Arnoldo Frigessi

Image of Arnoldo Frigessi
Norwegian version of this page
Phone +47 22851004
Mobile phone +47-95735574
Room 2238
Visiting address Sognsvannsveien 9 Domus Medica 0372 Oslo
Postal address Postboks 1122 Blindern 0317 Oslo

Academic interests

I develop  innovative stochastic models that try to carefully represent fundamental principles, basic dynamics, intricate patterns of dependence and mechanisms of the system to be understood or predicted.

In this way, models can answer specific questions, qualitative or quantitative in nature, and posses more power. Inference is usually based on computationally intensive stochastic algorithms, like MCMC. I prefer the Bayesian approach, but many of my projects are likelihood based.

I lead the Oslo Center for Biostatistics and Epidemiology and I am director of BigInsight. BigInsight is a centre of excellence for research-based innovation, a consortium of industry, business, public institutions and academia, developing model based machine learning methodologies for big data.

Currently, my research collaborations are in genomics,  personalised therapy in cancer, infectious disease models including COVID-19, eHealth research, personalised and viral marketing, sensor data and recommender systems.

Courses taught

Courses taught at various levels: Statistics, Random fields, Statistical image analysis, Probability theory, Calculus, Stochastic processes, Graph theory, Markov chain Monte Carlo, Extreme value theory in actuarial and environmental sciences, Stochastic simulation, Linear models.

I have been teaching postdoctoral courses in several international summer schools. Currently I am teaching basic biostatistics for students in medicine, and some advanced courses in biostatistics at PhD level.


Since 2003, I am Professor in Statistics, at the Department of Biostatistics, University of Oslo. From 2007 i am also director of the Norwegian centre for research-based innovation “Statistics for Innovation”. I have an adjunct position (20%) at the  Norwegian Computing Centre. Previoyusly I have been working at the Norwegian Computing Centre, the University of Roma III, the University of Venice and for IAC at the Italian Research Council.

See complete CV (pdf)


  • Elected member of the Royal Norwegian Academy of Sciences and Letters, Oslo, from 2008
  • Elected member of the Norwegian Academy of Technological Sciences, Trondheim, from 2008

Positions held

  • Chairman of the Scientific Programme Committee, 9th World Congress in Probability and Statistics (IMS and Bernoulli Society), Koç University, Istanbul from July 9 to 14, 2012
  • Elected Members of the Council, Institute of Mathematical Statistics, USA


  • Norsk Regnesentral
  • Department of Mathematics, UiO
  • Department of Informatics, UiO
  • Eivind Hovig group, Radiumhospitalet, OUS
  • Anne Lise Børresen Dale  group, Radiumhospitalet, OUS
  • TOP group, Ullevåll, OUS
  • Universitá La Salute San Raffaele, Milano, Italy
  • Sylvia Richardson group, Imperial College, London
  • Peter Guttorp group , Univ. Washington, Seattle, USA
  • Gianpaolo Scalia Tomba group , Univ Roma II, Italy
  • Håvard Rue, NTNU
  • Many partners of Statistics for Innovation, (sfi)2, Oslo
  • The Danish Breast Cancer Cooperative Group (DBCG), Aarhus
  • Veterinærinsituttet, Oslo
  • The Norwegian Metereological Institute
Tags: Life sciences, Biostatistics, Genetic and epidemiology, Cancer, Stochastic models, Statistical inference, Complex stochastic dependence, Computational intensive statistics


