Research map / Time series / Causal and generative time series
Bayesian Alignments of Warped Multi-Output Gaussian Processes
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use AMO-GP instead of DGP | Artificial time series T1 · [0.7, 0.8] subset of T1 | test log-likelihood: 0.025 -> 1.54 | Helped |
| Use AMO-GP instead of GP | Artificial time series T2 · [0.35, 0.65] subset of T2 | test log-likelihood: -0.19 -> 0.72 | Helped |
| Use AMO-GP instead of DGP | Wind turbine time series T2 · [40, 45] subset of T2 | test log-likelihood: -1.80 -> -1.43 | Helped |
| Use AMO-GP instead of MO-GP | Wind turbine time series T2 · [65, 75] subset of T2 | test log-likelihood: -0.73 -> -0.69 | Helped |
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