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Showing results 1-50 of 122
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2024
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1. |
Bølviken, Erik Helmer; Haff, Ingrid Hobæk. Loss modeling with many-parameter distributions. Scandinavian Actuarial Journal 2024 p. - UiO
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2023
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Dæhlen, Ingrid; Hjort, Nils Lid; Haff, Ingrid Hobæk. Accurate bias estimation with applications to focused model selection. Scandinavian Journal of Statistics 2023 p. 1-36 UiO
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2022
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Akbar, Rahmad; Robert, Philippe Paul Auguste; Weber, Cédric R.; Widrich, Michael; Frank, Robert; Pavlovic, Milena; Scheffer, Lonneke; Chernigovskaia, Maria; Snapkow, Igor; Slabodkin, Andrei; Mehta, Brij Bhushan; Miho, Enkelejda; Lund-Johansen, Fridtjof; Andersen, Jan Terje; Hochreiter, Sepp; Haff, Ingrid Hobæk; Klambauer, Günter; Sandve, Geir Kjetil Ferkingstad; Greiff, Victor. In silico proof of principle of machine learning-based antibody design at unconstrained scale. mAbs 2022 ;Volume 14:e2031482.(1) p. 1-18 OUS UiO
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Bakka, Haakon Christopher; Rognebakke, Hanne Therese Wist; Glad, Ingrid Kristine; Haff, Ingrid Hobæk; Vanem, Erik. Estimating the effect of biofouling on ship shaft power based on sensor measurements. Ship Technology Research 2022 ;Volume 70.(3) p. 209-221 UiO NR
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Brant, Simon Boge; Haff, Ingrid Hobæk. The fraud loss for selecting the model complexity in fraud detection. Journal of Applied Statistics 2022 p. - UiO
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Minotto, Thomas; Haff, Ingrid Hobæk; Sandve, Geir Kjetil Ferkingstad. Detecting statistical interactions in immune receptor datasets. I: Proceedings of the 36th International Workshop on Statistical Modelling. EUT Edizioni Università di Trieste 2022 ISBN 978-88-5511-309-0. p. 253-257 UiO
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Robert, Philippe Paul Auguste; Akbar, Rahmad; Frank, Robert; Pavlović, Milena; Widrich, Michael; Snapkov, Igor; Slabodkin, Andrei; Chernigovskaya, Maria; Scheffer, Lonneke; Smorodina, Eva; Rawat, Puneet; Mehta, Brij Bhushan; Vu, Mai Ha; Mathisen, Ingvild Frøberg; Prósz, Aurél; Abram, Krzysztof; Olar, Alex; Miho, Enkelejda; Haug, Dag Trygve Truslew; Lund-Johansen, Fridtjof; Hochreiter, Sepp; Haff, Ingrid Hobæk; Klambauer, Günter; Sandve, Geir Kjetil Ferkingstad; Greiff, Victor. Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction. Nature Computational Science 2022 ;Volume 2.(12) p. 845-865 UiO OUS
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Sandve, Geir Kjetil Ferkingstad; Greiff, Victor; Haff, Ingrid Hobæk; Vu, Mai Ha. Deciphering the Immune System Through Linguistics-Inspired Statistical Machine Learning. dScience Lunch Seminar; 2022-09-15 - 2022-09-15 UiO
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2021
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Akbar, Rahmad; Robert, Philippe Paul Auguste; Pavlović, Milena; Jeliazkov, Jeliazko R.; Snapkov, Igor; Slabodkin, Andrei; Weber, Cédric R.; Scheffer, Lonneke; Miho, Enkelejda; Haff, Ingrid Hobæk; Haug, Dag Trygve Truslew; Lund-Johansen, Fridtjof; Safonova, Yana; Sandve, Geir Kjetil Ferkingstad; Greiff, Victor. A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding. Cell reports 2021 ;Volume 34:108856.(11) p. 1-21 UiO
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Pavlović, Milena; Scheffer, Lonneke; Motwani, Keshav; Kanduri, Chakravarthi; Kompova, Radmila; Vazov, Nikolay Aleksandrov; Waagan, Knut; Bernal, Fabian Leonardo Martinez; Costa, Alexandre Almeida; Corrie, Brian; Akbar, Rahmad; Al Hajj, Ghadi S.; Balaban, Gabriel; Brusko, Todd M.; Chernigovskaia, Mariia; Christley, Scott; Cowell, Lindsay G.; Frank, Robert; Grytten, Ivar; Gundersen, Sveinung; Haff, Ingrid Hobæk; Hovig, Eivind; Hsieh, Ping-Han; Klambauer, Günter; Kuijjer, Marieke L.; Lund-Andersen, Christin; Martini, Antonio; Minotto, Thomas; Pensar, Johan; Rand, Knut Dagestad; Riccardi, Enrico; Robert, Philippe Paul Auguste; Rocha, Artur; Slabodkin, Andrei; Snapkov, Igor; Sollid, Ludvig Magne; Titov, Dmytro; Weber, Cédric R.; Widrich, Michael; Yaari, Gur; Greiff, Victor; Sandve, Geir Kjetil Ferkingstad. The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires. Nature Machine Intelligence 2021 ;Volume 3.(11) p. 936-944 OUS UiO
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11. |
Slabodkin, Andrei; Chernigovskaia, Maria; Mikocziova, Ivana; Akbar, Rahmad; Scheffer, Lonneke; Pavlović, Milena; Bashour, Habib; Snapkov, Igor; Mehta, Brij Bhushan; Weber, Cédric R.; Gutierrez-Marcos, Jose; Sollid, Ludvig Magne; Haff, Ingrid Hobæk; Sandve, Geir Kjetil Ferkingstad; Robert, Philippe Paul Auguste; Greiff, Victor. Individualized VDJ recombination predisposes the available Ig sequence space. Genome Research 2021 ;Volume 31.(12) p. 2209-2225 OUS UiO
