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1.
Fig 8

Fig 8. The nonzero entries of β showing a circular structure.. From: Analysis of Feedback Mechanisms with Unknown Delay Using Sparse Multivariate Autoregressive Method.

Edward H. Ip, et al. PLoS One. 2015;10(8):e0131371.

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2.
Fig 2

Fig 2. Sample of 100 simulated curves with added Gaussian noise of σ = 0.1.. From: Analysis of Feedback Mechanisms with Unknown Delay Using Sparse Multivariate Autoregressive Method.

Edward H. Ip, et al. PLoS One. 2015;10(8):e0131371.

CitationFull text

3.
Fig 3

Fig 3. Observed values and fitted values based on estimates from FoBa for data without noise.. From: Analysis of Feedback Mechanisms with Unknown Delay Using Sparse Multivariate Autoregressive Method.

Edward H. Ip, et al. PLoS One. 2015;10(8):e0131371.

CitationFull text

4.
Fig 7

Fig 7. (a) The BICs of models with increasing n.. From: Analysis of Feedback Mechanisms with Unknown Delay Using Sparse Multivariate Autoregressive Method.

(b) The convergence of fix-effect estimates.

Edward H. Ip, et al. PLoS One. 2015;10(8):e0131371.

CitationFull text

5.
Fig 6

Fig 6. The 24-h BP data of a subsample of 50 subjects before and after intervention.. From: Analysis of Feedback Mechanisms with Unknown Delay Using Sparse Multivariate Autoregressive Method.

Edward H. Ip, et al. PLoS One. 2015;10(8):e0131371.

CitationFull text

6.
Fig 1

Fig 1. A simplified model (a) of Drosophilia circadian oscillator and (b) the output of the system as a function of time.. From: Analysis of Feedback Mechanisms with Unknown Delay Using Sparse Multivariate Autoregressive Method.

Fig 1(b) is a rendition of Fig 1A in [].

Edward H. Ip, et al. PLoS One. 2015;10(8):e0131371.

CitationFull text

7.
Fig 4

Fig 4. The mean and confidence interval of estimated ρ, shown as a single vector.. From: Analysis of Feedback Mechanisms with Unknown Delay Using Sparse Multivariate Autoregressive Method.

The vertical lines represent the positions of true nonzero values. The three panels (top to bottom) respectively show results for three levels of noise: σ = 0.01,0.05,0.1.

Edward H. Ip, et al. PLoS One. 2015;10(8):e0131371.

CitationFull text

8.
Fig 5

Fig 5. Observed and fitted values of two randomly selected samples (as rows) from each noise level σ = 0.01,0.05,0.1 respectively from the leftmost column to the rightmost column.. From: Analysis of Feedback Mechanisms with Unknown Delay Using Sparse Multivariate Autoregressive Method.

The observed data are represented in triangles (PER) and circles (dCLOCK), and the lines represent fitted values.

Edward H. Ip, et al. PLoS One. 2015;10(8):e0131371.

CitationFull text

9.
Fig 9

Fig 9. (a) The empirical correlations of SBP and DBP data, where the x-axis is the time lag, τ, and each circle represents the correlation between, for example, SBP t and DBP t − τ.. From: Analysis of Feedback Mechanisms with Unknown Delay Using Sparse Multivariate Autoregressive Method.

Because for a fixed τ there can be multiple ts depending on the availability of data, we can observe multiple circles at some τ.(b) The model-estimated correlations of SBP and DBP data. Because the model estimates are not limited by the availability of data, we have the same number of circles at each τ.

Edward H. Ip, et al. PLoS One. 2015;10(8):e0131371.

CitationFull text

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