In section 1.6 Constrained interval unscented Kalman filter Markov chain Monte Carlo (CIUKF-MCMC) of the Materials and Methods section, there is an error in Theorem 1. Specifically, in several of the equations in the theorem, some of the indices on x and y in the exponents are incorrect. Please find the correct theorem below;
Theorem 1 (Marginal likelihood (Theorem 1 of [26] and 12.1 of [67])) Let yk denote the set of all observations up to time tk as defined in Section 1.2. Let the initial condition be uncertain with distribution p (x0|θ). Then the marginal likelihood is defined recursively in three stages:
for k = 1,2,…
Reference
- 1. Linden NJ, Kramer B, Rangamani P (2022) Bayesian parameter estimation for dynamical models in systems biology. PLoS Comput Biol 18(10): e1010651. https://doi.org/10.1371/journal.pcbi.1010651 pmid:36269772
Citation: Linden NJ, Kramer B, Rangamani P (2023) Correction: Bayesian parameter estimation for dynamical models in systems biology. PLoS Comput Biol 19(4): e1011041. https://doi.org/10.1371/journal.pcbi.1011041
Published: April 5, 2023
Copyright: © 2023 Linden et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.