  • Page, Christian Magnus; Nøst, Therese Haugdahl; Djordjilović, Vera; Thoresen, Magne; Frigessi, Arnoldo & Sandanger, Torkjel M [Show all 7 contributors for this article] (2022). Pre-diagnostic DNA methylation in blood leucocytes in cutaneous melanoma; a nested case–control study within the Norwegian Women and Cancer cohort. Scientific Reports. ISSN 2045-2322. 12(1). doi: 10.1038/s41598-022-18585-y.
  • Storvik, Geir Olve; Palomares, Alfonso Diz-Louis; Engebretsen, Solveig; Rø, Gunnar Øyvind Isaksson; Engø-Monsen, Kenth & Kristoffersen, AB [Show all 8 contributors for this article] (2022). A sequential Monte Carlo approach to estimate a time varying reproduction number in infectious disease models: the Covid-19 case. Journal of the Royal Statistical Society: Series A (Statistics in Society). ISSN 0964-1998.
  • Eide, Simen; Leslie, David S. & Frigessi, Arnoldo (2022). Dynamic slate recommendation with gated recurrent units and Thompson sampling. Data mining and knowledge discovery. ISSN 1384-5810. doi: 10.1007/s10618-022-00849-w.
  • Eide, Simen; Leslie, David; Frigessi, Arnoldo; Rishaug, Joakim; Jenssen, Helge & Verrewaere, Sofie (2021). FINN. no Slates Dataset: A new Sequential Dataset Logging Interactions, all Viewed Items and Click Responses/No-Click for Recommender Systems Research. In Corona, Humberto; Larson, Martha & Willemsen, Martijn C. (Ed.), RecSys '21 : Fifteenth ACM Conference on Recommender Systems. Association for Computing Machinery (ACM). ISSN 9781450384582. doi: 10.1145/3460231.3474607.
  • Divino, Fabio; Belay, Denekew Bitew; Keilman, Nico & Frigessi, Arnoldo (2021). Spatial modelling of Lexis mortality data. Spatial Statistics. ISSN 2211-6753. 44. doi: 10.1016/j.spasta.2021.100532.
  • Lindstrøm, Jonas Christoffer; Engebretsen, Solveig; Kristoffersen, Anja Bråthen; Rø, Gunnar Øyvind Isaksson; Diz-Lois Palomares, Alfonso & Engø-Monsen, Kenth [Show all 14 contributors for this article] (2021). Increased transmissibility of the alpha SARS-CoV-2 variant: evidence from contact tracing data in Oslo, January to February 2021. Infectious Diseases. ISSN 2374-4235. 54(1), p. 72–77. doi: 10.1080/23744235.2021.1977382. Full text in Research Archive
  • Lai, Xiaoran; Taskén, Håkon Austlid; Mo, Torgeir; Funke, Simon Wolfgang; Frigessi, Arnoldo & Rognes, Marie Elisabeth [Show all 7 contributors for this article] (2021). A scalable solver for a stochastic, hybrid cellular automaton model of personalized breast cancer therapy. International Journal for Numerical Methods in Biomedical Engineering. ISSN 2040-7939. 38(1). doi: 10.1002/cnm.3542. Full text in Research Archive
  • Engebretsen, Solveig; Engø-Monsen, Kenth; Aleem, Mohammad Abdul; Gurley, Emily Suzanne; Frigessi Di Rattalma, Arnoldo & de Blasio, Birgitte Freiesleben (2020). Time-aggregated mobile phone mobility data are sufficient for modelling influenza spread: the case of Bangladesh. Journal of the Royal Society Interface. ISSN 1742-5689. 17(167). doi: 10.1098/rsif.2019.0809. Full text in Research Archive
  • Pladsen, Arne Valebjørg; Nilsen, Gro; Rueda, Oscar M.; Aure, Miriam Ragle; Borgan, Ørnulf & Liestøl, Knut [Show all 18 contributors for this article] (2020). DNA copy number motifs are strong and independent predictors of survival in breast cancer. Communications Biology. ISSN 2399-3642. 3. doi: 10.1038/s42003-020-0884-6. Full text in Research Archive
