Research map / Probabilistic and scientific modeling / Uncertainty and Gaussian processes
Bayesian online change point detection with Hilbert space approximate Student-t process
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Replace GP UPM with Student-t process UPM (Hilbert space reduced-rank) | BOCPD UPM · Nile, Well Log, Bee Waggle, Whistler Snowfall | negative log likelihood | Helped |
| Replace GP UPM with Hilbert space Student-t process UPM | Whistler Snowfall | MSE | Helped |
| Hilbert space reduced-rank approximation of the TP vs full-rank GP-AR | Well Log Data training time · Well Log Data | training time: 659.20 s vs 13,610.75 s for GPAR-CP | Helped |
| Hilbert space reduced-rank approximation for GP UPM (HSGPAR vs GPAR) | Nile Data NLL · Nile Data | negative log likelihood: 1.1480 vs 1.1481 | No clear effect |
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