7 citations · 20 across the 16 of their papers we have counts for
4 papers · 1 filter
When to Trust Confidence Thresholding: Calibration Diagnostics for Pseudo-Labelled Regression
Marcell T. Kurbucz
Calibrated probability outputs of trained classifiers are increasingly used as inputs to downstream regression estimands such as effects, prevalences, or disparities for a latent g…
Identification of Latent Group Effects under Conditional Calibration
Marcell T. Kurbucz
We study identification of a structural group effect when the group indicator is unobserved but the analyst observes a calibrated probability score satisfying $E[…
Eigenvalue-Based Randomness Test for Residual Diagnostics in Panel Data Models
Marcell T. Kurbucz, Betsabé Pérez Garrido, Antal Jakovác
This paper introduces the Eigenvalue-Based Randomness (EBR) test - a novel approach rooted in the Tracy-Widom law from random matrix theory - and applies it to the context of resid…
Unified Causality Analysis Based on the Degrees of Freedom
András Telcs, Marcell T. Kurbucz, Antal Jakovác
Temporally evolving systems are typically modeled by dynamic equations. A key challenge in accurate modeling is understanding the causal relationships between subsystems, as well a…