Cover Image

Bayesian Inference for Sexual Contact Networks Using Longitudinal Survey Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hoffmann, Till, Onnela, Jukka-Pekka
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Approximate Inference for Longitudinal Mechanistic HIV Contact Networks
by: Smiley, Octavious, et al.
Published: (2024)

Scalable Gaussian Process Inference with Stan
by: Hoffmann, Till, et al.
Published: (2023)

Unifying Summary Statistic Selection for Approximate Bayesian Computation
by: Hoffmann, Till, et al.
Published: (2022)

Network Layout Algorithm with Covariate Smoothing
by: Smiley, Octavious, et al.
Published: (2024)

Covariate Selection for Joint Latent Space Modeling of Sparse Network Data
by: Crenshaw, Emma G, et al.
Published: (2026)

Approximate Bayesian Inference on Mechanisms of Network Growth and Evolution
by: Wang, Maxwell H, et al.
Published: (2025)

Temporal Configuration Model: Statistical Inference and Spreading Processes
by: Le, Thien-Minh, et al.
Published: (2024)

Screening for Diabetes Mellitus in the U.S. Population Using Neural Network Models and Complex Survey Designs
by: Matabuena, Marcos, et al.
Published: (2024)

A Generalized Estimating Equation Approach to Network Regression
by: Ghosh, Riddhi Pratim, et al.
Published: (2023)

Community Detection through Recursive Partitioning in Bayesian Framework
by: Zhang, Yuhua, et al.
Published: (2025)

Identification and Estimation of Heterogeneous Interference Effects under Unknown Network
by: Zhang, Yuhua, et al.
Published: (2025)

Information is localized in growing network models
by: Hoffmann, Till, et al.
Published: (2025)

Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies
by: Fowler, Charlotte, et al.
Published: (2022)

Conformal uncertainty quantification using kernel depth measures in separable Hilbert spaces
by: Matabuena, Marcos, et al.
Published: (2024)

Conditional Mean and Variance Estimation via \textit{k}-NN Algorithm with Automated Variance Selection
by: Matabuena, Marcos, et al.
Published: (2024)

Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces
by: Matabuena, Marcos, et al.
Published: (2025)

Causal estimands and identification of time-varying effects in non-stationary time series from N-of-1 mobile device data
by: Cai, Xiaoxuan, et al.
Published: (2024)

Missing data in non-stationary multivariate time series from digital studies in Psychiatry
by: Cai, Xiaoxuan, et al.
Published: (2025)

Bayesian Unit-level Modeling of Categorical Survey Data with a Longitudinal Design
by: Vedensky, Daniel, et al.
Published: (2025)

Improving Survey Inference in Two-phase Designs Using Bayesian Machine Learning
by: Wang, Xinru, et al.
Published: (2023)

Modeling the 2022 Mpox Outbreak with a Mechanistic Network Model
by: Crenshaw, Emma G., et al.
Published: (2025)

Connecting Mass-action Models and Network Models for Infectious Diseases
by: Le, Thien-Minh, et al.
Published: (2024)

Stratified distance space improves the efficiency of sequential samplers for approximate Bayesian computation
by: Pesonen, Henri, et al.
Published: (2023)

Bayesian Inference for Spatially-Temporally Misaligned Data Using Predictive Stacking
by: Pan, Soumyakanti, et al.
Published: (2025)

Building Population-Informed Priors for Bayesian Inference Using Data-Consistent Stochastic Inversion
by: White, Rebekah D., et al.
Published: (2024)

Modeling Zero-Inflated Longitudinal Circular Data Using Bayesian Methods: Application to Ophthalmology
by: Bhuyan, Prajamitra, et al.
Published: (2026)

Surrogate-based ABC matches generalized Bayesian inference under specific discrepancy and kernel choices
by: Järvenpää, Marko, et al.
Published: (2025)

Bayesian Inference for Spatial-Temporal Non-Gaussian Data Using Predictive Stacking
by: Pan, Soumyakanti, et al.
Published: (2024)

BEND: An R Package for the Bayesian Estimation of Nonlinear Longitudinal Data
by: Rohloff, Corissa T., et al.
Published: (2026)

Bayesian Variational Inference for Mixed Data Mixture Models
by: Wang, Junyang, et al.
Published: (2025)

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

Design-Based Inference for the AUC with Complex Survey Data
by: Iparragirre, Amaia, et al.
Published: (2026)

Causal Inference in Longitudinal Data under Unknown Interference
by: Wang, Ye, et al.
Published: (2021)

Fast Variational Inference of Latent Space Models for Dynamic Networks Using Bayesian P-Splines
by: Loyal, Joshua Daniel
Published: (2024)

Bayesian Joint Modeling for Longitudinal Magnitude Data with Informative Dropout: an Application to Critical Care Data
by: Teng, Wen, et al.
Published: (2024)

Model-assisted survey sampling with Bayesian optimization
by: Pohjankukka, Jonne, et al.
Published: (2024)

Bayesian Profile Regression with Linear Mixed Models (Profile-LMM) applied to Longitudinal Exposome Data
by: Amestoy, Matteo, et al.
Published: (2025)

Bayesian Semiparametric Orthogonal Tucker Factorized Mixed Models for Multi-dimensional Longitudinal Functional Data
by: Roy, Arkaprava, et al.
Published: (2025)

Calibrating Bayesian Inference
by: Liu, Yang, et al.
Published: (2025)

Meta-analysis of Bayesian analyses
by: Blomstedt, Paul, et al.
Published: (2019)