Publication profile
Publication profile
Martin Jullum
Name:
Martin Jullum
Title:
Seniorforsker / Senior Research Scientist
Phone:
(+47) 22852608 Mob: 47633245
Email:
Jullum [at] nr [dot] no
Scientific areas:
Statistical analysis and methodology, Machine learning, Model selection
Add to contacts (vCard) Show publications
Academic journal articles
2020
Jullum, Martin. Investigating mesh-based approximation methods for the normalization constant in the log Gaussian Cox process likelihood. Stat (ISSN 2049-1573). 9(1) doi: 10.1002/sta4.285. 2020.
Jullum, Martin; Thorarinsdottir, Thordis Linda; Bachl, Fabian E.. Estimating seal pup production in the Greenland Sea by using Bayesian hierarchical modelling. The Journal of the Royal Statistical Society, Series C (Applied Statistics) (ISSN 0035-9254). 69(2) doi: 10.1111/rssc.12397. 2020.
Jullum, Martin; Løland, Anders; Huseby, Ragnar Bang; Ånonsen, Geir; Lorentzen, Johannes P. Detecting money laundering transactions with machine learning. Journal of Money Laundering Control (ISSN 1368-5201). 23(1) pp 173-186. doi: 10.1108/JMLC-07-2019-0055. 2020. Full-text
Otneim, Håkon; Jullum, Martin; Tjøstheim, Dag Bjarne. Pairwise local Fisher and naive Bayes: Improving two standard discriminants. Journal of Econometrics (ISSN 0304-4076). 216(1) pp 284-304. doi: 10.1016/j.jeconom.2020.01.019. 2020.
Sellereite, Nikolai; Jullum, Martin. shapr: An R-package for explaining machine learning models with dependence-aware Shapley values. Journal of Open Source Software (JOSS) (ISSN 2475-9066). 5(46) doi: 10.21105/joss.02027. 2020.
2018
Jullum, Martin; Hjort, Nils Lid. What price semiparametric Cox regression? Lifetime Data Analysis (ISSN 1380-7870). 25(3) pp 406-438. doi: 10.1007/s10985-018-9450-7. 2018. Institutional archive
2017
Jullum, Martin; Hjort, Nils Lid. Parametric or nonparametric: The FIC approach. Statistica sinica (ISSN 1017-0405). 27(3) pp 951-981. doi: 10.5705/ss.202015.0364. 2017.
2016
Jullum, Martin; Kolbjørnsen, Odd. A Gaussian-based framework for local Bayesian inversion of geophysical data to rock properties. Geophysics (ISSN 0016-8033). 81(3) pp R75. doi: 10.1190/geo2015-0314.1. 2016.
Kolbjørnsen, Odd; Buland, Arild; Hauge, Ragnar; Røe, Per; Jullum, Martin; Metcalfe, Richard William; Skjæveland, Øyvind. Bayesian AVO inversion to rock properties using a local neighborhood in a spatial prior model. The Leading Edge (ISSN 1070-485X). 35(5) pp 431-436. doi: 10.1190/tle35050431.1. 2016.
2015
Jullum, Martin; Kolbjørnsen, Odd. A Gaussian-based framework for local Bayesian inversion of geophysical data to rock properties. Geophysics (ISSN 0016-8033). 81(3) pp R75. doi: 10.1190/GEO2015-0314.1. 2015.
Academic chapters
2015
Hermansen, Gudmund Horn; Hjort, Nils Lid; Jullum, Martin. Parametric or nonparametric: the FIC approach for stationary time series. In: Proceedings of the 60th World Statistics Congress of the International Statistical Institute, ISI2015. The International Statistical Institute. (ISBN 978-90-73592-35-3). pp 4827-4832. 2015. Full-text
2002
Redelmeier, Annabelle Alice; Jullum, Martin; Aas, Kjersti. Explaining Predictive Models with Mixed Features Using Shapley Values and Conditional Inference Trees. In: Lecture Notes in Computer Science. . (ISBN ). pp 117-137. doi: 10.1007/978-3-030-57321-8_7. 2002.
