Results 31 to 40 of about 418,262 (313)

Probabilistic Community Using Link and Content for Social Networks

IEEE Access, 2017
Community detection is one of the most important problems in social network analysis in the context of the structure of underlying graphs. Many researchers have proposed methods, which only consider the network structure of social networks, for ...
Shuai Zhao, Le Yu, Bo Cheng
doaj   +1 more source

Undirected Structural Markov Property for Bayesian Model Determination

Mathematics, 2023
This paper generalizes the structural Markov properties for undirected decomposable graphs to arbitrary ones. This helps us to exploit the conditional independence properties of joint prior laws to analyze and compare multiple graphical structures, while
Xiong Kang, Yingying Hu, Yi Sun
doaj   +1 more source

EPSOM-Hyb: A General Purpose Estimator of Log-Marginal Likelihoods with Applications in Probabilistic Graphical Models

Algorithms
We consider the estimation of the marginal likelihood in Bayesian statistics, with primary emphasis on Gaussian graphical models, where the intractability of the marginal likelihood in high dimensions is a frequently researched problem.
Eric Chuu, Yabo Niu, Anirban Bhattacharya, Debdeep Pati   +3 more
doaj   +1 more source

Fast and Privacy-Preserving Federated Joint Estimator of Multi-sUGMs

IEEE Access, 2021
Learning multiple related graphs from many distributed and privacy-required resources is an important and common task in neuroscience applications. Medical researchers can comprehensively investigate the diagnostic evidence and understand the cause of ...
Xiao Tan, Tianyi Ma, Tongtong Su
doaj   +1 more source

Graphical Models

Statistical Science, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Projective Latent Dependency Forest Models

IEEE Access, 2019
Latent dependence forest models (LDFM) are a new type of probabilistic models with the advantage of not requiring the difficult procedure of structure learning in model learning.
Yong Jiang, Yang Zhou, Kewei Tu
doaj   +1 more source

Equivalence model: A new graphical model for causal inference [PDF]

Epidemiology and Health, 2020
Although several causal models relevant to epidemiology have been proposed, a key question that has remained unanswered is why some people at high-risk for a particular disease do not develop the disease while some people at low-risk do develop it.
Jalal Poorolajal
doaj   +1 more source

Graphical Model Sketch

, 2016
Structured high-cardinality data arises in many domains, and poses a major challenge for both modeling and inference. Graphical models are a popular approach to modeling structured data but they are unsuitable for high-cardinality variables. The count-min (CM) sketch is a popular approach to estimating probabilities in high-cardinality data but it does
Branislav Kveton, Hung Bui 0001, Mohammad Ghavamzadeh, Georgios Theocharous, S. Muthukrishnan 0001, Siqi Sun   +5 more
openaire   +2 more sources

Approximation multivariate distribution of main indices of tehran stock exchange with pair-copula [PDF]

, 2013
The multivariate distribution of five main indices of Tehran stock exchange is approximated using a pair-copula model. A vine graphical model is used to produce an n-dimensional copula.
Parham, Gholamali, Chatrabgoun, O., O. Chatrabgoun, Parham, G., G. Parham, Chatrabgoun, O, Chatrabgoun, Omid, A. Daneshkhah, Daneshkhah, Alireza, Parham, G, Daneshkhah, A.   +10 more
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Microbial Networks in SPRING - Semi-parametric Rank-Based Correlation and Partial Correlation Estimation for Quantitative Microbiome Data

Frontiers in Genetics, 2019
High-throughput microbial sequencing techniques, such as targeted amplicon-based and metagenomic profiling, provide low-cost genomic survey data of microbial communities in their natural environment, ranging from marine ecosystems to host-associated ...
Grace Yoon, Irina Gaynanova, Christian L. Müller   +2 more
doaj   +1 more source