Category
Sensitivity analysis
Related lectures (75)
Propagation of Uncertainty: Probability Density Function
Covers the propagation of uncertainty through the generation of probability density functions.
Thermodynamics in Metabolic Pathways
Delves into applying thermodynamics in metabolic pathways, discussing constraints, bi-directional reactions, and estimation methods.
Propagation of Uncertainty: Model Measurements
Covers the propagation of uncertainty in model measurements and the importance of understanding errors.
Bayesian Inference: Error Minimization
Discusses error minimization in Bayesian inference and the importance of prior knowledge in the inference process.
Propagation of Uncertainty II
Explores the propagation of uncertainty in correlated variables and extreme correlations, Tchebychev inequality, confidence intervals, and Taylor series development.
Uncertainty Analysis in LCAMOOC: Analyse du cycle de vie environmental
Explores uncertainty analysis in Life Cycle Assessment, covering sensitivity, probability functions, parameter estimation, pedigree approach, and uncertainty propagation.
Uncertainty Sources in LCAMOOC: Analyse du cycle de vie environmental
Explores uncertainty sources in Life Cycle Assessment, emphasizing the need for accurate data and precise measurements.
Real World Games: Negotiation Strategies
Delves into real-world games, negotiation strategies, and optimal agreements beyond Nash equilibrium.
Measurement Principles: Calibration and Sensitivity Examples
Discusses measurement principles through examples of calibration, sensitivity, and optical measurement techniques.
Optimization and Simulation
Explores optimization, simulation, data analysis, and the importance of considering more than just the mean in engineering systems.