1 citations · 1 across the 3 of their papers we have counts for
4 papers
Wrapped Distributions on homogeneous Riemannian manifolds
Fernando Galaz-Garcia, Marios Papamichalis, Kathryn Turnbull +2
We provide a general framework for constructing probability distributions on Riemannian manifolds, taking advantage of area-preserving maps and isometries. Control over distributio…
Robustness on Networks
Marios Papamichalis, Simon Lunagomez, Patrick J. Wolfe
We adopt the statistical framework on robustness proposed by Watson and Holmes in 2016 and then tackle the practical challenges that hinder its applicability to network models. The…
Lasso for hierarchical polynomial models
Hugo Maruri-Aguilar, Simon Lunagomez
In a polynomial regression model, the divisibility conditions implicit in polynomial hierarchy give way to a natural construction of constraints for the model parameters. We use th…
Evaluating and Optimizing Network Sampling Designs: Decision Theory and Information Theory Perspectives
Simón Lunagómez, Marios Papamichalis, Patrick J. Wolfe +1
Some of the most used sampling mechanisms that implicitly leverage a social network depend on tuning parameters; for instance, Respondent-Driven Sampling (RDS) is specified by the…