Figure 4From: Parameter estimation for robust HMM analysis of ChIP-chip dataModel performance for different choices of ν. The Baum-Welch model (red) performs better for relatively small values of ν while Viterbi training (blue) favours larger ν. For the optimal choice of ν the Baum-Welch parameter estimates lead to an optimal cut-off close to 0.5.Back to article page