:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Janicki, Ryan, Raim, Andrew M., Holan, Scott H., Maples, Jerry
Formato:	Preprint
Publicado:	2020
Materias:	Applications
Acceso en línea:	https://arxiv.org/abs/2009.12351
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Bayesian Methods to Improve The Accuracy of Differentially Private Measurements of Constrained Parameters
por: Janicki, Ryan, et al.
Publicado: (2024)

Topic Modeling for Free-Response Text Data from a Complex Survey
por: Pais, Namitha V., et al.
Publicado: (2025)

Incorporating Asymmetric Loss for Real Estate Prediction with Area-level Spatial Data
por: Dixit, Vaidehi, et al.
Publicado: (2024)

Nonparametric Bayesian Multi-Treatment Mixture Cure Survival Model with Application in Pediatric Oncology
por: Chang, Peter, et al.
Publicado: (2025)

Self-Tuned Rejection Sampling within Gibbs and a Case Study in Small Area Estimation
por: Raim, Andrew M., et al.
Publicado: (2025)

Nonparametric Monitoring of Spatial Dependence
por: Adämmer, Philipp, et al.
Publicado: (2024)

Summarizing Bayesian Nonparametric Mixture Posterior -- Sliced Optimal Transport Metrics for Gaussian Mixtures
por: Nguyen, Khai, et al.
Publicado: (2024)

Incorporating Correlated Nugget Effects in Multivariate Spatial Models: An Application to Argo Ocean Data
por: Saduakhas, Damilya, et al.
Publicado: (2025)

A Bayesian Finite Mixture Model Approach for Mixed-type Data Clustering and Variable Selection with Censored Biomarkers
por: Wang, Yueting, et al.
Publicado: (2026)

A Nonparametric Bayesian Model to Adjust for Monitoring Bias with an Application to Identifying Environments Stressed by Climate Change
por: Auerbach, Jonathan, et al.
Publicado: (2025)

Prognostics of Multisensor Systems with Unknown and Unlabeled Failure Modes via Bayesian Nonparametric Process Mixtures
por: Fu, Kani, et al.
Publicado: (2026)

Spatially Varying Coefficient Models for Estimating Heterogeneous Mixture Effects
por: Englert, Jacob, et al.
Publicado: (2025)

Modeling Insurance Claims using Bayesian Nonparametric Regression
por: Abadi, Mostafa Shams Esfand, et al.
Publicado: (2023)

A Bayesian Nonparametric Approach for Semi-Competing Risks with Application to Cardiovascular Health
por: Gelis-Cadena, Karina, et al.
Publicado: (2025)

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

Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling
por: Ng, Edwin, et al.
Publicado: (2021)

A Bayesian Nonparametric Model for Predicting Pregnancy Outcomes Using Longitudinal Profiles
por: Gaskins, Jeremy T., et al.
Publicado: (2017)

Bayesian Nonparametric Models for Multiple Raters: a General Statistical Framework
por: Mignemi, Giuseppe, et al.
Publicado: (2024)

Modeling Joint Health Effects of Environmental Exposure Mixtures with Bayesian Additive Regression Trees
por: Englert, Jacob, et al.
Publicado: (2024)

Gridding and Parameter Expansion for Scalable Latent Gaussian Models of Spatial Multivariate Data
por: Peruzzi, Michele, et al.
Publicado: (2021)

Scenario Analysis with Multivariate Bayesian Machine Learning Models
por: Pfarrhofer, Michael, et al.
Publicado: (2025)

Joint Bayesian Inference of Genetic Effect Sizes and PK Parameters in Nonlinear Mixed-Effects Models
por: Martinelli, Julien, et al.
Publicado: (2026)

Stochastic Search Variable Selection for Bayesian Generalized Linear Mixed Effect Models
por: Ding, Feng, et al.
Publicado: (2024)

Spatio-Temporal Change of Support Modeling with R
por: Raim, Andrew M., et al.
Publicado: (2019)

Bayesian Nonparametric Risk Assessment in Developmental Toxicity Studies with Ordinal Responses
por: Kang, Jizhou, et al.
Publicado: (2024)

Monitoring Adverse Events Through Bayesian Nonparametric Clustering Across Studies
por: Yuan, Shijie, et al.
Publicado: (2025)

A Bayesian Nonparametric Method to Adjust for Unmeasured Confounding with Negative Controls
por: Hu, Jie Kate, et al.
Publicado: (2023)

Spatial Joint Species N-Mixture Models for Multi-Source Observational Data with Application to Wild Deer Population Abundance
por: Hurley, Aoife K., et al.
Publicado: (2023)

Your MMM is Broken: Identification of Nonlinear and Time-varying Effects in Marketing Mix Models
por: Dew, Ryan, et al.
Publicado: (2024)

Bayesian Hierarchical Modeling for Bivariate Multiscale Spatial Data with Application to Blood Test Monitoring
por: Zhou, Shijie, et al.
Publicado: (2023)

A Bayesian Framework for Multivariate Differential Analysis
por: Chion, Marie, et al.
Publicado: (2023)

Informed Asymmetric Dirichlet Priors for Multivariate Bernoulli Mixture Models
por: Ferrari, Luisa, et al.
Publicado: (2026)

Bayesian Nonparametric Clustering to Support Medical Decision-Making: A Variational Inference Approach
por: Ármann, Inga Huld, et al.
Publicado: (2026)

Bayesian Multivariate Track Geometry Degradation Modelling and its use in Condition-Based Inspection
por: Truong-Ba, Huy, et al.
Publicado: (2023)

Design Effect Ratios for Bayesian Survey Models: A Diagnostic Framework for Identifying Survey-Sensitive Parameters
por: Lee, JoonHo
Publicado: (2026)

Bayesian Variable Selection for Censored Spatial Responses with Application to PFAS Concentrations in California
por: Majumder, Suman, et al.
Publicado: (2025)

Nonparametric Identification of Spatial Treatment Effect Boundaries: Evidence from Bank Branch Consolidation
por: Kikuchi, Tatsuru
Publicado: (2025)

A Latent Class Bayesian Model for Multivariate Longitudinal Outcomes with Excess Zeros
por: Chakraborty, Chitradipa, et al.
Publicado: (2025)

Modeling Multivariate Degradation Data with Dynamic Covariates Under a Bayesian Framework
por: Lin, Zhengzhi, et al.
Publicado: (2025)

Nonlocal Prior Mixture-Based Bayesian Wavelet Regression with Application to Noisy Imaging and Audio Data
por: Sanyal, Nilotpal
Publicado: (2025)