791 citations · 1.8k across the 42 of their papers we have counts for
7 papers · 1 filter
models for random hypergraphs with a given degree sequence
Despina Stasi, Kayvan Sadeghi, Alessandro Rinaldo +2
We introduce the beta model for random hypergraphs in order to represent the occurrence of multi-way interactions among agents in a social network. This model builds upon and gener…
From Statistical Evidence to Evidence of Causality
Philip Dawid, Monica Musio, Stephen E. Fienberg
While statisticians and quantitative social scientists typically study the "effects of causes" (EoC), Lawyers and the Courts are more concerned with understanding the "causes of ef…
Maximum likelihood estimation in log-linear models
Stephen E. Fienberg, Alessandro Rinaldo
We study maximum likelihood estimation in log-linear models under conditional Poisson sampling schemes. We derive necessary and sufficient conditions for existence of the maximum l…
On the Existence of the MLE for a Directed Random Graph Network Model with Reciprocation
A. Rinaldo, S. Petrović, S. E. Fienberg
Holland and Leinhardt (1981) proposed a directed random graph model, the p1 model, to describe dyadic interactions in a social network. In previous work (Petrovic et al., 2010), we…
Algebraic statistics for a directed random graph model with reciprocation
Sonja Petrović, Alessandro Rinaldo, Stephen E. Fienberg
The p_1 model is a directed random graph model used to describe dyadic interactions in a social network in terms of effects due to differential attraction (popularity) and expansiv…
Comment: Complex Causal Questions Require Careful Model Formulation: Discussion of Rubin on Experiments with "Censoring" Due to Death
Stephen E. Fienberg
Comment on Complex Causal Questions Require Careful Model Formulation: Discussion of Rubin on Experiments with ``Censoring'' Due to Death [math.ST/0612783]
Privacy and Confidentiality in an e-Commerce World: Data Mining, Data Warehousing, Matching and Disclosure Limitation
Stephen E. Fienberg
The growing expanse of e-commerce and the widespread availability of online databases raise many fears regarding loss of privacy and many statistical challenges. Even with encrypti…