  • Bergholtz, Helga; Lien, Tonje Gulbrandsen; Swanson, David; Frigessi Di Rattalma, Arnoldo; Daidone, Maria Grazia & Tost, Jörg [Show all 8 contributors for this article] (2020). Contrasting DCIS and invasive breast cancer by subtype suggests basal-like DCIS as distinct lesions. NPJ breast cancer. ISSN 2374-4677. 6. doi: 10.1038/s41523-020-0167-x. Full text in Research Archive
  • Page, Christian; Djordjilovic, Vera; Nøst, Therese Haugdahl; Ghiasvand, Reza; Sandanger, Torkjel M & Frigessi Di Rattalma, Arnoldo [Show all 8 contributors for this article] (2020). Lifetime ultraviolet radiation exposure and DNA methylation in blood leukocytes: The Norwegian Women and Cancer Study. Scientific Reports. ISSN 2045-2322. 10, p. 1–8. doi: 10.1038/s41598-020-61430-3. Full text in Research Archive
  • Tekpli, Xavier; Lien, Tonje Gulbrandsen; Røssevold, Andreas Hagen; Nebdal, Daniel J.H.; Borgen, Elin & Ohnstad, Hege Oma [Show all 19 contributors for this article] (2019). An independent poor-prognosis subtype of breast cancer defined by a distinct tumor immune microenvironment. Nature Communications. ISSN 2041-1723. 10:5499, p. 1–14. doi: 10.1038/s41467-019-13329-5. Full text in Research Archive
  • Swanson, David; Lien, Tonje Gulbrandsen; Bergholtz, Helga; Sørlie, Therese & Frigessi Di Rattalma, Arnoldo (2019). A Bayesian two-way latent structure model for genomic data integration reveals few pan-genomic cluster subtypes in a breast cancer cohort. Bioinformatics. ISSN 1367-4803. 35(23), p. 4886–4897. doi: 10.1093/bioinformatics/btz381.
  • Liu, Qinghua; Reiner, Andrew Henry; Frigessi Di Rattalma, Arnoldo & Scheel, Ida (2019). Diverse personalized recommendations with uncertainty from implicit preference data with the Bayesian Mallows model. Knowledge-Based Systems. ISSN 0950-7051. p. 1–12. doi: 10.1016/j.knosys.2019.104960. Full text in Research Archive
  • Lai, Xiaoran; Geier, Oliver; Fleischer, Thomas; Garred, Øystein; Borgen, Elin & Funke, Simon Wolfgang [Show all 14 contributors for this article] (2019). Towards personalized computer simulation of breast cancer treatment: a multi-scale pharmacokinetic and pharmacodynamic model informed by multi-type patient data. Cancer Research. ISSN 0008-5472. 79(16), p. 4293–4304. doi: 10.1158/0008-5472.CAN-18-1804. Full text in Research Archive
  • Crispino, Marta; Arjas, Elja; Vitelli, Valeria; Barrett, Natasha & Frigessi Di Rattalma, Arnoldo (2019). A Bayesian Mallows approach to nontransitive pair comparison data: How human are sounds? Annals of Applied Statistics. ISSN 1932-6157. 13(1), p. 492–519. doi: 10.1214/18-AOAS1203. Full text in Research Archive
  • Engebretsen, Solveig; Engø-Monsen, Kenth; Frigessi Di Rattalma, Arnoldo & De Blasio, Birgitte Freiesleben (2019). A theoretical single-parameter model for urbanisation to study infectious disease spread and interventions. PLoS Computational Biology. ISSN 1553-734X. 15(3). doi: 10.1371/journal.pcbi.1006879. Full text in Research Archive
  • Liu, Qinghua; Crispino, Marta; Scheel, Ida; Vitelli, Valeria & Frigessi Di Rattalma, Arnoldo (2019). Model-based learning from preference data. Annual Review of Statistics and Its Application. ISSN 2326-8298. 6, p. 329–354. doi: 10.1146/annurev-statistics-031017-100213.
  • Sørensen, Øystein; Hellton, Kristoffer Herland; Frigessi Di Rattalma, Arnoldo & Thoresen, Magne (2018). Covariate Selection in High-Dimensional Generalized Linear Models With Measurement Error. Journal of Computational And Graphical Statistics (JCGS). ISSN 1061-8600. 27(4), p. 739–749. doi: 10.1080/10618600.2018.1425626. Full text in Research Archive
