And Innovations In Statistics And Data... | Advances

: Using geometric interpretations of distance for learning finite Gaussian mixtures, which provides robustness against model mis-specifications.

: Used for skewed, truncated, or contaminated data with outliers. Advances and Innovations in Statistics and Data...

: Addressing identifiability and estimation in models where variables are measured with error, such as Autoregressive ARCH models . 2. Innovations in Data Science Practice : Using geometric interpretations of distance for learning

: Incorporating statistical methods like word embedding clustering to rank comments and analyze text-based feedback. Advances and Innovations in Statistics and Data...

: Innovating techniques for feature screening and variable selection in datasets where the number of variables far exceeds the number of observations.