Recognizing and visualizing departures from independence in bivariate data using local Gaussian correlation GD Berentsen, D Tjøstheim Statistics and Computing 24 (5), 785-801, 2014 | 36 | 2014 |
Introducing localgauss, an R package for estimating and visualizing local Gaussian correlation GD Berentsen, TS Kleppe, DB Tjøstheim Journal of Statistical Software 56, 1-18, 2014 | 33 | 2014 |
Recognizing and visualizing copulas: an approach using local Gaussian approximation GD Berentsen, B Støve, D Tjøstheim, T Nordbø Insurance: Mathematics and Economics 57, 90-103, 2014 | 31 | 2014 |
Some properties of local gaussian correlation and other nonlinear dependence measures GD Berentsen, R Cao, M Francisco‐Fernández, D Tjøstheim Journal of Time Series Analysis 38 (2), 352-380, 2017 | 12 | 2017 |
The heritability of BMI varies across the range of BMI—a heritability curve analysis in a twin cohort F Azzolini, GD Berentsen, HJ Skaug, JVB Hjelmborg, JA Kaprio International Journal of Obesity 46 (10), 1786-1791, 2022 | 6 | 2022 |
Portfolio allocation under asymmetric dependence in asset returns using local Gaussian correlations AD Sleire, B Støve, H Otneim, GD Berentsen, D Tjøstheim, SH Haugen Finance Research Letters 46, 102475, 2022 | 6 | 2022 |
Variation in use of Caesarean section in Norway: An application of spatio-temporal Gaussian random fields J Mannseth, GD Berentsen, HJ Skaug, RT Lie, D Moster Scandinavian Journal of Public Health 49 (8), 891-898, 2021 | 6 | 2021 |
A gentle tutorial on accelerated parameter and confidence interval estimation for hidden Markov models using Template Model Builder T Bacri, GD Berentsen, J Bulla, S Hølleland Biometrical Journal 64 (7), 1260-1288, 2022 | 5 | 2022 |
Modelling clusters of corporate defaults: Regime-switching models significantly reduce the contagion source GD Berentsen, J Bulla, A Maruotti, B Støve Journal of the Royal Statistical Society Series C: Applied Statistics 71 (3 …, 2022 | 5 | 2022 |
Modelling corporate defaults: A Markov-switching Poisson log-linear autoregressive model GD Berentsen, J Bulla, A Maruotti, B Støve arXiv preprint arXiv:1804.09252, 2018 | 5 | 2018 |
Local lead–lag relationships and nonlinear granger causality: An empirical analysis H Otneim, GD Berentsen, D Tjøstheim Entropy 24 (3), 378, 2022 | 3 | 2022 |
Computational issues in parameter estimation for hidden Markov models with template model builder T Bacri, GD Berentsen, J Bulla, B Støve Journal of Statistical Computation and Simulation 93 (18), 3421-3457, 2023 | 2 | 2023 |
Heritability curves: A local measure of heritability in family models GD Berentsen, F Azzolini, HJ Skaug, RT Lie, HK Gjessing Statistics in Medicine 40 (6), 1357-1382, 2021 | 2 | 2021 |
Joint Forecasting of Salmon Lice and Treatment Interventions in Aquaculture Operations BS Narum, GD Berentsen FOR, 2024 | | 2024 |
Optimal allocation of 30GW offshore wind power in the Norwegian Economic Zone S Hølleland, GD Berentsen, H Otneim, IM Solbrekke Wind Energy Science Discussions 2024, 1-26, 2024 | | 2024 |
The Free Lunch of Climate Change Mitigation. How to Eliminate Natural Gas Routine Flaring & Intentional Venting at Zero Cost V Dotti, G Benini, MS Masnadi, HM El-Houjeiri, W Fichtner, A Ardone, ... | | 2024 |
Shareholder activism and the green transition X Li, GD Berentsen, H Otneim, S Juranek Available at SSRN 4591276, 2023 | | 2023 |
THE NORWEGIAN ECONOMIC ZONE S Hølleland, GD Berentsen, H Otneim, IM Solbrekke | | 2023 |
Visualizing and recognizing copulas: an approach using local Gaussian approximation GD Berentsen, B Støve, T Nordbø, D Tjøstheim | | 2012 |
Analysis of left truncated data with an application to insurance data GD Berentsen The University of Bergen, 2009 | | 2009 |