  • Rohrbeck, Christian; Costain, Deborah A & Frigessi Di Rattalma, Arnoldo (2018). Bayesian spatial monotonic multiple regression. Biometrika. ISSN 0006-3444. 105(3), p. 691–707. doi: 10.1093/biomet/asy019.
  • LeBlanc, Marissa; Zuber, Verena; Thompson, Wesley Kurt; Andreassen, Ole Andreas; Frigessi Di Rattalma, Arnoldo & Kulle, Bettina (2018). A correction for sample overlap in genome-wide association studies in a polygenic pleiotropy-informed framework. BMC Genomics. ISSN 1471-2164. 19:494, p. 1–15. doi: 10.1186/s12864-018-4859-7. Full text in Research Archive
  • Erango, Markos Abiso; Frigessi Di Rattalma, Arnoldo & Rosseland, Leiv Arne (2018). A three minutes supine position test reveals higher risk of spinal anesthesia induced hypotension during cesarean delivery. An observational study. [version 1; peer review: 3 approved]. F1000 Research. ISSN 2046-1402. 7(1028), p. 1–20. doi: 10.12688/F1000RESEARCH.15142.1. Full text in Research Archive
  • Rohrbeck, Christian; Eastoe, Emma F.; Frigessi Di Rattalma, Arnoldo & Tawn, Jonathan A. (2018). Extreme value modelling of water-related insurance claims. Annals of Applied Statistics. ISSN 1932-6157. 12(1), p. 246–282. doi: 10.1214/17-AOAS1081. Full text in Research Archive
  • Vitelli, Valeria; Sørensen, Øystein; Crispino, Marta; Frigessi Di Rattalma, Arnoldo & Arjas, Elja (2018). Probabilistic preference learning with the Mallows rank model. Journal of machine learning research. ISSN 1532-4435. 18, p. 1–49. Full text in Research Archive
  • Engebretsen, Solveig; Frigessi, Arnoldo; Engø-Monsen, Kenth; Furberg, Anne-Sofie; Stubhaug, Audun & De Blasio, Birgitte Freiesleben [Show all 7 contributors for this article] (2018). The peer effect on pain tolerance. Scandinavian Journal of Pain. ISSN 1877-8860. 18(3), p. 467–477. doi: 10.1515/sjpain-2018-0060. Full text in Research Archive
  • Asfaw, Derbachew; Vitelli, Valeria; Sørensen, Øystein; Arjas, Elja & Frigessi, Arnoldo (2017). Time-varying rankings with the Bayesian Mallows model. Stat. ISSN 2049-1573. 6(1), p. 14–30. doi: 10.1002/sta4.132. Full text in Research Archive
  • Fleischer, Thomas; Tekpli, Xavier; Mathelier, Anthony; Wang, Shixiong; Nebdal, Daniel J.H. & Dhakal, Hari Prasad [Show all 16 contributors for this article] (2017). DNA methylation at enhancers identifies distinct breast cancer lineages. Nature Communications. ISSN 2041-1723. 8(1379). doi: 10.1038/s41467-017-00510-x. Full text in Research Archive
  • Linder, Dennis; Frigessi, Arnoldo; Piaserico, Stefano & Keilman, Nico (2017). Simulating the life course of psoriasis patients: the interplay between therapy intervention and marital status. Journal of the European Academy of Dermatology and Venereology. ISSN 0926-9959. 32(1), p. 62–67. doi: 10.1111/jdv.14567. Full text in Research Archive
  • Belay, Denekew Bitew; Kifle, Yehenew Getachew; Goshu, Ayele Taye; Gran, Jon Michael; Yewhalaw, Delenasaw & Duchateau, Luc [Show all 7 contributors for this article] (2017). Joint Bayesian modeling of time to malaria and mosquito abundance in Ethiopia. BMC Infectious Diseases. ISSN 1471-2334. 17(1). doi: 10.1186/s12879-017-2496-4. Full text in Research Archive
  • Aure, Miriam Ragle; Vitelli, Valeria; Jernström, Sandra Johanna; Kumar, Surendra; Krohn, Marit & Due, Eldri Undlien [Show all 34 contributors for this article] (2017). Integrative clustering reveals a novel split in the luminal A subtype of breast cancer with impact on outcome. Breast Cancer Research. ISSN 1465-5411. 19. doi: 10.1186/s13058-017-0812-y. Full text in Research Archive
