2 citations · 3 across the 3 of their papers we have counts for
4 papers
Optimal study interior partitioning (OSIP): An optimization approach to observational study design under fine balance constraints
Ron Adar, Asaf Levin
Covariate matching between treatment and control groups remains a foundational methodology in observational causal inference, designed to replicate the covariate balance of randomi…
An algorithm for the weighted metric dimension of two-dimensional grids
Ron Adar, Leah Epstein
A two-dimensional grid consists of vertices of the form (i,j) for 1 \leq i \leq m and 1 \leq j \leq n, for fixed m,n > 1. Two vertices are adjacent if the \ell_1 distance between t…
The weighted 2-metric dimension of trees in the non-landmarks model
Ron Adar, Leah Epstein
Let T=(V,E) be a tree graph with non-negative weights defined on the vertices. A vertex z is called a separating vertex for u and v if the distances of z to u and v are not equal.…
Models for the k-metric dimension
Ron Adar, Leah Epstein
For an undirected graph G=(V,E), a vertex x \in V separates vertices u and v (where u,v \in V, u \neq v) if their distances to x are not equal. Given an integer parameter k \geq 1,…