Abstracts at scientific conferences
2015
Jullum, Martin; Kolbjørnsen, Odd. An Approximate Bayesian Inversion Framework based on Local-Gaussian Likelihoods. EarthDoc. . doi: 10.3997/2214-4609.201413634. 2015. Review
Academic lectures
2020
Jullum, Martin. How to open the black box – individual prediction explanation. Seminar, Statistics seminar series at Department of Mathematical Sciences, NTNU; Trondheim, 09.03.2020.
2019
Jullum, Martin; Aas, Kjersti; Løland, Anders. How to open the black box -- Individual prediction explanation. Konferanse, Det 20. norske statistikermøtet; Stavanger, 18.06.2019 - 20.06.2019.
Jullum, Martin; Aas, Kjersti; Løland, Anders. Opening the black box -- individual prediction explanation. Konferanse, Big Insight Day 2020; Oslo, 14.11.2019.
2018
Jullum, Martin; Hjort, Nils Lid. Parametric or nonparametric, that’s the question. Konferanse, The FocuStat conference 2018, 22.05.2018 - 25.05.2018.
2017
Jullum, Martin. A focused model selection criterion for selecting among parametric and nonparametric models. Workshop, Building Bridges at Bislett, 22.05.2017 - 24.05.2017.
Jullum, Martin; Thorarinsdottir, Thordis Linda; Bachl, Fabian. Estimating the seal pup abundance in the Greenland Sea with Bayesian hierarchical modeling. Konferanse, Det 17. norske statistikermøtet; Fredrikstad, 12.06.2017 - 15.06.2017.
Thorarinsdottir, Thordis Linda; Jullum, Martin; Guttorp, Peter. Bayesian modelling of cluster point process models. Konferanse, Spatial Statistics 2017; Lancaster, 04.07.2017 - 07.07.2017.
2016
Jullum, Martin. FIC with a nonparametric candidate – a new strategy for FIC construction. Workshop, FICology; Oslo, 09.05.2016 - 11.05.2016.
Jullum, Martin; Thorarinsdottir, Thordis Linda; Bachl, Fabian. Estimating seal pup abundance with LGCP. Konferanse, Autumn Meeting on Latent Gaussian Models, 10.10.2016 - 11.10.2016.
2015
Jullum, Martin; Kolbjørnsen, Odd. An Approximate Bayesian Inversion Framework based on Local-gaussian Likelihoods. Konferanse, Petroleum Geostatistics; Biarritz, 07.09.2015 - 11.09.2015.
Jullum, Martin. Parametric of Nonparametric: The FIC Approach for Time Series. Konferanse, 18th Norwegian Statistical Meeting; Solstrand, Bergen, 16.06.2015 - 18.06.2015.
Jullum, Martin. An approximate Bayesian geophysical inversion framework based on local-Gaussian likelihoods. Workshop, Oslo Graduate School in Biostatistics Workshop; Klækken, Hønefoss, 29.05.2015 - 30.05.2015.
2014
Jullum, Martin; Hjort, Nils Lid. Parametric or Nonparametric: The Focused Information Criterion Approach. Konferanse, 2014 Joint Statistical Meetings; Boston, 02.08.2014 - 07.08.2014.
2013
Jullum, Martin; Hjort, Nils Lid. Parametric or Nonparametric: The FIC Approach. Konferanse, 17th Norwegian Statistical meeting; Halden, 11.06.2013 - 13.06.2013.
Jullum, Martin; Hjort, Nils Lid. Parametric or Nonparametric: The FIC Approach. Konferanse, 29-th European Meeting of Statisticians; Budapest, 20.07.2013 - 25.07.2103.
Jullum, Martin. Parametric or Nonparametric: The Focused Information Criterion Approach (+ Approximate Bayesian Inference). Seminar, SFI-lunsj; Norsk Regnesentral, Oslo, 20.10.2013.
