: Techniques for data that represent parts of a whole (proportions or percentages), including specialized R packages .
Recent innovations are primarily driven by real-world challenges in health and environmental sciences. Advances and Innovations in Statistics and Data Science 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 : : Techniques for data that represent parts of
: Innovating techniques for feature screening and variable selection in datasets where the number of variables far exceeds the number of observations. Advanced Regression Models : : Innovating techniques for
: Addressing identifiability and estimation in models where variables are measured with error, such as Autoregressive ARCH models . 2. Innovations in Data Science Practice
Modern statistics has shifted toward handling unprecedented data complexity and dimensionality.