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Steffen Grønneberg
Steffen Grønneberg
Professor of Statistics at BI Norwegian Business School
Verified email at bi.no
Title
Cited by
Cited by
Year
The copula information criteria
S Grønneberg, NL Hjort
Scandinavian Journal of Statistics 41 (2), 436-459, 2014
134*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
582016
How general is the Vale–Maurelli simulation approach?
N Foldnes, S Grønneberg
Psychometrika 80, 1066-1083, 2015
422015
The sensitivity of structural equation modeling with ordinal data to underlying non-normality and observed distributional forms.
N Foldnes, S Grønneberg
Psychological Methods 27 (4), 541, 2022
392022
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
382020
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
362020
Risk estimation with a time-varying probability of zero returns
G Sucarrat, S Grønneberg
Journal of Financial Econometrics 20 (2), 278-309, 2022
27*2022
Covariance model simulation using regular vines
S Grønneberg, N Foldnes
Psychometrika 82, 1035-1051, 2017
272017
Statistikk og dataanalyse: En moderne innføring
N Foldnes, S Grønneberg, GH Hermansen
Cappelen Damm akademisk, 2018
23*2018
On identification and non-normal simulation in ordinal covariance and item response models
N Foldnes, S Grønneberg
Psychometrika 84 (4), 1000-1017, 2019
202019
Factor analyzing ordinal items requires substantive knowledge of response marginals.
S Grønneberg, N Foldnes
Psychological Methods 29 (1), 65, 2024
172024
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 102, 1-45, 2022
172022
A problem with discretizing Vale–Maurelli in simulation studies
S Grønneberg, N Foldnes
Psychometrika 84 (2), 554-561, 2019
172019
Approximating test statistics using eigenvalue block averaging
N Foldnes, S Grønneberg
Structural Equation Modeling: A Multidisciplinary Journal 25 (1), 101-114, 2018
152018
Testing model fit by bootstrap selection
S Grønneberg, N Foldnes
Structural Equation Modeling: A Multidisciplinary Journal 26 (2), 182-190, 2019
142019
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
132017
The copula information criterion and its implications for the maximum pseudo-likelihood estimator
S Grønneberg
Dependence Modeling: Vine Copula Handbook, 113-138, 2010
122010
Non-normal data simulation using piecewise linear transforms
N Foldnes, S Grønneberg
Structural Equation Modeling: A Multidisciplinary Journal 29 (1), 36-46, 2022
82022
Partial identification of latent correlations with binary data
S Grønneberg, J Moss, N Foldnes
Psychometrika 85 (4), 1028-1051, 2020
72020
On partial-sum processes of ARMAX residuals
S Grønneberg, B Holcblat
The Annals of Statistics 47 (6), 3216-3243, 2019
72019
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