:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Majumdar, Koyel, Jaffrézic, Florence, Rau, Andrea, Gormley, Isobel Claire, Murphy, Thomas Brendan
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2412.17511
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A novel family of beta mixture models for the differential analysis of DNA methylation data: an application to prostate cancer
by: Majumdar, Koyel, et al.
Published: (2022)

Gaussian copula correlation network analysis with application to multi-omics data
by: Tomilina, Ekaterina, et al.
Published: (2025)

A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images
by: Babu, Ganesh, et al.
Published: (2024)

Missing data imputation using a truncated Gaussian infinite factor model with application to metabolomics data
by: Finucane, Kate, et al.
Published: (2024)

Variational Inference for the Latent Shrinkage Position Model
by: Gwee, Xian Yao, et al.
Published: (2023)

A Latent Shrinkage Position Model for Binary and Count Network Data
by: Gwee, Xian Yao, et al.
Published: (2022)

Model-based Clustering for Network Data via a Latent Shrinkage Position Cluster Model
by: Gwee, Xian Yao, et al.
Published: (2023)

Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression
by: Urbas, Szymon, et al.
Published: (2023)

Summarising mortality data with a time-dependent beta latent variable model
by: de Araújo, Pedro Menezes, et al.
Published: (2026)

Identifying Brexit voting patterns in the British House of Commons: an analysis based on Bayesian mixture models with flexible concomitant covariate effects
by: Berrettini, Marco, et al.
Published: (2021)

Clustering country-level all-cause mortality data: a review
by: de Araujo, Pedro Menezes, et al.
Published: (2025)

Partial membership models for soft clustering of multivariate football player performance data
by: Seri, Emiliano, et al.
Published: (2024)

Distributed inference for heterogeneous mixture models using multi-site data
by: Liu, Xiaokang, et al.
Published: (2025)

A latent variable model for identifying and characterizing food adulteration
by: Casa, Alessandro, et al.
Published: (2025)

Conditional inference for high-dimensional multi-omics survival data
by: Zhang, Heyuan, et al.
Published: (2025)

Gaussian mixture copulas for flexible dependence modelling in the body and tails of joint distributions
by: André, Lídia M., et al.
Published: (2025)

Bayesian mixture modeling using a mixture of finite mixtures with normalized inverse Gaussian weights
by: Iwashige, Fumiya, et al.
Published: (2025)

Adaptive enrichment trial designs using joint modeling of longitudinal and time-to-event data
by: Burdon, Abigail J., et al.
Published: (2023)

Expert-elicitation method for non-parametric joint priors using normalizing flows
by: Bockting, Florence, et al.
Published: (2024)

Deep learning joint extremes of metocean variables using the SPAR model
by: Mackay, Ed, et al.
Published: (2024)

MCMC for Bayesian nonparametric mixture modeling under differential privacy
by: Beraha, Mario, et al.
Published: (2023)

Pathway-based Bayesian factor models for 'omics data
by: Mauri, Lorenzo, et al.
Published: (2026)

Comparison of the LASSO and Integrative LASSO with Penalty Factors (IPF-LASSO) methods for multi-omics data: Variable selection with Type I error control
by: Castel, Charlotte, et al.
Published: (2024)

Fast and flexible inference for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations
by: Rustand, Denis, et al.
Published: (2022)

Causal mediation analysis for longitudinal and survival data in continuous time using Bayesian non-parametric joint models
by: Bhandari, Saurabh, et al.
Published: (2025)

A generalised discrete mixture model to better capture preference heterogeneity in discrete choice data
by: Hancock, Thomas O., et al.
Published: (2025)

A joint model for DHS and MICS surveys: Spatial modeling with anonymized locations
by: Paige, John, et al.
Published: (2024)

Bayesian repulsive mixture model for multivariate functional data
by: Pedroso, Ricardo Cunha, et al.
Published: (2026)

Model-based clustering for covariance matrices via penalized Wishart mixture models
by: Cappozzo, Andrea, et al.
Published: (2024)

Differential gene expression analysis via two-component mixture models with a semiparametric skew-normal scale mixture alternative
by: Oh, Sangkon, et al.
Published: (2026)

Exact conditional goodness-of-fit tests for the mixed membership stochastic block model
by: Majumdar, Sourav
Published: (2025)

Modelling multi-scale state-switching functional data with hidden Markov models
by: Sidrow, Evan, et al.
Published: (2021)

A Bayesian joint model for mediation analysis with matrix-valued mediators
by: Liu, Zijin, et al.
Published: (2023)

Bayesian Cox model with graph-structured variable selection priors for multi-omics biomarker identification
by: Hermansen, Tobias Østmo, et al.
Published: (2025)

Continuous mixtures of Gaussian processes as models for spatial extremes
by: Dell'Oro, Lorenzo, et al.
Published: (2026)

Simulating transgenerational hologenomes under selection with RITHMS
by: Pety, Solène, et al.
Published: (2025)

A right-truncated Poisson mixture model for analyzing count data
by: Koladjo, Babagnidé François, et al.
Published: (2025)

A general joint latent class model of longitudinal and survival data with the covariance modelling
by: Miao, Ruoyu, et al.
Published: (2025)

Finite mixture copulas for modeling dependence in longitudinal count data
by: Chattopadhyay, Subhajit
Published: (2024)

Deep mixture of linear mixed models for complex longitudinal data
by: Kock, Lucas, et al.
Published: (2023)