:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Vogels, Lucas, Mohammadi, Reza, Schoonhoven, Marit, Birbil, S. Ilker, Dyrba, Martin
Format:	Preprint
Published:	2024
Subjects:	Applications
Online Access:	https://arxiv.org/abs/2411.07745
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scalable Bayesian Structure Learning for Gaussian Graphical Models Using Marginal Pseudo-likelihood
by: Mohammadi, Reza, et al.
Published: (2023)

Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison
by: Vogels, Lucas, et al.
Published: (2023)

Multiple Jump MCMC: A Scalable Algorithm for Bayesian Inference on Binary Model Spaces
by: Vogels, Lucas, et al.
Published: (2026)

The Role of Feature Interactions in Graph-based Tabular Deep Learning
by: Dubbeldam, Elias, et al.
Published: (2025)

A Copula Graphical Model for Multi-Attribute Data using Optimal Transport
by: Zhang, Qi, et al.
Published: (2024)

Bayesian Bootstrap based Gaussian Copula Model for Mixed Data with High Missing Rates
by: Kim, Seongmin, et al.
Published: (2025)

Modeling Zero-Inflated Correlated Dental Data through Gaussian Copulas and Approximate Bayesian Computation
by: Mukherjee, Anish, et al.
Published: (2024)

A Bayesian Approach for Inference on Mixed Graphical Models
by: Florez, Mauro, et al.
Published: (2025)

Scalable Bayesian Image-on-Scalar Regression for Population-Scale Neuroimaging Data Analysis
by: Xu, Yuliang, et al.
Published: (2024)

Flexible Bayesian Modelling of Age-Specific Counts in Many Demographic Subpopulations
by: Zens, Gregor
Published: (2024)

Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
by: Lyu, Rongke, et al.
Published: (2026)

Bayesian Matrix Factor Models for Demographic Analysis Across Age and Time
by: Zens, Gregor
Published: (2025)

A Multivariate Copula-based Bayesian Framework for Doping Detection
by: Deliu, Nina, et al.
Published: (2024)

Spectral Dynamics and Regularization for High-Dimensional Copulas
by: Gubbels, Koos B., et al.
Published: (2026)

Bayesian Graphical High-Dimensional Time Series Models for Detecting Structural Changes
by: Ghosh, Shuvrarghya, et al.
Published: (2025)

Semiparametric Dynamic Copula Models for Portfolio Optimization
by: Pareek, Savita, et al.
Published: (2025)

Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal Quantiles
by: Feldman, Joseph, et al.
Published: (2024)

Moving Aggregate Modified Autoregressive Copula-Based Time Series Models (MAGMAR-Copulas)
by: Pappert, Sven
Published: (2024)

The Impact of Oil and Gold Prices Shock on Tehran Stock Exchange: A Copula Approach
by: Najafabadi, Amir T. Payandeh, et al.
Published: (2020)

Gradient-Boosted Generalized Linear Models for Conditional Vine Copulas
by: Jobst, David, et al.
Published: (2024)

Multivariable Bidirectional Mendelian Randomization via Bayesian Directed Cyclic Graphical Models with Correlated Errors
by: Sarkar, Bitan, et al.
Published: (2025)

Multi-resolution Spatial Graphical Regression Models for Hierarchical Spatial Transcriptomics Data
by: Chen, Liying, et al.
Published: (2026)

Copula-Based Aggregation and Context-Aware Conformal Prediction for Reliable Renewable Energy Forecasting
by: Moradi, Alireza, et al.
Published: (2026)

Mortality Modelling using Generalized Estimating Equations
by: Dastranj, Reza, et al.
Published: (2024)

Mortality Forecasting with Generalized Additive Mixed Models
by: Dastranj, Reza, et al.
Published: (2023)

Multiple Imputation Method for High-Dimensional Neuroimaging Data
by: Lu, Tong, et al.
Published: (2023)

Forecasting Mortality Rates: A Linear Mixed-Effects Model
by: Dastranj, Reza, et al.
Published: (2023)

Statistical Opportunities in Neuroimaging
by: Kang, Jian, et al.
Published: (2026)

Modelling Evolutionary Power Spectral Density Functions of Strong Earthquakes Via Copulas
by: Isaías, Bañales, et al.
Published: (2024)

Quantile Function-Based Models for Neuroimaging Classification Using Wasserstein Regression
by: Li, Jie, et al.
Published: (2025)

Bayesian Nonparametric Causal Inference for Quantile Residual Life: An Application to Alzheimer's Disease
by: Bae, Woojung, et al.
Published: (2026)

Bayesian Inference for Joint Tail Risk in Paired Biomarkers via Archimedean Copulas with Restricted Jeffreys Priors
by: Aich, Agnideep, et al.
Published: (2026)

Sparse Seemingly Unrelated Regression (SSUR) Copula Mixed Models for Multivariate Loss Reserving
by: Cai, Pengfei, et al.
Published: (2025)

Vine Copulas for Analyzing Multivariate Conditional Dependencies in Electronic Health Records Data
by: Samad, Manar D., et al.
Published: (2026)

A Neuroimaging Perspective on Familial Alzheimer’s Functional Data through Bayesian Eyes
by: Alice Grazia, et al.
Published: (2024)

A Neuroimaging Perspective on Familial Alzheimer's Functional Data through Bayesian Eyes
by: Alice Grazia, et al.
Published: (2024)

Temporal Models for Demographic and Global Health Outcomes in Multiple Populations: Introducing the Normal-with-Optional-Shrinkage Data Model Class
by: Alkema, Leontine, et al.
Published: (2024)

Multi-faceted Neuroimaging Data Integration via Analysis of Subspaces
by: Ackerman, Andrew, et al.
Published: (2024)

Joint Modeling of Biomarker Cascades Along An Unobserved Disease Progression with Differentiate Covariate Effects: An Application in Alzheimer's Disease
by: Tang, Zhuojun, et al.
Published: (2023)

Testing and Improving the Robustness of Amortized Bayesian Inference for Cognitive Models
by: Wu, Yufei, et al.
Published: (2024)