Modeling and Inverse Problems in the Presence of Uncertainty

ISBN-13: 9780367378752 / Angielski / Miękka / 2019 / 408 str.

H. T. Banks; Shuhua Hu; W. Clayton Thompson

Opis

This book collects recent research—including the authors’ own substantial projects—on uncertainty propagation and quantification. It covers two sources of uncertainty: where uncertainty is present primarily due to measurement errors and where uncertainty is present due to the modeling formulation itself. With many examples throughout addressing problems in physics, biology, and other areas, the book is suitable for applied mathematicians as well as scientists in biology, medicine, engineering, and physics.

Spis treści

Introduction. Probability and Statistics Overview. Mathematical and Statistical Aspects of Inverse Problems. Model Comparison Criteria. Estimation of Probability Measures Using Aggregate Population Data. Optimal Design. Propagation of Uncertainty in a Continuous Time Dynamical System. A Stochastic System and Its Corresponding Deterministic System. Frequently Used Notations and Abbreviations. Index.

O autorze

Banks, H. T.; Hu, Shuhua; Thompson, W. Clayton