activity
20222025
most citedCausal survival embeddings: non-parametric counterfactual inference under censoring

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2025

Distributional Random Forests for Complex Survey Designs

Yating Zou, Marcos Matabuena, Michael R. Kosorok

We study estimation of the conditional law and continuous measurable maps of it when takes values in a locally compact Polish space (e.g., $\mathbb…

stat.ME2025

Denoising Data with Measurement Error Using a Reproducing Kernel-Based Diffusion Model

Mingyang Yi, Marcos Matabuena, Zhiming Ma +1

Recent advancements in measurement technologies have facilitated the acquisition of high-resolution data in fields such as engineering, biology, and medicine. However, these observ…

stat.ME2024

Uncertainty quantification for intervals

Carlos García Meixide, Michael R. Kosorok, Marcos Matabuena

Data following an interval structure are increasingly prevalent in many scientific applications. In medicine, clinical events are often monitored between two clinical visits, makin…

math.ST2023★ 2 cited

Causal survival embeddings: non-parametric counterfactual inference under censoring

Carlos García-Meixide, Marcos Matabuena

Model-free time-to-event regression under confounding presents challenges due to biases introduced by causal and censoring sampling mechanisms. This phenomenology poses problems fo…

stat.ML2022★ 1 cited

Neural interval-censored survival regression with feature selection

Carlos García Meixide, Marcos Matabuena, Louis Abraham +1

Survival analysis is a fundamental area of focus in biomedical research, particularly in the context of personalized medicine. This prominence is due to the increasing prevalence o…