Using Multiple Scaled Distributions For Outlier Detection - 
​​​​​​​This talk will present some recent developments in using multiple scaled distributions for outlier detection. In particular, this talk will summarize the development of two novel multiple scaled distributions with a focus on the model fitting procedures and key computational considerations made when attempting to implement these models. In an attempt to demonstrate some practical applications of these models, the key results from several simulation studies and real data analyses will be discussed.