Modern statistical modelling is increasingly focused on reducing bias and enhancing the accuracy of parameter estimates. Traditional maximum likelihood estimation, while powerful, can encounter ...

This is a preview. Log in through your library . Abstract In recent years, sparse principal component analysis has emerged as an extremely popular dimension reduction technique for high-dimensional ...

Nonparametric estimation and U-statistics have emerged as vital tools in modern statistical analysis, offering robust alternatives to traditional parametric methods. Nonparametric techniques bypass ...

The Annals of Statistics, Vol. 23, No. 5 (Oct., 1995), pp. 1562-1581 (20 pages) The parametric statistical models with suitable regularity conditions have a natural Riemannian manifold structure, ...

DTSA 5001 Probability and Foundations for Data Science and AI - Same as APPA 5001 DTSA 5002 Statistical Estimation for Data Science and AI - Same as APPA 5003 DTSA 5003 Statistical Inference and ...

Solve Real-World Problems With Applied Statistics. Applied Statistics is the implementation of statistical methods, techniques, and theories to real-world problems and situations in several fields, ...