SCIENTIFIC PAPERS

BigInsight has Norges Forskningsråd project number 237718. Please use this number on papers and on Cristin.

2019

Engebretsen S, Engø-Monsen K, Frigessi A, Freiesleben de Blasio B. A theoretical single-parameter model for urbanisation to study infectious disease spread and interventions. PLoS Comput Biol 15(3): e1006879.
https://doi.org/10.1371/journal.pcbi.1006879. 2019

Liu, Qinghua; Crispino, Marta; Scheel, Ida; Vitelli, Valeria; Frigessi, Arnoldo. Model-Based Learning from Preference Data. Annual Review of Statistics and Its Application (ISSN 2326-8298). 6(1) pp 329-354. doi: https://doi.org/10.1146/annurev-statistics-031017-100213. 2019. 

Løland, Anders; Berset, Anders; Hobæk Haff, Ingrid. Er maskinlæring framtida i Skatteetaten? Praktisk økonomi & finans (ISSN 1501-0074). (3) pp 344-352. doi: /10.18261/issn.1504-2871-2017-03-06. 2017. Institutional archive 

2018

Engebretsen, Solveig; Frigessi, Arnoldo; Engø-Monsen, Kenth; Furberg, Anne-Sofie; Stubhaug, Audun; De Blasio, Birgitte Freiesleben; Nielsen, Christopher Sivert. The peer effect on pain tolerance. Scandinavian Journal of Pain (ISSN 1877-8860). doi: 10.1515/sjpain-2018-0060. 2018. Institutional archive 

Kvamme, Håvard; Sellereite, Nikolai; Aas, Kjersti; Sjursen, Steffen A. Søreide. Predicting mortgage default using convolutional neural networks. Expert systems with applications (ISSN 0957-4174). 102 pp 207-217. doi: 10.1016/j.eswa.2018.02.029. 2018.

LeBlanc, Marissa; Zuber, Verena; Thompson, Wesley Kurt; Andreassen, Ole Andreas; Frigessi Di Rattalma, Arnoldo; Kulle, Bettina. A correction for sample overlap in genome-wide association studies in a polygenic pleiotropy-informed framework. BMC Genomics (ISSN 1471-2164). 19:494 pp 1-15. doi: 10.1186/s12864-018-4859-7. 2018.

Lien, Tonje Gulbrandsen; Borgan, Ørnulf; Reppe, Sjur; Gautvik, Kaare M; Glad, Ingrid Kristine. Integrated analysis of DNA-methylation and gene expression using high-dimensional penalized regression: a cohort study on bone mineral density in postmenopausal women. BMC Medical Genomics (ISSN 1755-8794). 11(24) doi: 10.1186/s12920-018-0341-2. 2018.

Mannino, Carlo; Nakkerud, Andreas; Sartor, Giorgio; Schittekat, Patrick. Hotspot Resolution with Sliding Window Capacity Constraints using the Path&Cycle Algorithm. SESAR Innovation Days (ISSN 0770-1268). 2018. Institutional archive 

Sikorski, Krzysztof; Mehta, Adi; Inngjerdingen, Marit; Thakor, Flourina Kumar; Kling, Simon; Kalina, Tomas; Nyman, Tuula Anneli; Stensland, Maria; Zhou, Wei; De Souza, Gustavo Antonio; Holden, Lars; Stuchly, Jan; Templin, Markus; Lund-Johansen, Fridtjof. A high-throughput pipeline for validation of antibodies. Nature Methods (ISSN 1548-7091). 15(11) pp 909-912. doi: 10.1038/s41592-018-0179-8. 2018.

Vanem, Erik. Statistical methods for condition monitoring systems. International Journal of Condition Monitoring (ISSN 2047-6426). 8(1) pp 9-23. doi: https://doi.org/10.1784/204764218822441960. 2018. Full-text

Vanem, Erik; Brandsæter, Andreas. Cluster-Based Anomaly Detection in Condition Monitoring of a Marine Engine System. In: Proceedings of the 2018 Prognostics and System Health Management Conference (PHM-Chongqing 2018). (ISBN 978-1-5386-5380-7). pp 20-31. doi: 10.1109/PHM-Chongqing.2018.00011. 2018.

