Arnoldo Frigessi

Image of Arnoldo Frigessi
Norwegian version of this page
Phone +47 22851004
Mobile phone +4795735574 +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


  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Crispino, Marta; Arjas, Elja; Vitelli, Valeria & Frigessi, Arnoldo (2016). Recommendation from intransitive pairwise comparisons. CEUR Workshop Proceedings. ISSN 1613-0073. 1688.
  • 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
  • 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
  • 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
  • Fleischer, Thomas; Frigessi, Arnoldo; Johnson, Kevin C.; Edvardsen, Hege; Touleimat, Nizar & Klajic, Jovana [Show all 15 contributors for this article] (2014). Genome-wide DNA methylation profiles in progression to in situ and invasive carcinoma of the breast with impact on gene transcription and prognosis. Genome Biology. ISSN 1465-6906. 15. doi: 10.1186/s13059-014-0435-x Full text in Research Archive
  • Tramm, Trine; Mohammed, Hayat; Myhre, Simen; Kyndi, Marianne; Alsner, Jan & Børresen-Dale, Anne-Lise [Show all 9 contributors for this article] (2014). Development and Validation of a Gene Profile Predicting Benefit of Postmastectomy Radiotherapy in Patients with High-Risk Breast Cancer: A Study of Gene Expression in the DBCG82bc Cohort. Clinical Cancer Research. ISSN 1078-0432. 20(20), p. 5272–5280. doi: 10.1158/1078-0432.CCR-14-0458 Full text in Research Archive
  • Kristensen, Vessela N.; Lingjærde, Ole Christian; Russnes, Hege Elisabeth Giercksky; Vollan, Hans Kristian Moen; Frigessi, Arnoldo & Børresen-Dale, Anne-Lise (2014). Principles and methods of integrative genomic analyses in cancer. Nature Reviews Cancer. ISSN 1474-175X. 14(5), p. 299–313. doi: 10.1038/nrc3721
  • Scheel, Ida; Ferkingstad, Egil; Frigessi, Arnoldo; Haug, Ola; Hinnerichsen, Mikkel & Meze-Hausken, Elisabeth (2013). A Bayesian hierarchical model with spatial variable selection: the effect of weather on insurance claims. The Journal of the Royal Statistical Society, Series C (Applied Statistics). ISSN 0035-9254. 62, p. 85–100. doi: 10.1111/j.1467-9876.2012.01039.x
  • Aldrin, Magne; Raastad, Ragnhild; Tvete, Ingunn Fride; Berild, Dag; Frigessi, Arnoldo & Leegaard, Truls Michael [Show all 9 contributors for this article] (2013). Antibiotic resistance in hospitals: a ward-specific random effect model in a low antibiotic consumption environment. Statistics in Medicine. ISSN 0277-6715. 32(8), p. 1407–1418. doi: 10.1002/sim.5636
  • Løland, Anders; Huseby, Ragnar Bang; Hjort, Nils Lid & Frigessi, Arnoldo (2013). Statistical Corrections of Invalid Correlation Matrices. Scandinavian Journal of Statistics. ISSN 0303-6898. 40(4), p. 807–824. doi: 10.1111/sjos.12035
  • Sandve, Geir Kjetil; Gundersen, Sveinung; Johansen, Morten; Glad, Ingrid Kristine; Gunathasan, Krishanthi & Holden, Lars [Show all 21 contributors for this article] (2013). The Genomic HyperBrowser: an analysis web server for genome-scale data. Nucleic Acids Research (NAR). ISSN 0305-1048. 41(W1), p. W133–W141. doi: 10.1093/nar/gkt342 Full text in Research Archive
  • di Serio, C; Pellin, Danilo; ambrosi, alessandro; Glad, Ingrid Kristine & Frigessi, Arnoldo (2012). Biostatistics Meets Bioinformatics in Integrating Information from Highdimensional Heterogeneous Genomic Data: Two Examples from Rare Genetic Diseases and Infectious Diseases. In Biganzoli, E; Vellido, A; Ambrogi, F & Tagliaferri, R (Ed.), Computational Intelligence methods for bioinformatics and biostatistics. Springer. ISSN 978-3-642-35686-5. p. 10–20. doi: 10.1007/978-3-642-35686-5_2
  • Joshi, Himanshu; Nordgard, Silje H.; Frigessi, Arnoldo; Børresen-Dale, Anne-Lise & Kristensen, Vessela N. (2012). Overrepresentation of transcription factor families in the genesets underlying breast cancer subtypes. BMC Genomics. ISSN 1471-2164. 13(199). doi: 10.1186/1471-2164-13-199
  • Villani, Antonella; Frigessi, Arnoldo; Liljeros, Fredrik; Nordvik, Monika K. & De Blasio, Birgitte Freiesleben (2012). A Characterization of Internet Dating Network Structures among Nordic Men Who Have Sex with Men. PLOS ONE. ISSN 1932-6203. 7(7). doi: 10.1371/journal.pone.0039717
  • LeBlanc, Marissa; Kulle, Bettina; Sundet, Kjetil Søren; Agartz, Ingrid; Melle, Ingrid & Djurovic, Srdjan [Show all 8 contributors for this article] (2012). Genome-wide study identifies PTPRO and WDR72 and FOXQ1-SUMO1P1 interaction associated with neurocognitive function. Journal of Psychiatric Research. ISSN 0022-3956. 46(2), p. 271–278. doi: 10.1016/j.jpsychires.2011.11.001
  • Brown, Andrew; Jensen, Jimmy Kristian; Nikolova, Y.S.; Djurovic, Srdjan; Agartz, Ingrid & ALONSO, ANDRES SERVER [Show all 13 contributors for this article] (2012). Genetic variants affecting the neural processing of human facial expressions: evidence using a genome-wide functional imaging approach. Translational Psychiatry. ISSN 2158-3188. doi: 10.1038/tp.2012.67

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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; 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.
  • 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.

