Population Monte Carlo for Ion Channel Restoration
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(232) 13. 0.0. 0.2. 0.4. 0.6. 0.8. 1.0. Population Monte Carlo for ion channel restoration. 1000. 2000. 3000. 0. 1000. 2000. 3000. −2. 0. 2. 4. 0. $. <¡ Èy¢ Fig. 8. Representation of a dataset of simulated values, along with the average fit (bottom), and average probabilities of allocation to the upper state (top). This fit was obtained using a sequential £7¢7¢<¢ tuning scheme and MCMC iterations in the final run.. . . . . #$ . . . ½@ÉSÁ YÁ@ r¿i'.À<½BÁ ºÈ* <¡<¡ F¼ + .s º.ÀyÀ A'.** 7W.7 >ÀÀs º.À >'.À<> F >>.L º+ . .[ ÆH+ À> *Á-¸#> «<® ±³q«7ª µ #°>ªI«7ªg¬ ±+ª ½:Èy£<£ Èy£7¡ Á 0 z @ *>À>g½#ÁÀ½#@' ºy½ fÁÀ½ ÀÀ *½ fÁ fÁÀ½#7 OÉV .
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(235) Cappe´ et al. µ1. µ1 2.190. µ2. −0.02. 0.00. 0.02. 0.04. 0.06. 2.180. 0.035. 0.08. 2.10. 2.15. 2.20. 2.25. (µ0 − µ1) σ. σ. 2.170. −0.04. 0.025. 0. 0. 5. 5. 10. 15. 15. 25. 20. µ0. 0.045. 14. 1000. 2000. 0.60. 0.62. −2.95. −2.90. −2.85. −2.75. −2.70. 8. 0. 6. 60. 2000. 3000. 4000. 5000. 3000. 4000. 5000. 5000. λ1. 0.566. 12. 100. −2.80. λ1. 1000. 0.024. 0.578. −3.00. λ0. 1000. 2000. 3000. 4000. 5000. 0. 1000. 2000. 4. λ2. s1. 0.04. 0.05. 0.05. 0.10. 0.15. 0.20. 0.25. 0.30. s1. 10. 1.2 0.10. 1.0. 20. 2.0. 30. 3.0. s0. 1.4. 0.03. 1.0. 0.02. 0.12. 0.01. 1.6. 0.14. 0. 0. 2. 20. 0. 0.020. 0.58. 5000. 0.016. 0.56. 4000. 0.570. 0.54. 3000. σ. 0.574. 0. 0. 2. 10. 4. 20. 6. 30. 8. 0. 1000. 2000. 3.0. 3. 4. 5. 6. 7. 8. 9. s1 λ1. 3000. 4000. 5000. 3000. 4000. 5000. 60. 70. 80. 90. 100. 25. 30. 35. 40. 2000. 3000. 4000. 0. 200. 400. 600. 800. 74 70. 2.5. 110. 1000. 72. 3.0. 0.10 0.00. 0.02 0.00. 50. 0. s2. 3.5. 0.04. 0.20. s 0 λ0. 2. 78. 2.5. 76. 2.0. 4.5. 1.5. 4.0. 0. 0.0. 0. 1.0. 0. 1000. 2000. Fig. 9. Details of the MCMC sample for the dataset of Figure 8: (left) histograms of the components of the MCMC sample and (right) cumulative averages for the parameters of the models and evolution of the number of switches.. µ1. σ2. 0.00. 0.05. 0.60. mcmc. 0.54 0.52. 0.10. 2.10. 2.15. 2.20. particles. particles. λ0. λ1. 2.25. 0.55. 0.60. 0.65. particles. 1.5. mcmc. 1.0. 0.03 0.01. 0.5. 0.02. mcmc. 0.04. 2.0. 0.05. 2.5. 0.06. −0.05. 0.58 0.56. mcmc. 2.15 2.05. −0.05. 2.10. 0.00. mcmc. 2.20. 0.05. 0.62. 2.25. 0.64. 0.10. 0.66. µ0. 0.01. 0.02. 0.03 particles. 0.04. 0.05. 0.5. 1.0. 1.5. 2.0. 2.5. particles. Fig. 10. QQ-plot comparing the distribution of the particle system with the distribution of the MCMC £7¢7¢<¢ sample obtained after iterations started at the particles.. 1000.
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