Image de couverture de livre

Investigating the HIV Epidemic in Miami Using a Novel Approach for Bayesian Inference on Partially Observed Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Goyal, Ravi, Nguyen, Kevin, De Gruttola, Victor, Little, Susan J, Cohen, Colby, Martin, Natasha K
Format:	Preprint
Publié:	2024
Sujets:	Applications
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Semi-Markov Models with Particle-Based Bayesian Inference for Epidemics
par: Aschermayr, Patrick, et autres
Publié: (2026)

Causal Inference Using Augmented Epidemic Models
par: Bong, Heejong, et autres
Publié: (2024)

Bayesian Inference for Epidemic Final Size Datasets with Hidden Underlying Household Structure
par: Brooks, Joseph, et autres
Publié: (2026)

A Bayesian Inference Approach for Reducing Inter-Investigator Variability in Sampling-Based Land Cover Classification
par: Tsutsumida, Narumasa, et autres
Publié: (2024)

Frequentist Inference for Semi-mechanistic Epidemic Models with Interventions
par: Bong, Heejong, et autres
Publié: (2023)

De-Linearizing Agent Traces: Bayesian Inference of Latent Partial Orders for Efficient Execution
par: Li, Dongqing, et autres
Publié: (2026)

Trimmed Mean for Partially Observed Functional Data
par: Wang, Yixiao
Publié: (2024)

A Bayesian Approach for Inference on Mixed Graphical Models
par: Florez, Mauro, et autres
Publié: (2025)

Estimating Fold Changes from Partially Observed Outcomes with Applications in Microbial Metagenomics
par: Clausen, David S, et autres
Publié: (2024)

Bayesian Nonparametric Clustering to Support Medical Decision-Making: A Variational Inference Approach
par: Ármann, Inga Huld, et autres
Publié: (2026)

Bayesian Inference of Multiple Ising Models for Heterogeneous Public Opinion Survey Networks
par: Avalos-Pacheco, Alejandra, et autres
Publié: (2024)

Unreliable Multi-Armed Bandits: A Novel Approach to Recommendation Systems
par: Ravi, Aditya Narayan, et autres
Publié: (2019)

The Epistemic Value of Novel Predictive Success in Scientific and Criminal Investigations: A Bayesian Explanation
par: Mortera, Julia, et autres
Publié: (2025)

Target Prediction Under Deceptive Switching Strategies via Outlier-Robust Filtering of Partially Observed Incomplete Trajectories
par: Meng, Yiming, et autres
Publié: (2025)

Bayesian Inference for Spatially-Temporally Misaligned Data Using Predictive Stacking
par: Pan, Soumyakanti, et autres
Publié: (2025)

Inferring Epidemics from Multiple Dependent Data via Pseudo-Marginal Methods
par: Corbella, Alice, et autres
Publié: (2022)

Zombie Epidemic -- on Modeling the Effect of Interventions
par: Ek, Kaisa, et autres
Publié: (2024)

An Exploration of Modeling Approaches for Capturing Seasonal Transmission in Stochastic Epidemic Models
par: Hridoy, Mahmudul Bari
Publié: (2024)

Bayesian Design and Analysis of Precision Trials with Partial Borrowing
par: Golchi, Shirin, et autres
Publié: (2026)

Modelling Under-Reported Data: Pitfalls of Naïve Approaches and a New Statistical Framework for Epidemic Curve Reconstruction
par: Slater, Justin J., et autres
Publié: (2025)

CCMnet: A Software Package for Network Generation with Congruence Class Models
par: Goyal, Ravi, et autres
Publié: (2026)

Process-based Inference for Spatial Energetics Using Bayesian Predictive Stacking
par: Wakayama, Tomoya, et autres
Publié: (2024)

Assessing the Impact of Vaccination on Rotavirus Transmission Dynamics Using Bayesian Inference
par: Rosato, Conor, et autres
Publié: (2025)

A Finite Mixture Hidden Markov Model for Intermittently Observed Disease Process with Heterogeneity and Partially Known Disease Type
par: Shi, Yidan, et autres
Publié: (2024)

Leveraging Synthetic and Genetic Data to Improve Epidemic Forecasting
par: Osthus, Dave, et autres
Publié: (2026)

A Bayesian Nonparametric Model for Predicting Pregnancy Outcomes Using Longitudinal Profiles
par: Gaskins, Jeremy T., et autres
Publié: (2017)

A Bayesian Approach to Estimate Causal Peer Influence Accounting for Latent Network Homophily
par: Um, Seungha, et autres
Publié: (2024)

Investigating Complex HPV Dynamics Using Emulation and History Matching
par: Iskauskas, Andrew, et autres
Publié: (2024)

A Scalable Bayesian Spatiotemporal Model for Water Level Predictions using a Nearest Neighbor Gaussian Process Approach
par: Nagahama, Victor Hugo, et autres
Publié: (2024)

Simulating MLB Seasons using Bayesian Inference and Random Walks
par: Cha, Simon
Publié: (2025)

Measuring Diagnostic Test Performance Using Imperfect Reference Tests: A Partial Identification Approach
par: Obradović, Filip
Publié: (2022)

Early warning of Mpox outbreaks in U.S. jurisdictions using Lasso Vector Autoregression models with cross-jurisdictional lags
par: Craddock, Hannah, et autres
Publié: (2026)

Estimating Time-Varying Epidemic Severity Rates with Adaptive Deconvolution
par: Goldwasser, Jeremy, et autres
Publié: (2025)

Priors from Envisioned Posterior Judgments: A Novel Elicitation Approach With Application to Bayesian Clinical Trials
par: Ouyang, Yongdong, et autres
Publié: (2024)

Transporting Predictions via Double Machine Learning: Predicting Partially Unobserved Students' Outcomes
par: Bargagli-Stoffi, Falco J., et autres
Publié: (2025)

A Novel Exact Inference Approach for Log-Logistic Reliability Functions with Applications to Time-to-Event Data
par: Liu, Bowen, et autres
Publié: (2026)

Towards Improved Uncertainty Quantification of Stochastic Epidemic Models Using Sequential Monte Carlo
par: Fadikar, Arindam, et autres
Publié: (2024)

Bayesian Inference General Procedures for A Single-subject Test Study
par: Li, Jie, et autres
Publié: (2024)

Inference for Within- and Between-Partnership Transmission Rates for HIV Infection
par: Muñoz, Irene García, et autres
Publié: (2026)

Bayesian Inference of Geometric Brownian Motion: An Extension with Jumps
par: Yan, Yifei, et autres
Publié: (2025)