Dag Tjøstheim

12 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Selected Topics in Time Series Forecasting: Statistical Models vs. Machine Learning.
Entropy
Dag Tjøstheim
2022 J jnl
Local Lead-Lag Relationships and Nonlinear Granger Causality: An Empirical Analysis.
Entropy
Håkon Otneim, Geir Drage Berentsen, Dag Tjøstheim
2021 J jnl
Statistical embedding: Beyond principal components.
CoRR
Dag Tjøstheim, Martin Jullum, Anders Løland
2018 J jnl
Conditional density estimation using the local Gaussian correlation.
Stat. Comput.
Håkon Otneim, Dag Tjøstheim
2017 J jnl
The locally Gaussian density estimator for multivariate data.
Stat. Comput.
Håkon Otneim, Dag Tjøstheim
2014 J jnl
Recognizing and visualizing departures from independence in bivariate data using local Gaussian correlation.
Stat. Comput.
Geir Drage Berentsen, Dag Tjøstheim
2011 J jnl
Log-linear Poisson autoregression.
J. Multivar. Anal.
Konstantinos Fokianos, Dag Tjøstheim
1998 — conf
Exploring Time Series Using Semi- and Nonparametric Methods.
COMPSTAT
Dag Tjøstheim
1979 J jnl
Multivariate Autoregressive Feature Extraction and the Recognition of Multichannel Waveforms.
IEEE Trans. Pattern Anal. Mach. Intell.
Dag Tjøstheim, Ottar Sandvin
1977 J jnl
Recognition of Waveforms Using Autoregressive Feature Extraction.
IEEE Trans. Computers
Dag Tjøstheim
1976 J jnl
On a class of nonstationary random processes.
Inf. Sci.
Dag Tjøstheim, John B. Thomas
1975 J jnl
Some properties and examples of random processes that are almost wide sense stationary.
IEEE Trans. Inf. Theory
Dag Tjøstheim, John B. Thomas