Bayesian calibration, process modeling and uncertainty quantification in biotechnology
Fig 2
Relationship of independent and dependent variable.
The distribution of measurement responses (dependent variable) can be modeled as a function of the independent variable. This measurement response probability distribution (here: Student-t) is parametrized by its parameters the mean μ (solid green line) and spread parameters σ and ν. Some or all of the distributions parameters are modeled as a function of the independent variable.