On model coefficient estimation using Markov chain Monte Carlo simulations: A potential problem and the solution

► Potential problems of using MCMC for model parameter estimation are discussed. ► Marginal distribution mean/median may not coincide with estimates minimizing model error or maximizing the likelihood. ► Marginal distributions may over estimate model coefficient uncertainty. ► A Monte Carlo simulation for subsequent inference using MCMC output as input is recommended.