: Using geometric interpretations of distance for learning finite Gaussian mixtures, which provides robustness against model mis-specifications.
: Incorporating statistical methods like word embedding clustering to rank comments and analyze text-based feedback.
Modern statistics has shifted toward handling unprecedented data complexity and dimensionality. Advances and Innovations in Statistics and Data...
: Handling incomplete functional observations.
Recent innovations are primarily driven by real-world challenges in health and environmental sciences. Advances and Innovations in Statistics and Data Science : Using geometric interpretations of distance for learning
: Techniques for data that represent parts of a whole (proportions or percentages), including specialized R packages .
: Used for skewed, truncated, or contaminated data with outliers. 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.