The copula information criteria S Grønneberg, NL Hjort Scandinavian Journal of Statistics 41 (2), 436-459, 2014 | 108* | 2014 |

Estimation and inference in univariate and multivariate log-GARCH-X models when the conditional density is unknown G Sucarrat, S Grønneberg, A Escribano Computational statistics & data analysis 100, 582-594, 2016 | 38 | 2016 |

How general is the Vale–Maurelli simulation approach? N Foldnes, S Grønneberg Psychometrika 80 (4), 1066-1083, 2015 | 29 | 2015 |

Covariance model simulation using regular vines S Grønneberg, N Foldnes psychometrika 82 (4), 1035-1051, 2017 | 13 | 2017 |

Risk Estimation with a Time-Varying Probability of Zero Returns G Sucarrat, S Grønneberg Journal of Financial Econometrics, 2020 | 12* | 2020 |

The copula information criterion and its implications for the maximum pseudo-likelihood estimator S Grønneberg Dependence Modeling: Vine Copula Handbook, 113-138, 2010 | 12 | 2010 |

On identification and non-normal simulation in ordinal covariance and item response models N Foldnes, S Grønneberg psychometrika 84 (4), 1000-1017, 2019 | 10 | 2019 |

A Problem with discretizing Vale–Maurelli in simulation studies S Grønneberg, N Foldnes psychometrika 84 (2), 554-561, 2019 | 10 | 2019 |

Pernicious polychorics: The impact and detection of underlying non-normality N Foldnes, S Grønneberg Structural Equation Modeling: A Multidisciplinary Journal 27 (4), 525-543, 2020 | 9 | 2020 |

Assessing model fit in structural equation modeling using appropriate test statistics KM Marcoulides, N Foldnes, S Grønneberg Structural Equation Modeling: A Multidisciplinary Journal 27 (3), 369-379, 2020 | 8 | 2020 |

The asymptotic covariance matrix and its use in simulation studies N Foldnes, S Grønneberg Structural Equation Modeling: A Multidisciplinary Journal 24 (6), 881-896, 2017 | 8 | 2017 |

Testing model fit by bootstrap selection S Grønneberg, N Foldnes Structural Equation Modeling: A Multidisciplinary Journal 26 (2), 182-190, 2019 | 6 | 2019 |

Approximating test statistics using eigenvalue block averaging N Foldnes, S Grønneberg Structural Equation Modeling: A Multidisciplinary Journal 25 (1), 101-114, 2018 | 6 | 2018 |

Statistikk og dataanalyse N Foldnes, S Grønneberg, GH Hermansen Oslo: Cappelen Damm, 2018 | 6 | 2018 |

The sensitivity of structural equation modeling with ordinal data to underlying non-normality and observed distributional forms. N Foldnes, S Grønneberg Psychological Methods, 2021 | 4 | 2021 |

covsim: An r package for simulating non-normal data for structural equation models using copulas S Grønneberg, N Foldnes, KM Marcoulides Journal of Statistical Software, 2021 | 1 | 2021 |

Partial Identification of Latent Correlations with Binary Data S Grønneberg, J Moss, N Foldnes Psychometrika 85 (4), 1028-1051, 2020 | 1 | 2020 |

On partial-sum processes of ARMAX residuals S Grønneberg, B Holcblat The Annals of Statistics 47 (6), 3216-3243, 2019 | 1 | 2019 |

Some applications of stochastic process techniques to statistics S Grønneberg | 1 | 2011 |

Non-normal Data Simulation using Piecewise Linear Transforms N Foldnes, S Grønneberg Structural Equation Modeling: A Multidisciplinary Journal, 1-11, 2021 | | 2021 |