Multivariate measurement error models based on scale mixtures of the skew–normal distribution

By Victor Hugo Lachos, Filidor V. Labra, Heleno Bolfarine, Pulak Ghosh. 2010

47 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7ffe8bcf30b662b65a0ca9bb1d3fa0cef8777dca

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. Lorena Cáceres Tomaya
2. Mario Augusto Lopes de Castro

In Statistics and Probability

1. Lorena Cáceres Tomaya
2. Mario Augusto Lopes de Castro

Citations in the corpus

• A heteroscedastic measurement error model based on skew and heavy-tailed distributions with known error variances (2018, background): “Moreover, the distributions considered in [16] could also be adapted in an analogous way to this work.”