Vanem, Erik; Storvik, Geir Olve. Dynamical Linear Models for Condition Monitoring with Multivariate Sensor Data. International Journal of COMADEM (ISSN 1363-7681). 21(4) pp 7-18. 2018.

Vitelli, Valeria; Sørensen, Øystein; Crispino, Marta; Frigessi Di Rattalma, Arnoldo; Arjas, Elja. Probabilistic preference learning with the Mallows rank model. Journal of machine learning research (ISSN 1532-4435). 18 pp 1-49. 2018.

2017

Asfaw, Derbachew; Vitelli, Valeria; Sørensen, Øystein; Arjas, Elja; Frigessi, Arnoldo. Time-varying rankings with the Bayesian Mallows model. Stat (ISSN 2049-1573). 6(1) pp 14-30. doi: 10.1002/sta4.132. 2017. Institutional archive 

Belay, Denekew Bitew; Kifle, Yehenew Getachew; Goshu, Ayele Taye; Gran, Jon Michael; Yewhalaw, Delenasaw; Duchateau, Luc; Frigessi, Arnoldo. Joint Bayesian modelling of time to malaria and mosquito abundance in Ethiopia. BMC Infectious Diseases (ISSN 1471-2334). 17(1) doi: 10.1186/s12879-017-2496-4. 2017. Institutional archive  

Brandsæter, Andreas; Vanem, Erik; Glad, Ingrid Kristine. Cluster Based Anomaly Detection with Applications in the Maritime Industry. In: Proceedings of the 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control SDPC 2017. (ISBN 978-1-5090-4020-9). pp 328-333. doi: 10.1109/SDPC.2017.69. 2017.

Fleischer, Thomas; Tekpli, Xavier; Mathelier, Anthony; Wang, Shixiong; Nebdal, Daniel J.H.; Dhakal, Hari Prasad; Sahlberg, Kristine Kleivi; Schlichting, Ellen; Børresen-Dale, Anne-Lise; Borgen, Elin; Naume, Bjørn; Eskeland, Ragnhild; Frigessi, Arnoldo; Tost, Jörg; Rodriguez, Antoni Hurtado; Kristensen, Vessela N.. DNA methylation at enhancers identifies distinct breast cancer lineages. Nature Communications (ISSN 2041-1723). 8(1379) doi: 10.1038/s41467-017-00510-x. 2017. Institutional archive 

Holden, Marit; Holden, Lars; Olsen, Karina Standahl; Lund, Eiliv. Local In Time Statistics for detecting weak gene expression signals in blood - illustrated for prediction of metastases in breast cancer in the NOWAC Post-genome Cohort. Advances in Genomics and Genetics (ISSN 1179-9870). 7 pp 11-28. doi: 10.2147/AGG.S130004. 2017. Institutional archive Full-text

Løland, Anders; Berset, Anders; Hobæk Haff, Ingrid. Er maskinlæring framtida i Skatteetaten? Praktisk økonomi & finans (ISSN 1501-0074). (3) pp 344-352. doi: /10.18261/issn.1504-2871-2017-03-06. 2017.

Rand, Knut Dagestad; Grytten, Ivar; Nederbragt, Alexander Johan; Storvik, Geir Olve; Glad, Ingrid Kristine; Sandve, Geir Kjetil. Coordinates and intervals in graph-based reference genomes. BMC Bioinformatics (ISSN 1471-2105). 18:263 pp 1-8. doi: 10.1186/s12859-017-1678-9. 2017. Institutional archive 

Simovski, Boris; Vodak, Daniel; Gundersen, Sveinung; Domanska, Diana Ewa; Azab, Abdulrahman; Holden, Lars; Holden, Marit; Grytten, Ivar; Rand, Knut Dagestad; Drabløs, Finn; Johansen, Morten; Mora Ortiz, Antonio Carlos; Lund-Andersen, Christin; Fromm, Bastian; Eskeland, Ragnhild; Gabrielsen, Odd Stokke; Ferkingstad, Egil; Nakken, Sigve; Bengtsen, Mads; Nederbragt, Alexander Johan; Thorarensen, Hildur Sif; Akse, Johannes Andreas; Glad, Ingrid Kristine; Hovig, Johannes Eivind; Sandve, Geir Kjetil. GSuite HyperBrowser: integrative analysis of dataset collections across the genome and epigenome. GigaScience (ISSN 2047-217X). 6(7) pp 1-12. doi: 10.1093/gigascience/gix032. 2017. Institutional archive  ; Full-text

Vanem, Erik; Brandsæter, Andreas; Gramstad, Odin. Regression models for the effect of environmental conditions on the efficiency of ship machinery systems. In: Risk, Reliability and Safety: Innovating Theory and Practice : Proceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016). (ISBN 9781138029972). 2017.

