Impact of survey design on estimation of exponential-family random graph models from egocentrically-sampled data von Krivitsky, PN, Morris, M, Bojanowski, M

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Bayesian Graph Convolutional Neural Networks via Tempered MCMC von Chandra, R, Bhagat, A, Maharana, M, Krivitsky, PN

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Exponential-Family Random Graph Models for Multi-Layer Networks von Krivitsky, PN, Koehly, LM, Marcum, CS

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Exponential-Family Models of Random Graphs: Inference in Finite, Super and Infinite Population Scenarios von Schweinberger, M, Krivitsky, PN, Butts, CT, Stewart, JR

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Reviewing the methods of estimating the density function based on masked data von Lin, YX, Krivitsky, PN

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Quantifying the protection level of a noise candidate for noise multiplication masking scheme von Ma, Y, Lin, YX, Krivitsky, PN, Wakefield, B

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