1 citations · 1 across the 4 of their papers we have counts for
5 papers
Small area learning
Katarzyna Reluga, Nicola Salvati, Setareh Ranjbar +2
Small area estimation (SAE) traditionally borrows strength across domains through a prespecified working model. We introduce small area learning (SAL), a learner-agnostic framework…
The impact of job stability on monetary poverty in Italy: causal small area estimation
Katarzyna Reluga, Dehan Kong, Setareh Ranjbar +2
Job stability - encompassing secure contracts, adequate wages, social benefits, and career opportunities - is a critical determinant in reducing monetary poverty, as it provides ho…
New Bias Calibration for Robust Estimation in Small Areas
Setareh Ranjbar, Elvezio Ronchetti, Stefan Sperlich
Using sample surveys as a cost effective tool to provide estimates for characteristics of interest at population and sub-populations (area/domain) level has a long tradition in "sm…
Modelling the Extremes of Seasonal Viruses and Hospital Congestion: The Example of Flu in a Swiss Hospital
Setareh Ranjbar, Eva Cantoni, Valérie Chavez-Demoulin +3
Viruses causing flu or milder coronavirus colds are often referred to as "seasonal viruses" as they tend to subside in warmer months. In other words, meteorological conditions tend…
Causal Inferences in Small Area Estimation
Setareh Ranjbar, Nicola Salvati, Barbara Pacini
When doing impact evaluation and making causal inferences, it is important to acknowledge the heterogeneity of the treatment effects for different domains (geographic, socio-demogr…