Gaussian graphical modeling for spectrometric data analysis

Motivated by the analysis of spectrometric data, a Gaussian graphical model for learning dependence structure among frequency bands infrared absorbance spectrum is introduced. The spectra are modeled as continuous functional data through B-spline basis expansion and assumed prior specification smoothing coefficients to induce sparsity in their precision matrix . Bayesian inference carried out simultaneously smooth curves estimate conditional independence between portions domain. proposed applied strawberry purees.