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Found 8 papers, 2 papers with code
Spectral Clustering with Variance Information for Group Structure Estimation in Panel Data
Consider a panel data setting where repeated observations on individuals are available.
Ranking and Selection from Pairwise Comparisons: Empirical Bayes Methods for Citation Analysis
We study the Stigler model of citation flows among journals adapting the pairwise comparison model of Bradley and Terry to do ranking and selection of journal influence based on nonparametric empirical Bayes procedures.
Identification of Dynamic Panel Logit Models with Fixed Effects
We show that the identification problem for a class of dynamic panel logit models with fixed effects has a connection to the truncated moment problem in mathematics.
Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors
This paper considers (partial) identification of a variety of counterfactual parameters in binary response models with possibly endogenous regressors.
Invidious Comparisons: Ranking and Selection as Compound Decisions
There is an innate human tendency, one might call it the "league table mentality," to construct rankings.
Learning big Gaussian Bayesian networks: partition, estimation, and fusion
Structure learning of Bayesian networks has always been a challenging problem.
Learning Large-Scale Bayesian Networks with the sparsebn Package
To meet this challenge, we have developed a new R package called sparsebn for learning the structure of large, sparse graphical models with a focus on Bayesian networks.
Penalized Estimation of Directed Acyclic Graphs From Discrete Data
Bayesian networks, with structure given by a directed acyclic graph (DAG), are a popular class of graphical models.
