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Dag Tjøstheim
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2020 – today
- 2022
- [j9]Håkon Otneim, Geir Drage Berentsen, Dag Tjøstheim:
Local Lead-Lag Relationships and Nonlinear Granger Causality: An Empirical Analysis. Entropy 24(3): 378 (2022) - 2021
- [i1]Dag Tjøstheim, Martin Jullum, Anders Løland:
Statistical embedding: Beyond principal components. CoRR abs/2106.01858 (2021)
2010 – 2019
- 2018
- [j8]Håkon Otneim, Dag Tjøstheim:
Conditional density estimation using the local Gaussian correlation. Stat. Comput. 28(2): 303-321 (2018) - 2017
- [j7]Håkon Otneim, Dag Tjøstheim:
The locally Gaussian density estimator for multivariate data. Stat. Comput. 27(6): 1595-1616 (2017) - 2014
- [j6]Geir Drage Berentsen, Dag Tjøstheim:
Recognizing and visualizing departures from independence in bivariate data using local Gaussian correlation. Stat. Comput. 24(5): 785-801 (2014) - 2011
- [j5]Konstantinos Fokianos, Dag Tjøstheim:
Log-linear Poisson autoregression. J. Multivar. Anal. 102(3): 563-578 (2011)
1990 – 1999
- 1998
- [c1]Dag Tjøstheim:
Exploring Time Series Using Semi- and Nonparametric Methods. COMPSTAT 1998: 125-136
1970 – 1979
- 1979
- [j4]Dag Tjøstheim, Ottar Sandvin:
Multivariate Autoregressive Feature Extraction and the Recognition of Multichannel Waveforms. IEEE Trans. Pattern Anal. Mach. Intell. 1(1): 80-86 (1979) - 1977
- [j3]Dag Tjøstheim:
Recognition of Waveforms Using Autoregressive Feature Extraction. IEEE Trans. Computers 26(3): 268-270 (1977) - 1976
- [j2]Dag Tjøstheim, John B. Thomas:
On a class of nonstationary random processes. Inf. Sci. 10(2): 175-186 (1976) - 1975
- [j1]Dag Tjøstheim, John B. Thomas:
Some properties and examples of random processes that are almost wide sense stationary. IEEE Trans. Inf. Theory 21(3): 257-262 (1975)
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