Scientific lectures
2019
Jullum, Martin; Bolstad, Lars Erik. Mindre rutinearbeid med maskinlæring -- Automatisk deteksjon av hvitvasking. Konferanse, Make Data Smart Again; Oslo, 09.05.2019.
2018
Jullum, Martin. XGBoost - efficient tree boosting. Seminar, Big Insight lunch seminar, 31.01.2018.
Løland, Anders; Jullum, Martin; Huseby, Ragnar Bang. Detecting money laundering transactions – two stories. Konferanse, DNB Data Summit 2018; Oslo, 30.11.2018.
2016
Jullum, Martin. Empirical likelihood. Annet, Trial lecture, PhD, 01.04.2016.
Jullum, Martin. New focused approaches to topics within model selection and approximate Bayesian inversion. Annet, Disputas, 01.04.2016.
2013
Jullum, Martin. Approximate Bayesian Inference for Geophysical Inverse Problems. Workshop, Oslo Graduate School in Biostatistics Workshop; Hønefoss, 24.05.2013 - 25.05.2013.
Posters at scientific conferences
2021
Jullum, Martin. groupSHAP: Efficient Shapley value explanation through feature groups. Geilo Winter School; Online, 25.01.2021 - 29.03.2021.
Doctoral dissertations
2016
Jullum, Martin. New focused approaches to topics within model selection and approximate Bayesian inversion. Oslo: Faculty of Mathematics and Natural Sciences, University of Oslo . pp 185. 2016.
Reports
2019
Redelmeier, Annabelle Alice; Aas, Kjersti; Jullum, Martin; Løland, Anders. Shapley explanations using conditional inference trees. Norsk Regnesentral, . NR-notat SAMBA/18/19. pp 33. 2019.
2018
Jullum, Martin; Thorarinsdottir, Thordis Linda; Bachl, Fabian. Estimating seal pup production in the Greenland Sea using Bayesian hierarchical modeling. Norsk Regnesentral, . NR-notat SAMBA/04/18. pp 25. 2018. Full-text
Jullum, Martin; Løland, Anders; Huseby, Ragnar Bang; Ånonsen, Geir; Lorentzen, Johannes P. Detecting money laundering transactions -- which transactions should we learn from? Norsk Regnesentral, . NR-notat SAMBA/06/18. pp 22. 2018.
2017
Aas, Kjersti; Jullum, Martin; Neef, Linda Reiersølmoen. Maskinlæring for vurdering av forsikringsrisiko. Norsk Regnesentral, Oslo. NR-notat SAMBA/14/2017. pp 81. 2017.
Holden, Lars; Jullum, Martin; Sandve, Geir Kjetil. Statistical modeling of repertoire overlap in entire sampling spaces. Norsk Regnesentral, . NR-notat SAMBA/13/2017. pp 15. 2017. Full-text
2011
Jullum, Martin. Hypotesetesting av strekklengde for Seigmenn. Norsk Regnesentral, Oslo. NR-notat SAMBA/25/11. pp 28. 2011.
Jullum, Martin. Vindprognoser og strømpriser. Norsk Regnesentral, Oslo. NR-notat SAMBA/26/11. pp 21. 2011.
Popular scientific articles
2011
Storvik, Bård; Jullum, Martin. Strekker Laban seg litt lengre? Forskning.no (ISSN 1891-635X). 29.09.2011. Full-text
Website (informational material)
2015
Hjort, Nils Lid; Jullum, Martin. To liv: kvinnene i Lillestrøm som ble født på samme dag og døde på samme dag (FocuStat Blog Post). 2015.
Full-text
Hjort, Nils Lid; Jullum, Martin. To liv: kvinnene i Lillestrøm som ble født på samme dag og døde på samme dag. 2015.
Data
Media contributions
2015
Jullum, Martin; Banos, David Ruiz. Hvis man sjekker en billion kvinner, vil man finne fem slike par. 2015.
Aftenposten TV [TV] 22.10.2015. Full-text
Masters thesis
2012
Jullum, Martin. Focused information criteria for selecting among parametric and nonparametric models. 2012.