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2020
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12. |
Wang, Yinzhi; Hobæk Haff, Ingrid; Huseby, Arne. Modelling extreme claims via composite models and threshold selection methods. Insurance, Mathematics & Economics 2020 ;Volume 91. p. 257-268 UiO
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2019
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13. |
Ko, Vinnie; Hjort, Nils Lid; Hobæk Haff, Ingrid. Focused information criteria for copulae. Scandinavian Journal of Statistics 2019 ;Volume 46. p. 1117-1140 UiO
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2018
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14. |
Hobæk Haff, Ingrid. Structure learning in Bayesian Networks using regular vines. Gjesteforelesning ved Karlsruhe Institut für Technologie; 2018-01-29 - 2018-01-29 UiO
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15. |
Hobæk Haff, Ingrid; Segers, Johan. Nonparametric estimation of pair-copula constructions with the empirical pair-copula. ISNPS 2018; 2018-06-11 - 2018-06-15 UiO
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Hobæk Haff, Ingrid; Wang, Yinzhi. Focussed selection of the claim severity distribution in non-life insurance. FocuStat Conference 2018: Vårens Vakreste Variabler; 2018-05-22 - 2018-05-25 UiO
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Wang, Yinzhi; Hobæk Haff, Ingrid. Focussed selection of the claim severity distribution. Scandinavian Actuarial Journal 2018 ;Volume 2. p. 129-142 UiO
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18. |
Wang, Yinzhi; Hobæk Haff, Ingrid. Modelling extreme claims via composite models and threshold selection methods. STATISTICAL MODELLING OF HEAVY-TAIL PHENOMENA WITH APPLICATIONS; 2018-06-01 - 2018-06-04 UiO
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2017
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19. |
Bevacqua, Emanuele; Maraun, Douglas; Hobæk Haff, Ingrid; Widmann, Matrin; Vrac, Mathieu. Multivariate statistical modelling of compound events via pair-copula constructions: Analysis of floods in Ravenna (Italy). Hydrology and Earth System Sciences (HESS) 2017 ;Volume 21.(6) p. 2701-2723 UiO
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20. |
Hobæk Haff, Ingrid. Combining dependent probability forecasts. Big Insight Day 2017; 2017-10-31 - 2017-10-31 UiO
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21. |
Hobæk Haff, Ingrid. Kombinajon av sannsylighetsprediksjoner. 19. norske statistikermøte; 2017-06-13 - 2017-06-15 UiO
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22. |
Løland, Anders; Berset, Anders; Hobæk Haff, Ingrid. Er maskinlæring framtida i Skatteetaten?. Praktisk økonomi & finans 2017 ;Volume 33.(3) p. 344-352 UiO NR
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2016
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23. |
Hobæk Haff, Ingrid. Aktuarutdanningen ved UiO. Medlemsmøte i Aktuarforeningen; 2016-10-20 - 2016-10-20 UiO
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Hobæk Haff, Ingrid. Copulae and pair-copula constructions. PhD/Postdoc-workshop; 2016-09-09 - 2016-09-10 UiO
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25. |
Hobæk Haff, Ingrid. How to select a good vine. International FocuStat Workshop on Focused Information Criteria and Related Themes; 2016-05-09 - 2016-05-11 UiO
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26. |
Hobæk Haff, Ingrid. How well do regional climate models simulate the spatial dependence of precipitation? An application of pair-copula constructions. The 9th International Conference of the ERCIM WG on Computational and Methodological Statistics; 2016-12-09 - 2016-12-11 UiO
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27. |
Hobæk Haff, Ingrid. Hvordan avslører vi svindel?. ESRA-seminar; 2016-02-03 - 2016-02-03 UiO
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28. |
Hobæk Haff, Ingrid. Nonparametric estimation of pair-copula construction with the empirical pair-copula. The 8th Trondheim Symposium in Statistics; 2016-10-07 - 2016-10-08 UiO
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29. |
Hobæk Haff, Ingrid. Structure learning in Bayesian Networks using regular vines. Tuesday seminar; 2016-01-26 - 2016-01-26 UiO
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30. |
Hobæk Haff, Ingrid; Aas, Kjersti; Frigessi, Arnoldo; Lacal Graziani, Virginia. Structure learning in Bayesian Networks using regular vines. Computational Statistics & Data Analysis 2016 ;Volume 101. p. 186-208 UiO UiB NR
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31. |
Hobæk Haff, Ingrid; Segers, Johan. Nonparametric estimation of pair-copula constructions with the empirical pair-copula. 8. Trondheim Symposium i Statistikk; 2016-10-07 - 2016-10-08 UiO
