Improving calibration of forensic glass comparisons by considering uncertainty in feature-based elemental data Article

Ramos, Daniel, Maronas, Juan, Almirall, Jose. (2021). Improving calibration of forensic glass comparisons by considering uncertainty in feature-based elemental data . Chemometrics and Intelligent Laboratory Systems, 217 10.1016/j.chemolab.2021.104399

Open Access International Collaboration

cited authors

  • Ramos, Daniel; Maronas, Juan; Almirall, Jose

sustainable development goals

authors

publication date

  • October 15, 2021

published in

keywords

  • Automation & Control Systems
  • Chemistry
  • Chemistry, Analytical
  • Computer Science
  • Computer Science, Artificial Intelligence
  • EVIDENTIARY VALUE
  • FRAMEWORK
  • Forensic glass comparison
  • Heavy-tailed
  • Instruments & Instrumentation
  • LA-ICP-MS
  • LIKELIHOOD RATIOS
  • Likelihood ratio
  • Mathematics
  • Mathematics, Interdisciplinary Applications
  • OPINIONS
  • Physical Sciences
  • SCORE
  • Science & Technology
  • Statistics & Probability
  • Technology
  • Variational autoencoder
  • Warped Gaussian mixture

Digital Object Identifier (DOI)

volume

  • 217