Vanem, Erik; Storvik, Geir Olve. Anomaly Detection Using Dynamical Linear Models and Sequential Testing on a Marine Engine System. In: PHM 2017 Proceedings of the Annual Conference of the Prognostics and Health Management Society 2017. PHM Society. (ISBN 978-1-936263-26-4). pp 185-200. 2017.

2016

Aas, Kjersti. Pair-copula constructions for financial applications: A review. Econometrics (ISSN 2225-1146). 4(4) doi: 10.3390/econometrics4040043. 2016.

Bolin, David; Frigessi, Arnoldo; Guttorp, Peter; Haug, Ola; Orskaug, Elisabeth; Scheel, Ida; Wallin, Jonas. Calibrating regionally downscaled precipitation over Norway through quantile-based approaches. Advances in Statistical Climatology, Meteorology and Oceanography (ISSN 2364-3579). 2 pp 39-47. doi: 10.5194/ascmo-2-39-2016. 2016.

Brandsæter, Andreas; Manno, Gabriele; Vanem, Erik; Glad, Ingrid Kristine. An Application of Sensor-Based Anomaly Detection in the Maritime Industry. In: 2016 IEEE International Conference on Prognostics and Health Management (ICPHM 2016). (ISBN 9781509003839). 2016. Abstract Full-text

Crispino, Marta; Arjas, Elja; Vitelli, Valeria; Frigessi, Arnoldo. Recommendation from intransitive pairwise comparisons. CEUR Workshop Proceedings (ISSN 1613-0073). 1688 2016.

Frigessi, Arnoldo; Buhlmann, A; Glad, I. K.; Langaas, M; Richardson, S; Vannicci, M (eds). Statistical analysis for high-dimensional data. The Abel Symposium 2014. Springer. (ISBN 978-3-319-27097-5). pp 360. 2016.

Frigessi, Arnoldo; Bühlmann, Peter; Glad, Ingrid Kristine; Langaas, Mette; Richardson, Sylvia Therese Lamblin; Vannucci, Marina (eds). Statistical Analysis for High-Dimensional Data. Springer. (ISBN 978-3-319-27097-5). pp 306. 2016.

Glad, Ingrid Kristine; Hjort, Nils Lid. Model uncertainty first, not afterwards. Statistical Science (ISSN 0883-4237). 31(4) pp 490-494. doi: 10.1214/16-STS559. 2016. Full-text

Hobæk Haff, Ingrid; Aas, Kjersti; Frigessi, Arnoldo; Lacal Graziani, Virginia. Structure learning in Bayesian Networks using regular vines. Computational Statistics & Data Analysis (ISSN 0167-9473). 101 pp 186-208. doi: 10.1016/j.csda.2016.03.003. 2016. Full-text

Solbergersen, Linn Cecilie; Ahmed, Ismail; Frigessi, Arnoldo; Glad, Ingrid Kristine; Richardson, Sylvia Therese Lamblin. Preselection in Lasso-Type Analysis for Ultra-High Dimensional Genomic Exploration. Abel Symposia (ISSN 2193-2808). 11 pp 37-66. doi: 10.1007/978-3-319-27099-9_3. 2016.

Tharmaratnam, K.; Sperrin, M.; Jaki, T.; Reppe, Sjur; Frigessi, Arnoldo. Tilting the lasso by knowledge-based post-processing. BMC Bioinformatics (ISSN 1471-2105). 17(344) pp 1-9. doi: 10.1186/s12859-016-1210-7. 2016.

BigInsight has Norges Forskningsråd project number 237718. Please use this number on papers and on Cristin.