Selective inference addresses the problem of drawing valid conclusions after a data-driven selection of models or features. Traditional inferential procedures assume that the model under consideration ...

Let’s start with a definition of Applied Statistics: Applied Statistics is the root of data analysis. The practice of applied statistics involves analyzing data to help define and determine an ...

Extreme value analysis deals with the statistical modelling of rare or extreme observations drawn from complex systems. It encompasses two principal frameworks: the block maxima approach, where maxima ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...