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Table 2 Change points inferred for noisy synthetic images. The true value of change point is \(t_{0} = 0.50\) where solid circles change into hollow circles with different levels of noise

From: Leveraging change point detection to discover natural experiments in data

Noise 0.20 0.40 0.60 0.80 1.00
\(\mu (t_{0})\) 0.5048 0.5087 0.5253 0.5155 0.5380
\(\mu (t_{0})-t_{0}\) 0.0047 0.0086 0.0237 0.0191 0.0398
\(\sigma (t_{0})\) 0.0028 0.0043 0.0027 0.0111 0.0246
μ(α) 0.9612 0.9787 0.9298 0.9609 0.8781
σ(α) 0.0278 0.0139 0.0083 0.0361 0.0717