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Måns Magnusson
Måns Magnusson
Department of Statistics, Uppsala University, Sweden
Verifierad e-postadress på statistik.uu.se - Startsida
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loo: Efficient leave-one-out cross-validation and WAIC for Bayesian models
A Vehtari, J Gabry, M Magnusson, Y Yao, PC Bürkner, T Paananen, ...
CRAN: Contributed Packages, 2015
925*2015
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
2652017
Uncertainty in Bayesian leave-one-out cross-validation based model comparison
T Sivula, M Magnusson, AA Matamoros, A Vehtari
arXiv preprint arXiv:2008.10296, 2020
1242020
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
952017
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
722013
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
582020
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
422019
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
392020
DOLDA-a regularized supervised topic model for high-dimensional multi-class regression
M Magnusson, L Jonsson, M Villani
Computational Statistics, 2020
27*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
27*2018
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
272015
Interpretable Word Embeddings via Informative Priors
MH Bodell, M Arvidsson, M Magnusson
EMNLP, 2019
262019
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
262013
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
23*2025
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
232018
When are Bayesian model probabilities overconfident?
O Oelrich, S Ding, M Magnusson, A Vehtari, M Villani
arXiv preprint arXiv:2003.04026, 2020
222020
Voices from the far right: a text analysis of Swedish parliamentary debates
M Magnusson, R Öhrvall, K Barrling, D Mimno
OSF, 2018
222018
Finding the news lead in the data haystack: Automated local data journalism using crime data
M Magnusson, J Finnäs, L Wallentin
Computation+ Journalism Symposium, 2016
202016
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
162023
Automatic localization of bugs to faulty components in large scale software systems using bayesian classification
L Jonsson, D Broman, M Magnusson, K Sandahl, M Villani, S Eldh
2016 IEEE International Conference on Software Quality, Reliability and …, 2016
162016
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Artiklar 1–20