A Skew-Normal Mixture Regression Model

By Min Liu, Tsung-I Lin. 2014

46 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/4716ab22626372f6ec355aa14db2760e16a6530d

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. Camila Borelli Zeller
2. Victor Hugo Lachos
3. Celso Rômulo Barbosa Cabral

In Statistics and Probability

1. Camila Borelli Zeller
2. Victor Hugo Lachos
3. Celso Rômulo Barbosa Cabral

Citations in the corpus

• Robust mixture regression modeling based on scale mixtures of skew-normal distributions (2015, methodology): “Following the method proposed by Liu and Lin (2014), to assess the quality of the classification function of each mixture model, an index measure was used in the current study, called correct classification rate (CCR), which is based on Fitted model ACCR Scenario 1 Scenario 2 Condition examined AIC…”