Pair-copula constructions of multiple dependence K Aas, C Czado, A Frigessi, H Bakken Insurance: Mathematics and economics 44 (2), 182-198, 2009 | 1662 | 2009 |
Text categorisation: A survey K Aas, L Eikvil Technical report, Norwegian computing center, 1999 | 665 | 1999 |
The Generalized Hyperbolic Skew Student’s t-Distribution K Aas, IH Haff Journal of financial econometrics 4 (2), 275-309, 2006 | 410 | 2006 |
Models for construction of multivariate dependence–a comparison study K Aas, D Berg The European Journal of Finance 15 (7-8), 639-659, 2009 | 325* | 2009 |
Truncated regular vines in high dimensions with application to financial data EC Brechmann, C Czado, K Aas Canadian Journal of Statistics 40 (1), 68-85, 2012 | 262 | 2012 |
On the simplified pair-copula construction—simply useful or too simplistic? IH Haff, K Aas, A Frigessi Journal of Multivariate Analysis 101 (5), 1296-1310, 2010 | 221 | 2010 |
Integrated risk modelling XK Dimakos, K Aas Statistical modelling 4 (4), 265-277, 2004 | 130 | 2004 |
Modelling the dependence structure of financial assets: A survey of four copulas K Aas Samba 22 (4), 18, 2004 | 108 | 2004 |
Applications of hidden Markov chains in image analysis K Aas, L Eikvil, RB Huseby Pattern recognition 32 (4), 703-713, 1999 | 76 | 1999 |
Risk capital aggregation K Aas, XK Dimakos, A Øksendal Risk Management 9 (2), 82-107, 2007 | 67 | 2007 |
Predicting mortgage default using convolutional neural networks H Kvamme, N Sellereite, K Aas, S Sjursen Expert Systems with Applications 102, 207-217, 2018 | 62 | 2018 |
Risk estimation using the multivariate normal inverse gaussian distribution K Aas, IH Haff, XK Dimakos The Journal of Risk 8 (2), 39, 2005 | 59 | 2005 |
Enhancing mean–variance portfolio selection by modeling distributional asymmetries RKY Low, R Faff, K Aas Journal of Economics and Business 85, 49-72, 2016 | 56 | 2016 |
Pair-copula constructions for financial applications: A review K Aas Econometrics 4 (4), 43, 2016 | 45 | 2016 |
Tools for interactive map conversion and vectorization L Eikvil, K Aas, H Koren Proceedings of 3rd International Conference on Document Analysis and …, 1995 | 44 | 1995 |
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values K Aas, M Jullum, A Løland arXiv preprint arXiv:1903.10464, 2019 | 43 | 2019 |
Modelling and predicting customer churn from an insurance company CC Günther, IF Tvete, K Aas, GI Sandnes, Ø Borgan Scandinavian Actuarial Journal 2014 (1), 58-71, 2014 | 40 | 2014 |
A survey on personalized information filtering systems for the world wide web K Aas Norwegian Computing Center, 1997 | 38 | 1997 |
Text page recognition using grey-level features and hidden Markov models K Aas, L Eikvil Pattern Recognition 29 (6), 977-985, 1996 | 36 | 1996 |
Microarray data mining: A survey K Aas NR Note, SAMBA, Norwegian Computing Center, 2001 | 31 | 2001 |