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20182023
most citedGraph signal denoising using -shrinkage priors

2 citations · 2 across the 5 of their papers we have counts for

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math.PR2023

PageRank Nibble on the sparse directed stochastic block model

Sayan Banerjee, Prabhanka Deka, Mariana Olvera-Cravioto

We present new results on community recovery based on the PageRank Nibble algorithm on a sparse directed stochastic block model (dSBM). Our results are based on a characterization…

math.PR2023

Load Balancing in Parallel Queues and Rank-based Diffusions

Sayan Banerjee, Amarjit Budhiraja, Benjamin Estevez

Consider a system with parallel queues in which the server for each queue processes jobs at rate and the total arrival rate to the system is where $\…

math.PR2023

Local weak limits for collapsed branching processes with random out-degrees

Sayan Banerjee, Prabhanka Deka, Mariana Olvera-Cravioto

We obtain local weak limits in probability for Collapsed Branching Processes (CBP), which are directed random networks obtained by collapsing random-sized families of individuals i…

math.PR2021

PageRank Asymptotics on Directed Preferential Attachment Networks

Sayan Banerjee, Mariana Olvera-Cravioto

We characterize the tail behavior of the distribution of the PageRank of a uniformly chosen vertex in a directed preferential attachment graph and show that it decays as a power la…

math.PR2020

Ergodicity and steady state analysis for Interference Queueing Networks

Sayan Banerjee, Abishek Sankararaman

We analyze an interacting queueing network on that was introduced in Sankararaman-Baccelli-Foss (2019) as a model for wireless networks. We show that the marginals o…

math.PR2020

Rates of convergence to equilibrium for Potlatch and Smoothing processes

Sayan Banerjee, Krzysztof Burdzy

We analyze the local and global smoothing rates of the smoothing process and obtain convergence rates to stationarity for the dual process known as the potlatch process. For genera…