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Collaborations and top research areas from the last five years
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Quantifying Uncertainty of Portfolios using Bayesian Neural Networks
Esener, S., Wegner, E., Almeida, R. J., Bastürk, N. & Rodrigues, P., Jun 2024, 2024 International Joint Conference on Neural Networks, IJCNN 2024 - Proceedings. IEEE, p. 1-8 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
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Transmission Channel Analysis in Dynamic Models
Wegner, E., Lieb, L., Smeekes, S. & Wilms, I., 29 May 2024, Cornell University - arXiv, 53 p. (arXiv.org; No. 2405.18987).Research output: Working paper / Preprint › Preprint
Open Access23 Downloads (Pure)
Datasets
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Transmission Channel Analysis
Wegner, E. (Creator), Lieb, L. (Contributor), Smeekes, S. (Contributor) & Wilms, I. (Contributor), GitHub.com, 7 Jun 2025
https://github.com/enweg/TransmissionChannelAnalysis.jl and 2 more links, https://github.com/enweg/tca-matlab-toolbox, https://enweg.github.io/tca-website (show fewer)
Dataset/Software: Software
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bigtime: Sparse Estimation of Large Time Series Models
Wilms, I. (Creator), Matteson, D. S. (Contributor), Bien, J. (Contributor), Basu, S. (Contributor), Nicholson, W. (Contributor) & Wegner, E. (Contributor), The Comprehensive R Archive Network, 21 Aug 2023
DOI: 10.32614/CRAN.package.bigtime, https://cran.r-project.org/package=bigtime
Dataset/Software: Software