The SSIT allows users to specify and solve the Chemical Master Equation (CME) for discrete stochastic models, especially those used for the analysis of single-cell gene regulaton. Inform and improve ...

A MATLAB package for prototyping integral equation methods in two dimensions. While chunkie is primarily intended as a proto-typing or pedagogical tool, it is designed to be reasonably efficient and ...

System identification learns models of dynamical systems from input–output measurements. Estimated models should generalize by predicting system’s output responses to new, previously unseen inputs.

Boston Children’s Hospital and Harvard Medical School, Boston, USA. Since the introduction of coronavirus circa late 2019 (COVID-19), the sentient world has been subjected to media reports with curves ...

The drift-diffusion model (DDM) is an important decision-making model in cognitive neuroscience. However, innovations in model form have been limited by methodological challenges. Here, we introduce ...

Time-series can provide critical insights into the structure and function of microbial communities. The analysis of temporal data warrants statistical considerations, distinct from comparative ...

This article presents an elementary derivation of Kalman filtering, a classic state estimation technique. Understanding Kalman filtering is useful for more principled control of computer systems.

To give you experience solving larger, more difficult problems involving multiple concepts, there will be three computer-based projects assigned during the semester. Suggested software is Matlab, ...