  • Frigessi, Arnoldo; Buhlmann, Peter; Glad, Ingrid Kristine; Richardson, Sylvia & Vannucci, Marina (2016). Some themes in high-dimensional statistics. Abel Symposia. ISSN 2193-2808. 11, p. 1–13. doi: 10.1007/978-3-319-27099-9_1.
  • Crispino, Marta; Arjas, Elja; Vitelli, Valeria & Frigessi, Arnoldo (2016). Recommendation from intransitive pairwise comparisons. CEUR Workshop Proceedings. ISSN 1613-0073. 1688.
  • Solbergersen, LInn Cecilie; Ahmed, Ismail; Frigessi, Arnoldo; Glad, Ingrid Kristine & Richardson, Sylvia Therese Lamblin (2016). Preselection in Lasso-Type Analysis for Ultra-High Dimensional Genomic Exploration. Abel Symposia. ISSN 2193-2808. 11, p. 37–66. doi: 10.1007/978-3-319-27099-9_3.
  • Tharmaratnam, K.; Sperrin, M.; Jaki, T.; Reppe, Sjur & Frigessi, Arnoldo (2016). Tilting the lasso by knowledge-based post-processing. BMC Bioinformatics. ISSN 1471-2105. 17(344), p. 1–9. doi: 10.1186/s12859-016-1210-7.
  • Solvang, Hiroko Kato; Frigessi, Arnoldo; Kaveh, Fatemeh; Riis, Margit; Luders, Torben & Bukholm, Ida Rashida Khan [Show all 8 contributors for this article] (2016). Gene expression analysis supports tumor threshold over 2.0 cm for T-category breast cancer. EURASIP Journal on Bioinformatics and Systems Biology. ISSN 1687-4145. 2016(6). doi: 10.1186/s13637-015-0034-5. Full text in Research Archive
  • Bolin, David; Frigessi, Arnoldo; Guttorp, Peter; Haug, Ola; Orskaug, Elisabeth & Scheel, Ida [Show all 7 contributors for this article] (2016). Calibrating regionally downscaled precipitation over Norway through quantile-based approaches. Advances in Statistical Climatology, Meteorology and Oceanography (ASCMO). ISSN 2364-3579. 2, p. 39–47. doi: 10.5194/ascmo-2-39-2016. Full text in Research Archive
  • Hobæk Haff, Ingrid; Aas, Kjersti; Frigessi, Arnoldo & Lacal Graziani, Virginia (2016). Structure learning in Bayesian Networks using regular vines. Computational Statistics & Data Analysis. ISSN 0167-9473. 101, p. 186–208. doi: 10.1016/j.csda.2016.03.003.
  • LeBlanc, Marissa; Zuber, Verena; Kulle, Bettina; Witoelar, Aree; Zeng, Limin & Bettella, Francesco [Show all 26 contributors for this article] (2015). Identifying Novel Gene Variants in Coronary Artery Disease and Shared Genes with Several Cardiovascular Risk Factors. Circulation Research. ISSN 0009-7330. 1, p. 83–94. doi: 10.1161/CIRCRESAHA.115.306629.
  • Frigessi, Arnoldo; Holden, Lars & Teigland, André (2015). (sfi)<sup>2</sup> statistics for innovation - The experience of the Oslo centre in industrial statistics. Applied Stochastic Models in Business and Industry. ISSN 1524-1904. 31(1), p. 82–93. doi: 10.1002/asmb.2113.
  • Hobæk Haff, Ingrid; Frigessi, Arnoldo & Maraun, Douglas (2015). How well do regional climate models simulate the spatial dependence of precipitation? An application of pair-copula constructions. Journal of Geophysical Research (JGR): Atmospheres. ISSN 2169-897X. 120(7), p. 2624–2646. doi: 10.1002/2014JD022748.
  • Fairbairn, Catharine E.; Sayette, Michael; Aalen, Odd O. & Frigessi, Arnoldo (2015). Alcohol and Emotional Contagion An Examination of the Spreading of Smiles in Male and Female Drinking Groups. Clinical Psychological Science. ISSN 2167-7026. 3(5), p. 686–701. doi: 10.1177/2167702614548892.
  • Sørensen, Øystein; Frigessi, Arnoldo & Thoresen, Magne (2015). Measurement error in Lasso: Impact and likelihood bias correction. Statistica sinica. ISSN 1017-0405. 25(2), p. 809–829. doi: 10.5705/ss.2013.180. Full text in Research Archive

