stochastic block model
The expected adjacency and modularity matrices in the degree corrected stochastic block model
... corrected Stochastic Block Model ...such model for the theoretical analysis of spectral algorithms for clustering and community detection, see ...the model, and its spectral analysis ...
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The autoregressive stochastic block model with changes in structure
... probabilistic model, potentially performing inference for model ...the stochastic block model ...their block memberships. For example, an assortative block structure in a ...
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Stochastic block models with multiple continuous attributes
... affiliation model, the stochastic block model (Snijders and Nowicki 1997) (at least the more standard variants of it), seeks to determine a hard partition of nodes across communities and ...
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Community Detection and Stochastic Block Models: Recent Developments
... a stochastic block model; assuming two communities is an educated guess here, but one can also estimate the number of communi- ties using the methods discussed in Section ...
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Achieving Optimal Misclassification Proportion in Stochastic Block Models
... Community detection is a fundamental statistical problem in network data analysis. In this paper, we present a polynomial time two-stage method that provably achieves optimal sta- tistical performance in ...
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Analysis of spectral clustering algorithms for community detection: the general bipartite setting
... Coja-Oghlan, 2010; Tomozei and Massouli´ e, 2010; Rohe et al., 2011; Balakrishnan et al., 2011; Chaudhuri et al., 2012; Fishkind et al., 2013; Qin and Rohe, 2013; Joseph and Yu, 2013; Krzakala et al., 2013; Lei et al., ...
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Graph Clustering: Algorithms, Analysis and Query Design
... generative stochastic model for the similarity matrix (which can be thought of as a generalization of the Stochastic Block Model) we obtain precise bounds (not orderwise) on the sizes ...
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A Tensor Approach to Learning Mixed Membership Community Models
... the stochastic block ...Dirichlet model, first introduced by Airoldi et al. (2008). This model allows for nodes to have frac- tional memberships in multiple communities and assumes that the ...
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Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification
... membership stochastic block model and explained how approximate in- ference can be performed using a combination of stochastic optimization (to obtain maximum a posteriori estimates of the ...
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Dynamic stochastic block models:Parameter estimation and detection of changes in community structure
... Albert model (Albert and Barab´asi 2002) (a scale-free model generated by preferential attachment), Watts- Strogatz model (Watts and Strogatz 1998) (small-world model), exponential random ...
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Introducing a Relational Network DEA Model with Stochastic Intermediate measures for Portfolio Optimization
... The portfolio selection problem is a famous challenge in financial real market. While there are a big data set of assets the issue could be Portfolio selection is an investment where a given resource must be divided ...
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A Stochastic Model for the Ethanol Pharmacokinetics
... the model parameters such as the anatomical structure of the assumed com- partments, metabolic rates as well as transient and steady state solutions, requires extensive and sophisticated experimental studies and ...
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The Stochastic Model for «Shnoll Effect»
... Abstract «Shnoll effect» proved to be at the histograms study of a wide variety of processes. This paper examines the effect mainly for the examples of radioactive decay and chemical reactions. S.E. Shnoll supposed that ...
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THE ISLAND MODEL WITH STOCHASTIC MIGRATION
... In Section I, we shall reconsider the problem examined by KIMURA (CROW and KIMURA 1956) , and show that his probability density should be divided by 2. Then we shall discus[r] ...
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A stochastic model for the evolution of the Web
... proposed stochastic models of the growth of the Web graph that give rise to power-law ...evolutionary model of the Web graph by including a non-preferential compo- nent, and we view the stochastic ...
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Strip/Foil Rolling Mill Stochastic Excitation Model and Its Stability
... force model, the earthquake ground acceleration model, the driving dynamic model of the uneven pavement acting on the moving vehicle chassis, and so ...load model established promote the ...
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A Stochastic Model For Protrusion Activity
... mathematical model and we derive some of its fundamental ...this model showing that different types of trajectories may be obtained: Brownian-like, persistent, or intermittent when the cell switches between ...
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Reliable Network Design Problem: case with uncertain demand and total travel time reliability
... The paper presented a stochastic network model that includes two sources of uncertainties: demand and route choice uncertainty. The OD demands are assumed to follow Poisson distribution and the travelers’ ...
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The temporal and spatial analysis of single cell gene expression
... biological model is flexible enough to describe a wide range of behaviours that cannot be captured by the traditional binary model and can be estimated reliably through a reversible jump ...the ...
257
Essays on Portfolio Optimization, Simulation and Option Pricing
... The increased availability of complete transaction and quote records from high frequency data strengthens the ability to obtain more additional information. There are, however some difficulties in practice. For example, ...
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