Linear mixed-effects models are a powerful tool for modelling longitudinal data and are widely used in practice. For a given set of covariates in a linear mixed-effects model, selecting the covariance ...

We study the profile-kernel and backfitting methods in partially linear models for clustered/longitudinal data. For independent data, despite the potential root-n inconsistency of the backfitting ...

Specialization: Data Science Foundations: Data Structures and AlgorithmsInstructor: Sriram Sankaranarayanan, Assistant ProfessorPrior knowledge needed: Mathematical Background: We expect that the ...

Arrays are among the most common data structures. An array can store a series of data values in a linear structure, with each element accessed using its index position within the data.

The CALIS procedure (Covariance Analysis and Linear Structural Equations) in SAS/STAT software estimates parameters and tests the appropriateness of linear structural equation models using covariance ...