Learning mixed kronecker product graph models with simulated method of moments

2013 ◽  
Author(s):  
Sebastian I. Moreno ◽  
Jennifer Neville ◽  
Sergey Kirshner
Keyword(s):  
Method Of Moments ◽  
Kronecker Product ◽  
Graph Models ◽  
Product Graph ◽  
Simulated Method Of Moments

scholarly journals Tied Kronecker Product Graph Models to Capture Variance in Network Populations

2018 ◽  
Vol 12 (3) ◽  
pp. 1-40 ◽  
Author(s):  
Sebastian Moreno ◽  
Jennifer Neville ◽  
Sergey Kirshner
Keyword(s):  
Kronecker Product ◽  
Graph Models ◽  
Product Graph

scholarly journals Spatial-Temporal Rainfall Models Based On Poisson Cluster Processes

2021 ◽  
Author(s):  
Nanda R Aryal ◽  
Owen D Jones
Keyword(s):  
High Resolution ◽  
Method Of Moments ◽  
Approximate Bayesian Computation ◽  
Radar Data ◽  
Bayesian Computation ◽  
Central Importance ◽  
Temporal Models ◽  
Simulated Method Of Moments ◽  
Approximate Bayesian ◽  
Poisson Cluster

Abstract We fit stochastic spatial-temporal models to high-resolution rainfall radar data using Approximate Bayesian Computation (ABC). As a baseline we fit a model of Cox, Isham and Northrop, which we then generalise in a variety of ways. Of central importance is the use of ABC, as it is not possible to fit models of this complexity using previous approaches. We also introduce the use of Simulated Method of Moments (SMM) to initialise the ABC fit.

Kronecker product graph matching

2003 ◽  
Vol 36 (9) ◽  
pp. 2019-2030 ◽  
Author(s):  
B.J. van Wyk ◽  
M.A. van Wyk
Keyword(s):  
Kronecker Product ◽  
Graph Matching ◽  
Product Graph

scholarly journals On the diameter of the Kronecker product graph

2013 ◽  
Vol 2 (2) ◽  
pp. 121-127
Author(s):  
Fu-Tao Hu ◽  
Jun-Ming Xu
Keyword(s):  
Kronecker Product ◽  
Product Graph
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