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A flexible predictive density combination for large financial data sets in regular and crisis periods
(Journal article; Peer reviewed, 2023)A flexible predictive density combination is introduced for large financial data sets which allows for model set incompleteness. Dimension reduction procedures that include learning allocate the large sets of predictive ... -
Incorporating air temperature into mid-term electricity load forecasting models using time-series regressions and neural networks
(Journal article; Peer reviewed, 2023)One of the most controversial issues in the mid-term load forecasting literature is the treatment of weather. Because of the difficulty in obtaining precise weather forecasts for a few weeks ahead, researchers have, so ... -
Global political risk and international stock returns
(Peer reviewed; Journal article, 2023)Using novel measures of politics-policy uncertainty we document predictable variation in stock market returns across countries. Country characteristics and existing global and local risk factors do not account for such ... -
Impression Management Following Investigation and Prosecution Scandal in Norwegian Police: A Review of Press Releases
(Journal article; Peer reviewed, 2024)This article presents research regarding impression management following a white-collar investigation and prosecution scandal by the National Authority for Investigation and Prosecution of Economic and Environmental Crime ... -
Discriminative multimodal learning via conditional priors in generative models
(Journal article; Peer reviewed, 2023)Deep generative models with latent variables have been used lately to learn joint representations and generative processes from multi-modal data, which depict an object from different viewpoints. These two learning mechanisms ...
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