Review
| Name: | Martin Jullum |
| Title: | Seniorforsker / Senior Research Scientist |
| Phone: | (+47) 22852608 Mob: 47633245 |
| Email: | Jullum [at] nr [dot] no |
| Scientific areas: | Statistical analysis and methodology, Machine learning, Model selection |
| Add to contacts (vCard) |
| Show publications |
Academic journal articles
2020Jullum, Martin. Investigating mesh-based approximation methods for the normalization constant in the log Gaussian Cox process likelihood. Stat (ISSN 2049-1573). 9(1) doi: 10.1002/sta4.285. 2020.
Jullum, Martin; Thorarinsdottir, Thordis Linda; Bachl, Fabian E.. Estimating seal pup production in the Greenland Sea by using Bayesian hierarchical modelling. The Journal of the Royal Statistical Society, Series C (Applied Statistics) (ISSN 0035-9254). 69(2) doi: 10.1111/rssc.12397. 2020.
Jullum, Martin; Løland, Anders; Huseby, Ragnar Bang; Ånonsen, Geir; Lorentzen, Johannes P. Detecting money laundering transactions with machine learning. Journal of Money Laundering Control (ISSN 1368-5201). 23(1) pp 173-186. doi: 10.1108/JMLC-07-2019-0055. 2020. Full-text
Otneim, Håkon; Jullum, Martin; Tjøstheim, Dag Bjarne. Pairwise local Fisher and naive Bayes: Improving two standard discriminants. Journal of Econometrics (ISSN 0304-4076). 216(1) pp 284-304. doi: 10.1016/j.jeconom.2020.01.019. 2020.
Sellereite, Nikolai; Jullum, Martin. shapr: An R-package for explaining machine learning models with dependence-aware Shapley values. Journal of Open Source Software (JOSS) (ISSN 2475-9066). 5(46) doi: 10.21105/joss.02027. 2020.
2018Jullum, Martin; Hjort, Nils Lid. What price semiparametric Cox regression? Lifetime Data Analysis (ISSN 1380-7870). 25(3) pp 406-438. doi: 10.1007/s10985-018-9450-7. 2018. Institutional archive
2017Jullum, Martin; Hjort, Nils Lid. Parametric or nonparametric: The FIC approach. Statistica sinica (ISSN 1017-0405). 27(3) pp 951-981. doi: 10.5705/ss.202015.0364. 2017.
2016Jullum, Martin; Kolbjørnsen, Odd. A Gaussian-based framework for local Bayesian inversion of geophysical data to rock properties. Geophysics (ISSN 0016-8033). 81(3) pp R75. doi: 10.1190/geo2015-0314.1. 2016.
Kolbjørnsen, Odd; Buland, Arild; Hauge, Ragnar; Røe, Per; Jullum, Martin; Metcalfe, Richard William; Skjæveland, Øyvind. Bayesian AVO inversion to rock properties using a local neighborhood in a spatial prior model. The Leading Edge (ISSN 1070-485X). 35(5) pp 431-436. doi: 10.1190/tle35050431.1. 2016.
2015Jullum, Martin; Kolbjørnsen, Odd. A Gaussian-based framework for local Bayesian inversion of geophysical data to rock properties. Geophysics (ISSN 0016-8033). 81(3) pp R75. doi: 10.1190/GEO2015-0314.1. 2015.
Academic chapters
2015Hermansen, Gudmund Horn; Hjort, Nils Lid; Jullum, Martin. Parametric or nonparametric: the FIC approach for stationary time series. In: Proceedings of the 60th World Statistics Congress of the International Statistical Institute, ISI2015. The International Statistical Institute. (ISBN 978-90-73592-35-3). pp 4827-4832. 2015. Full-text
2002Redelmeier, Annabelle Alice; Jullum, Martin; Aas, Kjersti. Explaining Predictive Models with Mixed Features Using Shapley Values and Conditional Inference Trees. In: Lecture Notes in Computer Science. . (ISBN ). pp 117-137. doi: 10.1007/978-3-030-57321-8_7. 2002.
