activity
20142022
most citedHigh-dimensional variable selection via low-dimensional adaptive learning

11 citations · 15 across the 4 of their papers we have counts for

collaborators

6 papers

math.ST2022

Simultaneous Factors Selection and Fusion of Their Levels in Penalized Logistic Regression

Lea Kaufmann, Maria Kateri

Nowadays, several data analysis problems require for complexity reduction, mainly meaning that they target at removing the non-influential covariates from the model and at deliveri…

stat.ME2022★ 2 cited

Exact mediation analysis for ordinal outcome and binary mediator

Elena Stanghellini, Maria Kateri

With reference to a single mediator context, this brief report presents a model-based strategy to estimate counterfactual direct and indirect effects when the response variable is…

stat.ME2021★ 2 cited

A Metropolized adaptive subspace algorithm for high-dimensional Bayesian variable selection

Christian Staerk, Maria Kateri, Ioannis Ntzoufras

A simple and efficient adaptive Markov Chain Monte Carlo (MCMC) method, called the Metropolized Adaptive Subspace (MAdaSub) algorithm, is proposed for sampling from high-dimensiona…

stat.AP2019

Modeling long-term capacity degradation of lithium-ion batteries

Marcus Johnen, Simon Pitzen, Udo Kamps +2

Capacity degradation of lithium-ion batteries under long-term cyclic aging is modelled via a flexible sigmoidal-type regression set-up, where the regression parameters can be inter…

stat.CO2019★ 11 cited

High-dimensional variable selection via low-dimensional adaptive learning

Christian Staerk, Maria Kateri, Ioannis Ntzoufras

A stochastic search method, the so-called Adaptive Subspace (AdaSub) method, is proposed for variable selection in high-dimensional linear regression models. The method aims at fin…

math.ST2014

A Family of Quasisymmetry Models

Maria Kateri, Fatemeh Mohammadi, Bernd Sturmfels

We present a one-parameter family of models for square contingency tables that interpolates between the classical quasisymmetry model and its Pearsonian analogue. Algebraically, th…