Advances And Innovations In Statistics And Data... -

: Developing valid statistical inference methods after a model has been selected through data-driven techniques, such as the Cosine Distribution in Least Angle Regression. Advanced Regression Models :

: Handling incomplete functional observations. 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. : Developing valid statistical inference methods after a

: Using geometric interpretations of distance for learning finite Gaussian mixtures, which provides robustness against model mis-specifications. Advances and Innovations in Statistics and Data...

: Advancing efficient design for regularized linear models, ensuring that data collection is optimized for specific analytical goals. 3. Critical Applications

Modern statistics has shifted toward handling unprecedented data complexity and dimensionality.