Causal stability selection produces effect-modifier sets with explicit non-asymptotic false-positive bounds by combining cross-fitted CATE estimation and integrated path stability selection.
Journal of the American Statistical Association , volume=
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A new ℓ1-regularized mixture asymmetric IRT framework jointly recovers latent classes for impact and selects DIF items without group labels or anchors, as shown in simulations and two educational datasets.
A Group Fused LASSO plus LASSO approach with adaptive weights detects change points in piecewise-constant sparse covariance matrices and yields consistent estimators under stated conditions.
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Latent Impact and Differential Item Functioning Analysis for Asymmetric IRT Models
A new ℓ1-regularized mixture asymmetric IRT framework jointly recovers latent classes for impact and selects DIF items without group labels or anchors, as shown in simulations and two educational datasets.
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Change-point detection in variance-covariance matrix
A Group Fused LASSO plus LASSO approach with adaptive weights detects change points in piecewise-constant sparse covariance matrices and yields consistent estimators under stated conditions.