| Explaining individual predictions when features are dependent: More accurate approximations to Shapley values K Aas, M Jullum, A Løland arXiv preprint arXiv:1903.10464, 2019 | 50 | 2019 |
| A Gaussian-based framework for local Bayesian inversion of geophysical data to rock properties M Jullum, O Kolbjørnsen Geophysics 81 (3), R75-R87, 2016 | 31 | 2016 |
| Parametric or nonparametric: The FIC approach M Jullum, NL Hjort Statistica Sinica, 951-981, 2017 | 25 | 2017 |
| Bayesian AVO inversion to rock properties using a local neighborhood in a spatial prior model O Kolbj⊘ rnsen, A Buland, R Hauge, P R⊘ e, M Jullum, RW Metcalfe, ... The Leading Edge 35 (5), 431-436, 2016 | 15 | 2016 |
| What price semiparametric Cox regression? M Jullum, NL Hjort Lifetime data analysis 25 (3), 406-438, 2019 | 14 | 2019 |
| Detecting money laundering transactions with machine learning M Jullum, A Løland, RB Huseby, G Ånonsen, J Lorentzen Journal of Money Laundering Control, 2020 | 6 | 2020 |
| shapr: An R-package for explaining machine learning models with dependence-aware Shapley values N Sellereite, M Jullum Journal of Open Source Software 5 (46), 2027, 2020 | 4 | 2020 |
| Parametric or nonparametric: the FIC approach for stationary time series GH Hermansen, NL Hjort, M Jullum Proceedings of the 60th World Statistics Congress of the International …, 2015 | 2 | 2015 |
| Pairwise local Fisher and naive Bayes: Improving two standard discriminants H Otneim, M Jullum, D Tjøstheim Journal of Econometrics 216 (1), 284-304, 2020 | 1 | 2020 |
| Estimating seal pup production in the Greenland Sea by using Bayesian hierarchical modelling M Jullum, T Thorarinsdottir, FE Bachl Journal of the Royal Statistical Society: Series C (Applied Statistics) 69 …, 2020 | 1 | 2020 |
| New focused approaches to topics within model selection and approximate Bayesian inversion M Jullum PhD Thesis, University of Oslo, 2016 | 1 | 2016 |
| An approximate Bayesian inversion framework based on local-Gaussian likelihoods M Jullum, O Kolbjørnsen Petroleum Geostatistics 2015, cp-456-00050, 2015 | 1 | 2015 |
| Focused Information criteria for selecting among parametric and nonparametric models M Jullum Master Thesis, University of Oslo, Norway, 2012 | 1 | 2012 |
| Explaining predictive models using Shapley values and non-parametric vine copulas K Aas, T Nagler, M Jullum, A Løland arXiv preprint arXiv:2102.06416, 2021 | | 2021 |
| Explaining predictive models with mixed features using Shapley values and conditional inference trees A Redelmeier, M Jullum, K Aas International Cross-Domain Conference for Machine Learning and Knowledge …, 2020 | | 2020 |
| Investigating mesh‐based approximation methods for the normalization constant in the log Gaussian Cox process likelihood M Jullum Stat 9 (1), e285, 2020 | | 2020 |
| Estimating seal pup production in the Greenland M Jullum | | 2018 |
| Statistical modeling of repertoire overlap in entire sampling spaces L Holden, M Jullum, GK Sandve, L Holden, M Jullum, GK Sandve | | 2017 |
| Vindprognoser og strømpriser M Jullum NR-note, 21, 2011 | | 2011 |
| ESTIMATING SEAL PUP PRODUCTION IN THE GREENLAND SEA USING BAYESIAN HIERARCHICAL MODELING (ONLINE SUPPLEMENTARY MATERIAL) M JULLUM, T THORARINSDOTTIR, FE BACHL | | |
Nils Lid HjortProfessor of Mathematical Statistics, University of OsloGeverifieerd e-mailadres voor math.uio.no
