2.5k citations · 9k across the 50 of their papers we have counts for
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Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
Peter Bickel, David Choi, Xiangyu Chang +1
Variational methods for parameter estimation are an active research area, potentially offering computationally tractable heuristics with theoretical performance bounds. We build on…
The Bayesian Analysis of Complex, High-Dimensional Models: Can It Be CODA?
Y. Ritov, P. J. Bickel, A. C. Gamst +1
We consider the Bayesian analysis of a few complex, high-dimensional models and show that intuitive priors, which are not tailored to the fine details of the model and the estimate…
The method of moments and degree distributions for network models
Peter J. Bickel, Aiyou Chen, Elizaveta Levina
Probability models on graphs are becoming increasingly important in many applications, but statistical tools for fitting such models are not yet well developed. Here we propose a g…