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A0920
Title: An autoregressive beta-model for dynamic networks Authors:  Binyan Jiang - The Hong Kong Polytechnic University (Hong Kong) [presenting]
Abstract: An autoregressive model is proposed which directly depicts the dynamic change of the edges over time for dynamic network processes with degree heterogeneity. The model facilitates efficient statistical inference such as the maximum likelihood estimators and can be consistently estimated as long as the number of network observations is great or equal to 2. Some preliminary theoretical results and numerical results will be presented to illustrate the promising performance of the proposed model