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Parameter Estimation in Mathematical Oncology - Lecture

Offered By: Fields Institute via YouTube

Tags

Parameter Estimation Courses Statistics & Probability Courses Data Analysis Courses Confidence Intervals Courses Bayesian Inference Courses Maximum Likelihood Estimation Courses Mathematical Oncology Courses

Course Description

Overview

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Explore parameter estimation techniques in this 1-hour 27-minute lecture by Thomas Hillen from the University of Alberta, part of the Graduate Course in Mathematical Oncology and Thematic Program on Mathematical Oncology at the Fields Institute. Delve into the fundamental concepts and methodologies used to estimate parameters in mathematical models, with a focus on applications in oncology. Gain insights into the challenges and strategies for accurately determining model parameters from experimental data, enhancing your understanding of how mathematical models can be calibrated and validated for use in cancer research and treatment planning.

Syllabus

Parameter estimation


Taught by

Fields Institute

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