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  • Aalen, Odd O.; Frigessi, Arnoldo; Moger, Tron Anders; Scheel, Ida; Skovlund, Eva & Veierød, Marit Bragelien (2018). Statistiske metoder i medisin og helsefag. 2. utgave. Gyldendal Akademisk. ISBN 978-82-05-50764-7. 351 p.
  • Frigessi, Arnoldo; Buhlmann, A; Glad, I. K.; Langaas, M; Richardson, S & Vannicci, M (2016). Statistical analysis for high-dimensional data. The Abel Symposium 2014. Springer. ISBN 978-3-319-27097-5. 360 p.
  • Frigessi, Arnoldo; Bühlmann, Peter; Glad, Ingrid Kristine; Langaas, Mette; Richardson, Sylvia Therese Lamblin & Vannucci, Marina (2016). Statistical Analysis for High-Dimensional Data. Springer. ISBN 978-3-319-27097-5. 306 p.

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  • Andreassen, Tor Arne; Frigessi, Arnoldo & Spurkland, Anne (2022). Omikron vil neppe smitte alle. Men en eller annen variant, vil nesten alle bli smittet av. [Newspaper]. Aftenposten.
  • Frigessi, Arnoldo (2021). The Norwegian regional stochastic model of the Covid-19 epidemics.
  • Frigessi, Arnoldo (2021). Math&Stats modelling of breast cancer therapy .
  • Frigessi, Arnoldo (2021). Covid-19 modelling and AI.
  • Frigessi, Arnoldo (2021). Data science in emergency.
  • Frigessi, Arnoldo (2021). Models and predictions during the Covid-19 emergency in Norway.
  • Frigessi, Arnoldo (2021). Sverdrup prisen 2021.
  • Frigessi, Arnoldo (2021). Data science in an emergency.
  • Frigessi, Arnoldo (2021). Mathematical modelling of the Sars-CoV-2 pandemic in Norway.
  • Frigessi, Arnoldo (2021). Data Science for the covid-19 emergency.
  • Frigessi, Arnoldo (2021). Debatt i NRK radio P2 om utnyttelse av norske helsedata. [Radio]. NRK P2.
  • Stoltenberg, Camilla; Frigessi Di Rattalma, Arnoldo; Engebretsen, Solveig; Sandberg, Hallvard; Johansen, Per Anders & Ruhlin Gjuvsland, Elin (2021). Paneldebatt: HVA KAN VI LÆRE AV RUNDEN MED COVID: HVORDAN HÅNDTERER VI USIKKERHET OG ÅPENHET? [Internet]. Arendalsuka.
  • Stoltenberg, Camilla; Aavitsland, Preben; Rø, Gunnar Øyvind Isaksson; de Blasio, Birgitte Freiesleben; Frigessi Di Rattalma, Arnoldo & Engebretsen, Solveig (2021). Aftenposten bommer om prognoser. Igjen og igjen. . Aftenposten (morgenutg. : trykt utg.). ISSN 0804-3116.
  • Frigessi Di Rattalma, Arnoldo; Köhn-Luque, Alvaro; Kristensen, Vessela N.; Gørbitz, Carl Henrik & Engebråten, Olav (2020). Kan statistikk og matematikk redde like mange liv som nye medisiner? Aftenposten (morgenutg. : trykt utg.). ISSN 0804-3116.
  • Frigessi Di Rattalma, Arnoldo (2020). The Norwegian Covid-19 Model: a spatial modelling of the early phase epidemics .
  • Frigessi Di Rattalma, Arnoldo (2020). Spatial modelling of early-phase COVID-19 epidemic in Norway.
  • Frigessi Di Rattalma, Arnoldo (2020). In silico modelling of breast tumours for personalised therapy.
  • Løland, Anders & Frigessi Di Rattalma, Arnoldo (2020). Episode 3: Hvorfor skal forskning være en del av beredskapen vår? Med Arnoldo Frigessi. [Internet]. Sannsynligvis VIKTIG (podkast).
  • Løland, Anders & Frigessi Di Rattalma, Arnoldo (2020). Episode 2: Om den essensielle usikkerheten. Med Arnoldo Frigessi. [Internet]. Sannsynligvis VIKTIG (podkast).
  • Lai, Xiaoran; Kohn Luque, Alvaro; Frigessi, Arnoldo & Geier, Oliver (2017). Breast MRI as a building block for patient-specific simulations of drug effect.