Abstracts at scientific conferences
2015Jullum, Martin; Kolbjørnsen, Odd. An Approximate Bayesian Inversion Framework based on Local-Gaussian Likelihoods. EarthDoc. . doi: 10.3997/2214-4609.201413634. 2015. Review
Academic lectures
2020Jullum, Martin. How to open the black box – individual prediction explanation. Seminar, Statistics seminar series at Department of Mathematical Sciences, NTNU; Trondheim, 09.03.2020.
2019Jullum, Martin; Aas, Kjersti; Løland, Anders. How to open the black box -- Individual prediction explanation. Konferanse, Det 20. norske statistikermøtet; Stavanger, 18.06.2019 - 20.06.2019.
Jullum, Martin; Aas, Kjersti; Løland, Anders. Opening the black box -- individual prediction explanation. Konferanse, Big Insight Day 2020; Oslo, 14.11.2019.
2018Jullum, Martin; Hjort, Nils Lid. Parametric or nonparametric, that’s the question. Konferanse, The FocuStat conference 2018, 22.05.2018 - 25.05.2018.
2017Jullum, Martin. A focused model selection criterion for selecting among parametric and nonparametric models. Workshop, Building Bridges at Bislett, 22.05.2017 - 24.05.2017.
Jullum, Martin; Thorarinsdottir, Thordis Linda; Bachl, Fabian. Estimating the seal pup abundance in the Greenland Sea with Bayesian hierarchical modeling. Konferanse, Det 17. norske statistikermøtet; Fredrikstad, 12.06.2017 - 15.06.2017.
Thorarinsdottir, Thordis Linda; Jullum, Martin; Guttorp, Peter. Bayesian modelling of cluster point process models. Konferanse, Spatial Statistics 2017; Lancaster, 04.07.2017 - 07.07.2017.
2016Jullum, Martin. FIC with a nonparametric candidate – a new strategy for FIC construction. Workshop, FICology; Oslo, 09.05.2016 - 11.05.2016.
Jullum, Martin; Thorarinsdottir, Thordis Linda; Bachl, Fabian. Estimating seal pup abundance with LGCP. Konferanse, Autumn Meeting on Latent Gaussian Models, 10.10.2016 - 11.10.2016.
2015Jullum, Martin; Kolbjørnsen, Odd. An Approximate Bayesian Inversion Framework based on Local-gaussian Likelihoods. Konferanse, Petroleum Geostatistics; Biarritz, 07.09.2015 - 11.09.2015.
Jullum, Martin. Parametric of Nonparametric: The FIC Approach for Time Series. Konferanse, 18th Norwegian Statistical Meeting; Solstrand, Bergen, 16.06.2015 - 18.06.2015.
Jullum, Martin. An approximate Bayesian geophysical inversion framework based on local-Gaussian likelihoods. Workshop, Oslo Graduate School in Biostatistics Workshop; Klækken, Hønefoss, 29.05.2015 - 30.05.2015.
2014Jullum, Martin; Hjort, Nils Lid. Parametric or Nonparametric: The Focused Information Criterion Approach. Konferanse, 2014 Joint Statistical Meetings; Boston, 02.08.2014 - 07.08.2014.
2013Jullum, Martin; Hjort, Nils Lid. Parametric or Nonparametric: The FIC Approach. Konferanse, 17th Norwegian Statistical meeting; Halden, 11.06.2013 - 13.06.2013.
Jullum, Martin; Hjort, Nils Lid. Parametric or Nonparametric: The FIC Approach. Konferanse, 29-th European Meeting of Statisticians; Budapest, 20.07.2013 - 25.07.2103.
Jullum, Martin. Parametric or Nonparametric: The Focused Information Criterion Approach (+ Approximate Bayesian Inference). Seminar, SFI-lunsj; Norsk Regnesentral, Oslo, 20.10.2013.
