Multivariate Classification Rules: Calibration and Discrimination

By Christopher H. Schmid, J. Griffith. 2005

50 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/23b35470f06c2fbe1a46a8240ef70f66c258372a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Leonhard Held
2. Malgorzata Roos

In Artificial Intelligence

1. Leonhard Held
2. Malgorzata Roos
3. Martyn Plummer
4. Håvard Rue
5. Alain Oliviero Durmus
6. Eric Moulines
7. Andrea Riebler
8. Mohammad Emtiyaz Khan

In Statistics and Probability

1. Antonio López-Quílez
2. David Valentin Conesa
3. Jose M. Bellido
4. Maria Grazia Pennino
5. Facundo Muñoz
6. Leonhard Held
7. Malgorzata Roos
8. Håvard Rue

Citations in the corpus

• Estimation and prediction of the spatial occurrence of fish species using Bayesian latent Gaussian models (2013, methodology): “Additionally, the Conditional Predictive Ordinate (CPO, Geisser 1993) is defined as the cross-validated predictive density at a given observation, and can be used to compute predictive measures such as the logarithmic score (Gneiting and Raftery 2007) or the cross-validated mean Brier Score (Schmid ”
• Sensitivity analysis in Bayesian generalized linear mixed models for binary data (2011, methodology): “249, a natural reference value (Schmid and Griffith, 2005).”