Models for bounded systems with continuous dynamics

  • Cangelosi A
  • Hooten M
  • 17


    Mendeley users who have this article in their library.
  • 13


    Citations of this article.


Models for natural nonlinear processes, such as population dynamics, have been given much attention in applied mathematics. For example, species competition has been extensively modeled by differential equations. Often, the scientist has preferred to model the underlying dynamical processes (i.e., theoretical mechanisms) in continuous time. It is of both scientific and mathematical interest to implement such models in a statistical framework to quantify uncertainty associated with the models in the presence of observations. That is, given discrete observations arising from the underlying continuous process, the unobserved process can be formally described while accounting for multiple sources of uncertainty (e.g., measurement error, model choice, and inherent stochasticity of process parameters). In addition to continuity, natural processes are often bounded; specifically, they tend to have nonnegative support. Various techniques have been implemented to accommodate nonnegative processes, but such techniques are often limited or overly compromising. This article offers an alternative to common differential modeling practices by using a bias-corrected truncated normal distribution to model the observations and latent process, both having bounded support. Parameters of an underlying continuous process are characterized in a Bayesian hierarchical context, utilizing a fourth-order Runge-Kutta approximation.

Author-supplied keywords

  • Bias correction
  • Differential equations
  • Hierarchical models
  • Numerical approximations
  • Population dynamics
  • Truncated normal

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document


  • Amanda R. Cangelosi

  • Mevin B. Hooten

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free