Scientific lectures
2019Jullum, Martin; Bolstad, Lars Erik. Mindre rutinearbeid med maskinlæring -- Automatisk deteksjon av hvitvasking. Konferanse, Make Data Smart Again; Oslo, 09.05.2019.
2018Jullum, Martin. XGBoost - efficient tree boosting. Seminar, Big Insight lunch seminar, 31.01.2018.
Løland, Anders; Jullum, Martin; Huseby, Ragnar Bang. Detecting money laundering transactions – two stories. Konferanse, DNB Data Summit 2018; Oslo, 30.11.2018.
2016Jullum, Martin. Empirical likelihood. Annet, Trial lecture, PhD, 01.04.2016.
Jullum, Martin. New focused approaches to topics within model selection and approximate Bayesian inversion. Annet, Disputas, 01.04.2016.
2013Jullum, Martin. Approximate Bayesian Inference for Geophysical Inverse Problems. Workshop, Oslo Graduate School in Biostatistics Workshop; Hønefoss, 24.05.2013 - 25.05.2013.
Posters at scientific conferences
2021Jullum, Martin. groupSHAP: Efficient Shapley value explanation through feature groups. Geilo Winter School; Online, 25.01.2021 - 29.03.2021.
Doctoral dissertations
2016Jullum, Martin. New focused approaches to topics within model selection and approximate Bayesian inversion. Oslo: Faculty of Mathematics and Natural Sciences, University of Oslo . pp 185. 2016.
Reports
2019Redelmeier, Annabelle Alice; Aas, Kjersti; Jullum, Martin; Løland, Anders. Shapley explanations using conditional inference trees. Norsk Regnesentral, . NR-notat SAMBA/18/19. pp 33. 2019.
2018Jullum, Martin; Thorarinsdottir, Thordis Linda; Bachl, Fabian. Estimating seal pup production in the Greenland Sea using Bayesian hierarchical modeling. Norsk Regnesentral, . NR-notat SAMBA/04/18. pp 25. 2018. Full-text
Jullum, Martin; Løland, Anders; Huseby, Ragnar Bang; Ånonsen, Geir; Lorentzen, Johannes P. Detecting money laundering transactions -- which transactions should we learn from? Norsk Regnesentral, . NR-notat SAMBA/06/18. pp 22. 2018.
2017Aas, Kjersti; Jullum, Martin; Neef, Linda Reiersølmoen. Maskinlæring for vurdering av forsikringsrisiko. Norsk Regnesentral, Oslo. NR-notat SAMBA/14/2017. pp 81. 2017.
Holden, Lars; Jullum, Martin; Sandve, Geir Kjetil. Statistical modeling of repertoire overlap in entire sampling spaces. Norsk Regnesentral, . NR-notat SAMBA/13/2017. pp 15. 2017. Full-text
2011Jullum, Martin. Hypotesetesting av strekklengde for Seigmenn. Norsk Regnesentral, Oslo. NR-notat SAMBA/25/11. pp 28. 2011.
Jullum, Martin. Vindprognoser og strømpriser. Norsk Regnesentral, Oslo. NR-notat SAMBA/26/11. pp 21. 2011.
Popular scientific articles
2011Storvik, Bård; Jullum, Martin. Strekker Laban seg litt lengre? Forskning.no (ISSN 1891-635X). 29.09.2011. Full-text
Website (informational material)
2015Hjort, Nils Lid; Jullum, Martin. To liv: kvinnene i Lillestrøm som ble født på samme dag og døde på samme dag (FocuStat Blog Post). 2015. Full-text
Hjort, Nils Lid; Jullum, Martin. To liv: kvinnene i Lillestrøm som ble født på samme dag og døde på samme dag. 2015. Data
Media contributions
2015Jullum, Martin; Banos, David Ruiz. Hvis man sjekker en billion kvinner, vil man finne fem slike par. 2015. Aftenposten TV [TV] 22.10.2015. Full-text
Masters thesis
2012Jullum, Martin. Focused information criteria for selecting among parametric and nonparametric models. 2012. Review
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