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Bård Støve
Bård Støve
Professor of Statistics, University of Bergen, Norway
Verified email at math.uib.no - Homepage
Title
Cited by
Cited by
Year
Biological variation: the effect of different distributions on estimated within-person variation and reference change values
T Røraas, B Støve, PH Petersen, S Sandberg
Clinical Chemistry 62 (5), 725-736, 2016
1072016
Nonparametric additive models for panels of time series
E Mammen, B Støve, D Tjøstheim
Econometric Theory 25 (2), 442-481, 2009
762009
Using local Gaussian correlation in a nonlinear re-examination of financial contagion
B Støve, D Tjøstheim, KO Hufthammer
Journal of Empirical Finance 25, 62-82, 2014
742014
Multivariate count autoregression
K Fokianos, B Støve, D Tjøstheim, P Doukhan
Bernoulli 26 (1), 471-499, 2020
682020
Modelling of dependence between critical failure and preventive maintenance: The repair alert model
BH Lindqvist, B Støve, H Langseth
Journal of Statistical Planning and Inference 136 (5), 1701-1717, 2006
482006
Statistical Dependence: Beyond Pearson’s ρ
D Tjøstheim, H Otneim, B Støve
Statistical science 37 (1), 90-109, 2022
432022
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
302014
Assessing non-linearity in European temperature-sensitive tree-ring data
FC Ljungqvist, P Thejll, J Björklund, BE Gunnarson, A Piermattei, ...
Dendrochronologia 59, 125652, 2020
262020
A Bayesian approach to biological variation analysis
T Røraas, S Sandberg, AK Aarsand, B Støve
Clinical Chemistry 65 (8), 995-1005, 2019
182019
Asymmetric dependence patterns in financial returns: An empirical investigation using local Gaussian correlation
B Støve, D Tjøstheim
Essays in Nonlinear Time Series Econometrics 307, 2014
172014
Asymmetric dependence patterns in financial returns: An empirical investigation using local Gaussian correlation
B Støve, D Tjøstheim
Essays in Nonlinear Time Series Econometrics 307, 2014
172014
The European Biological Variation Study (EuBIVAS): biological variation data for coagulation markers estimated by a Bayesian model
AK Aarsand, AH Kristoffersen, S Sandberg, B Støve, A Coşkun, ...
Clinical chemistry 67 (9), 1259-1270, 2021
162021
Statistical modeling using local gaussian approximation
D Tjøstheim, H Otneim, B Støve
Academic Press, 2021
152021
A convolution estimator for the density of nonlinear regression observations
B Støve, D Tjøstheim
Scandinavian Journal of Statistics 39 (2), 282-304, 2012
14*2012
Biological variation: evaluation of methods for constructing confidence intervals for estimates of within-person biological variation for different distributions of the within …
T Røraas, B Støve, PH Petersen, S Sandberg
Clinica Chimica Acta 468, 166-173, 2017
132017
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
62022
A test for nonlinearity in temperature proxy records
B Støve, FC Ljungqvist, P Thejll
Journal of climate 25 (20), 7173-7186, 2012
62012
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, 2022
52022
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
52018
A new convolution estimator for nonparametric regression
B Støve, D Tjøstheim
Advances In Statistical Modeling And Inference: Essays in Honor of Kjell A …, 2007
42007
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