activity
20112024
most citedTo Explain or to Predict?

2.5k citations · 2.5k across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.CO2024★ 3 cited

Towards a multi-tracer neutrino mass measurement with line-intensity mapping

Gali Shmueli, Sarah Libanore, Ely D. Kovetz

Accurately determining neutrino masses is a main objective of contemporary cosmology. Since massive neutrinos affect structure formation and evolution, probes of large scale struct…

astro-ph.CO2023

Mitigating the optical depth degeneracy in the cosmological measurement of neutrino masses using 21-cm observations

Gali Shmueli, Debanjan Sarkar, Ely D. Kovetz

Massive neutrinos modify the expansion history of the universe and suppress the structure formation below their free streaming scale. Cosmic microwave background (CMB) observations…

stat.ME2020

A Tree-based Semi-Varying Coefficient Model for the COM-Poisson Distribution

Suneel Babu Chatla, Galit Shmueli

We propose a tree-based semi-varying coefficient model for the Conway-Maxwell- Poisson (CMP or COM-Poisson) distribution which is a two-parameter generalization of the Poisson dist…

stat.ML2019★ 1 cited

Lift Up and Act! Classifier Performance in Resource-Constrained Applications

Galit Shmueli

Classification tasks are common across many fields and applications where the decision maker's action is limited by resource constraints. In direct marketing only a subset of custo…

stat.ME2011★ 2.5k cited

To Explain or to Predict?

Galit Shmueli

Statistical modeling is a powerful tool for developing and testing theories by way of causal explanation, prediction, and description. In many disciplines there is near-exclusive u…