Results 21 to 30 of about 22,758,545 (367)
Functional Graphical Models [PDF]
Journal of the American Statistical Association, 2018 Graphical models have attracted increasing attention in recent years, especially in settings involving high-dimensional data. In particular, Gaussian graphical models are used to model the conditional dependence structure among multiple Gaussian random variables.
Qiao, Xinghao +2 more
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Elliptical graphical modelling [PDF]
Biometrika, 2011 We propose elliptical graphical models based on conditional uncorrelatedness as a general- ization of Gaussian graphical models by letting the population distribution be elliptical instead of normal, allowing the fitting of data with arbitrarily heavy tails.
D. Vogel, R. Fried
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Graphical Models for Extremes [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2020 SummaryConditional independence, graphical models and sparsity are key notions for parsimonious statistical models and for understanding the structural relationships in the data. The theory of multivariate and spatial extremes describes the risk of rare events through asymptotically justified limit models such as max-stable and multivariate Pareto ...
Sebastian Engelke, Adrien S. Hitz
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When is a Network a Network?: Multi-Order Graphical Model Selection in Pathways and Temporal Networks [PDF]
Knowledge Discovery and Data Mining, 2017 We introduce a framework for the modeling of sequential data capturing pathways of varying lengths observed in a network. Such data are important, e.g., when studying click streams in the Web, travel patterns in transportation systems, information ...
Ingo Scholtes
semanticscholar +1 more source
Transforming Graphical System Models to Graphical Attack Models [PDF]
, 2016 Manually identifying possible attacks on an organisation is a complex undertaking; many different factors must be considered, and the resulting attack scenarios can be complex and hard to maintain as the organisation changes. System models provide a systematic representation of organisations that helps in structuring attack identification and can ...
Ivanova, Marieta Georgieva +3 more
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Investigating effective wayfinding in airports: a Bayesian network approach
Transport, 2014 Effective wayfinding is the successful interplay of human and environmental factors resulting in a person successfully moving from their current position to a desired location in a timely manner. To date this process has not been modelled to reflect this
Anna Charisse Farr +4 more
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Inferring Differential Networks by Integrating Gene Expression Data With Additional Knowledge
Frontiers in Genetics, 2021 Evidences increasingly indicate the involvement of gene network rewiring in disease development and cell differentiation. With the accumulation of high-throughput gene expression data, it is now possible to infer the changes of gene networks between two ...
Chen Liu +3 more
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Modeling massive highly-multivariate nonstationary spatial data with the basis graphical lasso [PDF]
Journal of Computational and Graphical Statistics, 32(4),
1472-1487 (2023), 2021 We propose a new modeling framework for highly-multivariate spatial processes that synthesizes ideas from recent multiscale and spectral approaches with graphical models. The basis graphical lasso writes a univariate Gaussian process as a linear combination of basis functions weighted with entries of a Gaussian graphical vector whose graph is estimated
arxiv +1 more source
Probabilistic Graphical Models [PDF]
, 2014 This report presents probabilistic graphical models that are based on imprecise probabilities using a comprehensive language. In particular, the discussion is focused on credal networks and discrete domains. It describes the building blocks of credal networks, algorithms to perform inference, and discusses on complexity results and related work.
Antonucci, Alessandro +2 more
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Inferring Gene Dependency Networks from Genomic Longitudinal Data: a Functional Data Approach
Revstat Statistical Journal, 2006 A key aim of systems biology is to unravel the regulatory interactions among genes and gene products in a cell. Here we investigate a graphical model that treats the observed gene expression over time as realizations of random curves.
Rainer Opgen-Rhein , Korbinian Strimmer
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