3 papers
cs.CY2026
Healthcare LLM Benchmarks Are Only as Good as Their Explicit Assumptions
Naveen Raman, Santiago Cortes-Gomez, Mateo Dulce Rubio +2
Benchmarks are necessary for healthcare evaluation, but are not sufficient for predicting deployment performance. Our position is that the evaluation--deployment gap arises not bec…
stat.ME2026
Doubly Robust Machine Learning for Population Size Estimation with Missing Covariates: Application to Gaza Conflict Mortality
Mateo Dulce Rubio, Edward H. Kennedy, Nicholas P. Jewell
Population size estimation from capture-recapture data is central for studying hard-to-reach populations, incorporating auxiliary covariates to account for heterogeneous capture pr…
stat.ME2024
Population Size Estimation with Many Lists and Heterogeneity: A Conditional Log-Linear Model Among the Unobserved
Mateo Dulce Rubio, Edward Kennedy
We contribute a general and flexible framework to estimate the size of a closed population in the presence of capture-recapture lists and heterogeneous capture probabilities. O…