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Håkon Otneim
Håkon Otneim
Verified email at nhh.no
Title
Cited by
Cited by
Year
Statistical Dependence: Beyond Pearson’s ρ
D Tjøstheim, H Otneim, B Støve
Statistical science 37 (1), 90-109, 2022
322022
The locally gaussian density estimator for multivariate data
H Otneim, D Tjøstheim
Statistics and Computing 27, 1595-1616, 2017
252017
Conditional density estimation using the local gaussian correlation
H Otneim, D Tjøstheim
Statistics and Computing 28, 303-321, 2018
212018
Statistical Modeling Using Local Gaussian Approximation
D Tjøstheim, H Otneim, B Støve
Academic Press, 2021
122021
The locally Gaussian partial correlation
H Otneim, D Tjøstheim
Journal of Business & Economic Statistics 40 (2), 924-936, 2022
92022
Pairwise local Fisher and naive Bayes: Improving two standard discriminants
H Otneim, M Jullum, D Tjøstheim
Journal of Econometrics 216 (1), 284-304, 2020
72020
Multivariate and conditional density estimation using local Gaussian approximations
H Otneim
The University of Bergen, 2016
72016
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
Package ‘lg’
H Otneim, MH Otneim
R package version 0.4 1, 2019
52019
Bias and bandwidth for local likelihood density estimation
H Otneim, HA Karlsen, D Tjøstheim
Statistics & Probability Letters 83 (5), 1382-1387, 2013
52013
Using machine learning to predict patent lawsuits
S Juranek, H Otneim
NHH Dept. of Business and Management Science Discussion Paper, 2021
22021
Local Lead–Lag Relationships and Nonlinear Granger Causality: An Empirical Analysis
H Otneim, GD Berentsen, D Tjøstheim
Entropy 24 (3), 378, 2022
12022
lg: An R package for Local Gaussian Approximations
H Otneim
The R Journal, 2021
2021
Business Analytics Using R-A Practical Approach
H Otneim
Journal of Statistical Software 81, 1-6, 2017
2017
Non-parametric estimation of conditional densities: A new method
H Otneim, D Tjøstheim
arXiv preprint arXiv:1610.05035, 2016
2016
lg: An R package for Local Gaussian
H Otneim
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Articles 1–16