Lecture 26a State Space: Unequal Time & Nonlinear Models
Channel: Michael Dietze
Date: 2020-04-09

Boston University EE509 "Applied Environmental Statistics" Course: In this, the fourth lecture in our time-series models, we continue our exploration of state-space models focusing on two specific cases: unequal sampling intervals and nonlinear process model. Using the example of Black Noddy populations we explore the ability to set observation error on a point-by-point basis and the two options for how to model unequal intervals: by treating intermediate times as missing data or by adjusting out process model and process error. Using the example of Bialowieza moose we explore modeling population dynamics with a nonlinear logistic growth model.  http://people.bu.edu/dietze/Bayes2020/EE509.htm