Cargando…

Estimating global identifiability using conditional mutual information in a Bayesian framework

A novel information-theoretic approach is proposed to assess the global practical identifiability of Bayesian statistical models. Based on the concept of conditional mutual information, an estimate of information gained for each model parameter is used to quantify the identifiability with practical...

Descripción completa

Detalles Bibliográficos
Autores principales:	Bhola, Sahil, Duraisamy, Karthik
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603099/ https://www.ncbi.nlm.nih.gov/pubmed/37884565 http://dx.doi.org/10.1038/s41598-023-44589-3

Ejemplares similares

Sparse Bayesian Learning for DOA Estimation with Mutual Coupling
por: Dai, Jisheng, et al.
Publicado: (2015)

A Conditional Mutual Information Estimator for Mixed Data and an Associated Conditional Independence Test
por: Zan, Lei, et al.
Publicado: (2022)

Identifying Statistical Dependence in Genomic Sequences via Mutual Information Estimates
por: Aktulga, Hasan Metin, et al.
Publicado: (2007)

Estimating Conditional Transfer Entropy in Time Series Using Mutual Information and Nonlinear Prediction
por: Shahsavari Baboukani, Payam, et al.
Publicado: (2020)

Mutual information estimation reveals global associations between stimuli and biological processes
por: Suzuki, Taiji, et al.
Publicado: (2009)

Causal Analysis of Learning Performance Based on Bayesian Network and Mutual Information
por: Chen, Jing, et al.
Publicado: (2019)

A Bayesian Alternative to Mutual Information for the Hierarchical Clustering of Dependent Random Variables
por: Marrelec, Guillaume, et al.
Publicado: (2015)

Information Bottleneck Analysis by a Conditional Mutual Information Bound
por: Tezuka, Taro, et al.
Publicado: (2021)

Gene Regulatory Network Reconstruction Using Conditional Mutual Information
por: Liang, Kuo-Ching, et al.
Publicado: (2008)

Learning biological network using mutual information and conditional independence
por: Kim, Dong-Chul, et al.
Publicado: (2010)

A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula
por: Ince, Robin A.A., et al.
Publicado: (2016)

Limitations to Estimating Mutual Information in Large Neural Populations
por: Mölter, Jan, et al.
Publicado: (2020)

New Analysis Framework Incorporating Mixed Mutual Information and Scalable Bayesian Networks for Multimodal High Dimensional Genomic and Epigenomic Cancer Data
por: Wang, Xichun, et al.
Publicado: (2020)

Three global conditions for biodiversity conservation and sustainable use: an implementation framework
por: Locke, Harvey, et al.
Publicado: (2019)

An Integrative Framework for Bayesian Variable Selection with Informative Priors for Identifying Genes and Pathways
por: Peng, Bin, et al.
Publicado: (2013)

Multi-Label Feature Selection with Conditional Mutual Information
por: Wang, Xiujuan, et al.
Publicado: (2022)

Identifying Mixtures of Mixtures Using Bayesian Estimation
por: Malsiner-Walli, Gertraud, et al.
Publicado: (2017)

A study for multiscale information transfer measures based on conditional mutual information
por: Wan, Xiaogeng, et al.
Publicado: (2018)

scMINER: a mutual information-based framework for identifying hidden drivers from single-cell omics data
por: Ding, Liang, et al.
Publicado: (2023)

scMINER: a mutual information-based framework for identifying hidden drivers from single-cell omics data
por: Ding, Liang, et al.
Publicado: (2023)

Conditional Rényi Divergence Saddlepoint and the Maximization of α-Mutual Information
por: Cai, Changxiao, et al.
Publicado: (2019)

Belavkin–Staszewski Relative Entropy, Conditional Entropy, and Mutual Information
por: Zhai, Yuan, et al.
Publicado: (2022)

Estimating Bayesian Phylogenetic Information Content
por: Lewis, Paul O., et al.
Publicado: (2016)

Estimating Mutual Information for Spike Trains: A Bird Song Example
por: Witter, Jake, et al.
Publicado: (2023)

A Quick and Easy Way to Estimate Entropy and Mutual Information for Neuroscience
por: Zbili, Mickael, et al.
Publicado: (2021)

A Bayesian Framework for Parameter Estimation in Dynamical Models
por: Coelho, Flávio Codeço, et al.
Publicado: (2011)

Mutual learning globally
por: Schnyder, Ulrich
Publicado: (2013)

DOA Estimation for Massive MIMO Systems with Unknown Mutual Coupling Based on Block Sparse Bayesian Learning
por: Liu, Yang, et al.
Publicado: (2022)

Parallel mutual information estimation for inferring gene regulatory networks on GPUs
por: Shi, Haixiang, et al.
Publicado: (2011)

Inferring Protein Modulation from Gene Expression Data Using Conditional Mutual Information
por: Giorgi, Federico M., et al.
Publicado: (2014)

Conditional Mutual Information Maps as Descriptors of Net Connectivity Levels in the Brain
por: Salvador, Raymond, et al.
Publicado: (2010)

A Novel Segmentation, Mutual Information Network Framework for EEG Analysis of Motor Tasks
por: Wang, Z Jane, et al.
Publicado: (2009)

Allometric Scaling of Mutual Information in Complex Networks: A Conceptual Framework and Empirical Approach
por: Viegas, Eduardo, et al.
Publicado: (2020)

On the Impact of Entropy Estimation on Transcriptional Regulatory Network Inference Based on Mutual Information
por: Olsen, Catharina, et al.
Publicado: (2008)

Estimating the Mutual Information between Two Discrete, Asymmetric Variables with Limited Samples
por: Hernández, Damián G., et al.
Publicado: (2019)

Mutual information: Measuring nonlinear dependence in longitudinal epidemiological data
por: Young, Alexander L., et al.
Publicado: (2023)

Correction: Inferring Protein Modulation from Gene Expression Data Using Conditional Mutual Information
por: Giorgi, Federico M., et al.
Publicado: (2016)

Admixture mapping of end stage kidney disease genetic susceptibility using estimated mutual information ancestry informative markers
por: Shlush, Liran I, et al.
Publicado: (2010)

JAMI: fast computation of conditional mutual information for ceRNA network analysis
por: Hornakova, Andrea, et al.
Publicado: (2018)

Bayesian Estimation of Conditional Independence Graphs Improves Functional Connectivity Estimates
por: Hinne, Max, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_694d1mqhas6cpealed4km3k64k