Bayesian identifiability and misclassification in multinomial data

By Tim B. Swartz, Yoel Haitovsky, Albert Vexler, Tae Y. Yang. 2004

60 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/91e609807a677122e9c10024b1628227d805725c

How researchers see this paper

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

In Artificial Intelligence

1. Michel Verleysen
2. Benoît Frénay
3. Jacob Goldberger
4. P. Shanti Sastry
5. Himanshu Kumar
6. Ehud Ben-Reuven
7. Rebecca Hwa
8. Omid Kashefi

In Economics and Econometrics

1. Michel Verleysen
2. Benoît Frénay

In Statistics and Probability

1. Michel Verleysen
2. Benoît Frénay

Citations in the corpus

• Classification in the Presence of Label Noise: A Survey (2014, methodology): “g 1) priors on the mislabelling probabilities [5], [122], [227], [228] like Beta priors [5], [128], [229], [230], [232]–[236] and Dirichlet priors [237], [238], 2) Bayesian methods for logistic regression [130], [236], [239]–[241], hidden Markov models [84] and graphical models [242] and 3) procedur”