65 citations · 101 across the 11 of their papers we have counts for
3 papers · 1 filter
Efficient comparison of independence structures of log-linear models
Jan Strappa, Facundo Bromberg
Log-linear models are a family of probability distributions which capture relationships between variables. They have been proven useful in a wide variety of fields such as epidemio…
The Grow-Shrink strategy for learning Markov network structures constrained by context-specific independences
Alejandro Edera, Yanela Strappa, Facundo Bromberg
Markov networks are models for compactly representing complex probability distributions. They are composed by a structure and a set of numerical weights. The structure qualitativel…
Efficient Markov Network Structure Discovery Using Independence Tests
Facundo Bromberg, Dimitris Margaritis, Vasant Honavar
We present two algorithms for learning the structure of a Markov network from data: GSMN* and GSIMN. Both algorithms use statistical independence tests to infer the structure by su…