Information-theoretic multi-time-scale partially observable systems with inspiration from leukemia treatment

TL;DR

This paper investigates a complex partially observable stochastic system with multiple time scales, inspired by leukemia treatment, aiming to improve understanding and management of such systems.

Contribution

It introduces a novel framework for analyzing multi-time-scale partially observable systems with unknown parameters, inspired by disease management scenarios.

Findings

New theoretical model for multi-time-scale systems

Insights into disease management strategies

Potential applications in leukemia treatment

Abstract

We study a partially observable nonlinear stochastic system with unknown parameters, where the given time scales of the states and measurements may be distinct. The proposed setting is inspired by disease management, particularly leukemia.