  • Frigessi, Arnoldo; Buhlmann, Peter; Glad, Ingrid Kristine; Langaas, Mette; Richardson, Sylvia Therese Lamblin & Vannucci, Marina (2016). Abel Symposia: Preface. Abel Symposia. ISSN 2193-2808. 11, p. vii–x.
  • Frigessi, Arnoldo (2016). Discovery and prediction of change .
  • Frigessi, Arnoldo (2016). Big Data Big Insight.
  • Frigessi, Arnoldo (2016). Big Health data.
  • Frigessi, Arnoldo (2016). The power of statistical science: from data to discovery and value .
  • Frigessi, Arnoldo; Vitelli, Valeria; Crispino, Marta & Arjas, Elja (2016). Recommendations from non-transitive pairwise comparisons.
  • Frigessi, Arnoldo (2016). A high-dimensional tribute to Juni Palmgren.
  • Frigessi, Arnoldo (2016). Value from sharing data .
  • Frigessi, Arnoldo (2016). From big data to big insight .
  • Frigessi, Arnoldo (2016). Bayesian Inference for Ranks .
  • Frigessi, Arnoldo (2016). My data science.
  • Frigessi, Arnoldo (2016). Big health data: fantastiske muligheter og utfordringer .
  • Frigessi, Arnoldo (2016). The value of uncertainty .
  • Haug, Ola; Bolin, David; Frigessi, Arnoldo; Guttorp, Peter; Orskaug, Elisabeth & Scheel, Ida [Show all 7 contributors for this article] (2016). Modelling and predicting residential water damage insurance claims via a calibrated dynamical downscaling.
  • Frigessi, Arnoldo & Løland, Anders (2016). Forskning på statistiske modeller kan gi store gevinster. [Business/trade/industry journal]. Forskningsnytt 2015.
  • Frigessi, Arnoldo (2016). BigInsight and Skatteetatten.
  • Frigessi, Arnoldo (2016). The data rich society of the future.
  • Hobæk Haff, Ingrid; Frigessi, Arnoldo & Maraun, Douglas (2015). Hvor godt klarer regionale klimamodeller å gjenskape den romlige avhengigheten i nedbør?
  • Hobæk Haff, Ingrid; Frigessi, Arnoldo & Maraun, Douglas (2015). How well do regional climate models simulate the spatial dependence of precipitation? An application of pair-copula constructions.
  • Frigessi, Arnoldo (2015). SFI Big Insight - Norsk Regnesentral/UiO.
  • Frigessi, Arnoldo (2015). The future of biostatistics and the Oslo Center for Biostatistics and Epidemiology.
  • Frigessi, Arnoldo (2015). kurs STK1110, om big data og fremtiden i statistikk.
  • Frigessi, Arnoldo (2015). Stabmøte "What is happening in biostatistics".
  • Frigessi, Arnoldo (2015). Ledermøte: presentasjon av BigInsight.
  • Frigessi, Arnoldo (2015). Meta analysis with Mallows rank model.
  • Frigessi, Arnoldo (2015). Pan Cancer models.
  • Frigessi, Arnoldo (2015). Apollon lansering.
  • Frigessi, Arnoldo (2015). Preference learning.
  • Frigessi, Arnoldo (2015). Bayesian Mallows model for preference learning .
  • Frigessi, Arnoldo (2015). Her er likheten mellom kreft og skattejuks. [Journal]. Apollon.
  • Frigessi, Arnoldo (2015). Innovasjon vs. personvern. [Newspaper]. ComputerWorld.
  • Frigessi, Arnoldo (2015). De svakes ridder. [Journal]. Apollon.
  • Haug, Ola; Frigessi, Arnoldo; Scheel, Ida & Guttorp, Peter (2015). Modelling and predicting residential water damage insurance claims in a climate change perspective.
  • Frigessi, Arnoldo (2014). Bayesian inference for ranks. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 8819, p. XIII–XIV. doi: 10.1007/978-3-319-12571-8.
  • Vitelli, Valeria; Sørensen, Øystein; Frigessi, Arnoldo & Arjas, Elja (2018). Probabilistic preference learning with the Mallows rank model. Journal of Machine Learning Research.

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Published Apr. 13, 2011 2:40 PM - Last modified May 25, 2020 12:29 PM