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  • 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.
  • 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.
  • 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.
  • Løland, Anders & Frigessi Di Rattalma, Arnoldo (2020). Episode 2: Om den essensielle usikkerheten. Med Arnoldo Frigessi. [Internet]. Sannsynligvis VIKTIG (podkast).
  • 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).
  • Frigessi Di Rattalma, Arnoldo (2020). Spatial modelling of early-phase COVID-19 epidemic in Norway.
  • Frigessi Di Rattalma, Arnoldo (2020). The Norwegian Covid-19 Model: a spatial modelling of the early phase epidemics .
  • Frigessi Di Rattalma, Arnoldo (2020). In silico modelling of breast tumours for personalised therapy.
  • 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 (2016). Bayesian Inference for Ranks .
  • Frigessi, Arnoldo (2016). A high-dimensional tribute to Juni Palmgren.
  • Frigessi, Arnoldo; Vitelli, Valeria; Crispino, Marta & Arjas, Elja (2016). Recommendations from non-transitive pairwise comparisons.
  • Frigessi, Arnoldo (2016). The power of statistical science: from data to discovery and value .
  • Frigessi, Arnoldo (2016). From big data to big insight .
  • Frigessi, Arnoldo (2016). My data science.
  • Frigessi, Arnoldo (2016). The value of uncertainty .
  • Frigessi, Arnoldo (2016). Big health data: fantastiske muligheter og utfordringer .
  • Frigessi, Arnoldo (2016). Value from sharing data .
  • Frigessi, Arnoldo (2016). Big Data Big Insight.
  • Frigessi, Arnoldo (2016). Big Health data.
  • Frigessi, Arnoldo (2016). Discovery and prediction of change .
  • 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 & Løland, Anders (2016). Forskning på statistiske modeller kan gi store gevinster. [Business/trade/industry journal]. Forskningsnytt 2015.
  • Frigessi, Arnoldo (2016). The data rich society of the future.
  • Frigessi, Arnoldo (2016). BigInsight and Skatteetatten.
  • 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.
  • Haug, Ola; Frigessi, Arnoldo; Scheel, Ida & Guttorp, Peter (2015). Modelling and predicting residential water damage insurance claims in a climate change perspective.
  • 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.
  • Hobæk Haff, Ingrid; Frigessi, Arnoldo & Maraun, Douglas (2015). Hvor godt klarer regionale klimamodeller å gjenskape den romlige avhengigheten i nedbør?
  • Frigessi, Arnoldo (2015). Innovasjon vs. personvern. [Newspaper]. ComputerWorld.
  • Frigessi, Arnoldo (2015). Her er likheten mellom kreft og skattejuks. [Journal]. Apollon.
  • Frigessi, Arnoldo (2015). De svakes ridder. [Journal]. Apollon.
  • Frigessi, Arnoldo (2015). Bayesian Mallows model for preference learning .
  • Frigessi, Arnoldo (2015). Pan Cancer models.
  • Frigessi, Arnoldo (2015). kurs STK1110, om big data og fremtiden i statistikk.
  • Frigessi, Arnoldo (2015). Ledermøte: presentasjon av BigInsight.
  • Frigessi, Arnoldo (2015). Stabmøte "What is happening in biostatistics".
  • Frigessi, Arnoldo (2015). The future of biostatistics and the Oslo Center for Biostatistics and Epidemiology.
  • Frigessi, Arnoldo (2015). Preference learning.
  • Frigessi, Arnoldo (2015). Meta analysis with Mallows rank model.
  • Frigessi, Arnoldo (2015). Apollon lansering.
  • Frigessi, Arnoldo (2015). SFI Big Insight - Norsk Regnesentral/UiO.
  • Haug, Ola; Scheel, Ida; Orskaug, Elisabeth; Frigessi, Arnoldo; Guttorp, Peter & Ferkingstad, Egil (2014). Vulnerability models for water damage insurance claims - predictions of future losses 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
  • Scheel, Ida; Haug, Ola; Orskaug, Elisabeth; Frigessi, Arnoldo & Guttorp, Peter (2012). Evaluating and Calibrating Dynamically Downscaled Precipitation Using the Doksum Shift Function.
  • Tramm, T; Mohammed, H; Myhre, S; Alsner, J; Borresen-Dale, AL & Sorlie, T [Show all 8 contributors for this article] (2012). A Seven-gene Signature Predicting Benefit of Postmastectomy Radiotherapy in High Risk Breast Cancer. European Journal of Cancer. ISSN 0959-8049. 48, p. S181–S181.
  • Haug, Ola; Orskaug, Elisabeth; Scheel, Ida; Frigessi, Arnoldo; Maraun, Douglas & Guttorp, Peter (2012). Evaluation and Calibration of Dynamically Downscaled Precipitation over Norwegian Mainland.
  • Holden, Lars; Frigessi, Arnoldo & Mysterud, Rønnaug Sægrov (2012). Statistics for innovation, presentasjon av en SFI.
  • Vitelli, Valeria; Sørensen, Øystein; Frigessi, Arnoldo & Arjas, Elja (2018). Probabilistic preference learning with the Mallows rank model. Journal of Machine Learning Research.
  • Hobæk Haff, Ingrid; Frigessi, Arnoldo; Aas, Kjersti & Borgan, Ørnulf (2012). Pair-copula constructions - an inferential perspective. Akademisk Forlag. ISSN 1501-7710.

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