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2015
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32. |
Hobæk Haff, Ingrid. Hvordan avslører vi svindel?. Partnerforum: Store datamengder - store spørsmål; 2015-10-16 - 2015-10-16 UiO
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33. |
Hobæk Haff, Ingrid. Parameter estimation for pair-copula constructions. Innaugural lecture; 2015-10-12 - 2015-10-12 UiO
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34. |
Hobæk Haff, Ingrid; Frigessi, Arnoldo; Maraun, Douglas. How well do regional climate models simulate the spatial dependence of precipitation? An application of pair-copula constructions. Journal of Geophysical Research (JGR): Atmospheres 2015 ;Volume 120.(7) p. 2624-2646 UiO NR
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Hobæk Haff, Ingrid; Frigessi, Arnoldo; Maraun, Douglas. How well do regional climate models simulate the spatial dependence of precipitation? An application of pair-copula constructions. FINEWSTOCH Networkshop; 2015-10-27 - 2015-10-28 UiO
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36. |
Hobæk Haff, Ingrid; Frigessi, Arnoldo; Maraun, Douglas. Hvor godt klarer regionale klimamodeller å gjenskape den romlige avhengigheten i nedbør?. 18. norske statistikermøte; 2015-06-16 - 2015-06-18 NR UiO
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37. |
Hobæk Haff, Ingrid; Segers, Johan. Nonparametric estimation of pair-copula constructions with the empirical pair-copula. Computational Statistics & Data Analysis 2015 ;Volume 84. p. 1-13 NR
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38. |
Lenkoski, Alex; Hobæk Haff, Ingrid; Aas, Kjersti. A DLM for Predicting the Return of a Portfolio. Oslo: Norsk Regnesentral 2015 41 p. NR-notat(SAMBA/26/15) NR
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Lenkoski, Alex; Løland, Anders; Hobæk Haff, Ingrid; Neef, Linda Reiersølmoen. Calibrated Probabilities and the Investigation of Soft Fraud in Automobile Insurance Claims. Oslo: Norsk Regnesentral 2015 25 p. NR-notat(SAMBA/41/15) NR
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2014
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40. |
Aas, Kjersti; Hobæk Haff, Ingrid. DNB Total Risk Model Version 5: Technical report. Oslo: Norsk Regnesentral 2014 66 p. NR-notat(SAMBA/47/14) NR
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41. |
Aas, Kjersti; Hobæk Haff, Ingrid. Totalrisikomodell for DNB Versjon 5: Brukermanual. Oslo: Norsk Regnesentral 2014 69 p. NR-notat(SAMBA/48/14) NR
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42. |
Løland, Anders; Lenkoski, Alex; Hobæk Haff, Ingrid; Neef, Linda Reiersølmoen. Calibrated Probabilities and the Investigation of Soft Fraud in Automobile Insurance Claims. The 2014 International Conference of the Royal Statistical Society; 2014-09-01 - 2014-09-04 NR
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43. |
Martino, Sara; Løland, Anders; Mo, Birger; Hobæk Haff, Ingrid. Statistical properties of historical inflow series for long-term models. : Norsk Regnesentral 2014 34 p. NR-notat(SAMBA/11/14) ENERGISINT NR
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2013
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44. |
Hobæk Haff, Ingrid. Parameter estimation for pair-copula constructions. Bernoulli 2013 ;Volume 19.(2) p. 462-491 NR
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Martino, Sara; Hobæk Haff, Ingrid; Løland, Anders; Mo, Birger. Statistical properties of historical inflow series for long-term models. : Norsk Regnesentral 2013 79 p. NR-notat(SAMBA/50/13) ENERGISINT NR
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2012
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46. |
Aas, Kjersti; Hobæk Haff, Ingrid. DNB Total Risk Model Version 4: Technical report. Oslo: Norsk Regnesentral 2012 59 p. NR-notat(SAMBA/04/12) NR
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47. |
Hobæk Haff, Ingrid. Comparison of estimators for pair-copula constructions. Journal of Multivariate Analysis 2012 ;Volume 110. p. 91-105 NR
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48. |
Hobæk Haff, Ingrid; Martino, Sara; Løland, Anders; Follestad, Turid. Statistical properties of historical inflow series for long-term models. Oslo: Norsk Regnesentral 2012 39 p. NR-notat(SAMBA/50/12) ENERGISINT NR
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49. |
Hobæk Haff, Ingrid. Pair-copula constructions - an inferential perspective. Akademisk Forlag 2012 136 p. Series of dissertations submitted to the Faculty of Mathematics and Natural Sciences, University of Oslo.(1218) NR
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2011
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50. |
Aas, Kjersti; Hobæk Haff, Ingrid. Totalrisikomodell for DNB Versjon 4: Teknisk Rapport. Oslo: Norsk Regnesentral 2011 59 p. NR-notat(SAMBA/52/2011) NR
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