Fig. 9From: A new Bayesian piecewise linear regression model for dynamic network reconstructionResults for real yeast data with fixed changepoints. We imposed \(K\in \{1,\ldots ,5\}\) changepoints and kept them fixed. K changepoints yield \(H=K+1\) segments. For each K we used the first changepoint to separate the two parts of the time series (galactose vs. glucose metabolism). Successively we located the next changepoint in the middle of the longest segment to divide it into 2 segments, until K changepoints were set. a Diagnostic for the partially coupled model (M3): The bars give the posterior probabilities \(p(\delta _h=1|\mathcal {D})\) that segment h is coupled to \(h-1\) (\(h=2,\ldots ,K+1\)) for target gene ASH1. b Diagnostic for the generalised coupled model (M4): In each panel there is a boxplot for each segment \(h=2,\ldots ,K+1\) showing the distributions of the logarithmic coupling parameters \(\lambda _h\) for target gene ASH1Back to article page