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SOTA2 Research · papers
Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.
| Covariance estimation for multivariate conditionally Gaussian dynamic linear models |
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| K. Triantafyllopoulos |
| 2008 |
| arxiv 0802.0191 |
| Forecasting with time-varying vector autoregressive models | K. Triantafyllopoulos | 2008 | arxiv 0802.0220 |
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| Multivariate stochastic volatility with Bayesian dynamic linear models | K. Triantafyllopoulos | 2008 | arxiv 0802.0214 |
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| Multivariate stochastic volatility using state space models | K. Triantafyllopoulos | 2008 | arxiv 0802.0223 |
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| A Simplified Approach to modeling the credit-risk of CMO | K. Rajaratnam | 2009 | arxiv 0903.1643 |
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| Multivariate stochastic volatility modelling using Wishart autoregressive processes | K. Triantafyllopoulos | 2013 | arxiv 1311.0530 |
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| VecAmpFit: vectorized amplitude-analysis fitting library | K. Chilikin | 2026 | arxiv 2603.20066 |
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| Learning in Function Spaces: An Unified Functional Analytic View of Supervised and Unsupervised Learning | K. Lakshmanan | 2026 | arxiv 2603.14272 |
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| A Short Survey of Averaging Techniques in Stochastic Gradient Methods | K. Lakshmanan | 2026 | arxiv 2603.09634 |
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