompson, D Mimno Proceedings of the 15th conference of the European chapter of the …, 2017 | 108 | 2017 |
| Risk of pancreatic cancer among individuals with hepatitis C or hepatitis B virus infection: a nationwide study in Sweden J Huang, M Magnusson, A Törner, W Ye, AS Duberg British journal of cancer 109 (11), 2917-2923, 2013 | 76 | 2013 |
| Leave-one-out cross-validation for Bayesian model comparison in large data M Magnusson, A Vehtari, J Jonasson, M Andersen International conference on artificial intelligence and statistics, 341-351, 2020 | 68 | 2020 |
| Bayesian Leave-One-Out Cross-Validation for Large Data M Magnusson, MR Andersen, J Jonasson, A Vehtari 36th International Conference on Machine Learning, 7505-7525, 2019 | 48 | 2019 |
| Robust, accurate stochastic optimization for variational inference AK Dhaka, A Catalina, MR Andersen, M Magnusson, J Huggins, A Vehtari Advances in Neural Information Processing Systems 33, 10961-10973, 2020 | 46 | 2020 |
| posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms M Magnusson, J Torgander, PC Bürkner, L Zhang, B Carpenter, A Vehtari The 28th International Conference on Artificial Intelligence and Statistics, 2025 | 38* | 2025 |
| DOLDA-a regularized supervised topic model for high-dimensional multi-class regression M Magnusson, L Jonsson, M Villani Computational Statistics, 2020 | 31* | 2020 |
| Sparse partially collapsed mcmc for parallel inference in topic models M Magnusson, L Jonsson, M Villani, D Broman Journal of Computational and Graphical Statistics 27 (2), 449-463, 2018 | 28* | 2018 |
| Interpretable Word Embeddings via Informative Priors MH Bodell, M Arvidsson, M Magnusson EMNLP, 2019 | 27 | 2019 |
| The incidence of acute gastrointestinal illness in Sweden FI Hansdotter, M Magnusson, S KüHlMANN-BereNzON, A Hulth, ... Scandinavian Journal of Public Health 43 (5), 540-547, 2015 | 27 | 2015 |
| Prevailing effectiveness of the 2009 influenza A (H1N1) pdm09 vaccine during the 2010/11 season in Sweden K Widgren, M Magnusson, P Hagstam, M Widerström, Å Örtqvist, ... Eurosurveillance 18 (15), 2013 | 27 | 2013 |
| When are Bayesian model probabilities overconfident? O Oelrich, S Ding, M Magnusson, A Vehtari, M Villani arXiv preprint arXiv:2003.04026, 2020 | 25 | 2020 |
| Polya urn latent Dirichlet allocation: a doubly sparse massively parallel sampler A Terenin, M Magnusson, L Jonsson, D Draper IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (7), 1709-1719, 2018 | 25 | 2018 |
| The cambridge law corpus: a dataset for legal AI research A Östling, H Sargeant, H Xie, L Bull, A Terenin, L Jonsson, M Magnusson, ... Advances in Neural Information Processing Systems 2023, 2023 | 23 | 2023 |
| From documents to data: A framework for total corpus quality M Hurtado Bodell, M Magnusson, S Mützel Socius 8, 23780231221135523, 2022 | 23 | 2022 |
| Voices from the far right: a text analysis of Swedish parliamentary debates M Magnusson, R Öhrvall, K Barrling, D Mimno SocArXiv. April 4, 2018 | 23 | 2018 |
| Unbiased estimator for the variance of the leave-one-out cross-validation estimator for a Bayesian normal model with fixed variance T Sivula, M Magnusson, A Vehtari Communications in Statistics-Theory and Methods 52 (16), 5877-5899, 2023 | 22 | 2023 |
Aki VehtariAcademy Professor, Aalto UniversityVerified email at aalto.fi
