Bayesian analysis of nonlinear structured latent factor models using a Gaussian Process Prior
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Yimang, Wang, Xiaorui, Shi, Jian Qing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scalable skewed Bayesian inference for latent Gaussian models
by: Dutta, Shourya, et al.
Published: (2025)
by: Dutta, Shourya, et al.
Published: (2025)
Gaussian distributional structural equation models: A framework for modeling latent heteroscedasticity
by: Fazio, Luna, et al.
Published: (2024)
by: Fazio, Luna, et al.
Published: (2024)
Wrapped Gaussian Process Functional Regression Model for Batch Data on Riemannian Manifolds
by: Liu, Jinzhao, et al.
Published: (2024)
by: Liu, Jinzhao, et al.
Published: (2024)
Opaque prior distributions in Bayesian latent variable models
by: Merkle, Edgar C., et al.
Published: (2023)
by: Merkle, Edgar C., et al.
Published: (2023)
Estimation and inference of high-dimensional partially linear regression models with latent factors
by: Shi, Yanmei, et al.
Published: (2025)
by: Shi, Yanmei, et al.
Published: (2025)
Uncovering latent territorial structure in ICFES Saber 11 performance with Bayesian multilevel spatial models
by: Pardo, Laura, et al.
Published: (2025)
by: Pardo, Laura, et al.
Published: (2025)
Bayesian Inference of Spatially Varying Correlations via the Thresholded Correlation Gaussian Process
by: Li, Moyan, et al.
Published: (2024)
by: Li, Moyan, et al.
Published: (2024)
High-dimensional inference for single-index model with latent factors
by: Shi, Yanmei, et al.
Published: (2025)
by: Shi, Yanmei, et al.
Published: (2025)
DGP-LVM: Derivative Gaussian process latent variable models
by: Mukherjee, Soham, et al.
Published: (2024)
by: Mukherjee, Soham, et al.
Published: (2024)
Scalable Scalar-on-Image Cortical Surface Regression with a Relaxed-Thresholded Gaussian Process Prior
by: Menacher, Anna, et al.
Published: (2024)
by: Menacher, Anna, et al.
Published: (2024)
Spatial-temporal prediction of forest attributes using latent Gaussian models and inventory data
by: May, Paul B., et al.
Published: (2025)
by: May, Paul B., et al.
Published: (2025)
Bayesian Bridge Gaussian Process Regression
by: Xu, Minshen, et al.
Published: (2025)
by: Xu, Minshen, et al.
Published: (2025)
Functional structural equation modeling with latent variables
by: Asgari, Fatemeh, et al.
Published: (2024)
by: Asgari, Fatemeh, et al.
Published: (2024)
Bayesian Forecast Combination with Predictive Priors via Particle Filtering
by: Luo, Xiaorui, et al.
Published: (2025)
by: Luo, Xiaorui, et al.
Published: (2025)
Bayesian segmented Gaussian copula factor model for single-cell sequencing data
by: Choi, Junsouk, et al.
Published: (2024)
by: Choi, Junsouk, et al.
Published: (2024)
High-dimensional low-rank matrix regression with unknown latent structures
by: Wang, Di, et al.
Published: (2025)
by: Wang, Di, et al.
Published: (2025)
Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes
by: Ma, Guoxuan, et al.
Published: (2023)
by: Ma, Guoxuan, et al.
Published: (2023)
Bayesian Inference for Initial Heat States with Gaussian Series Priors
by: Giordano, Matteo
Published: (2025)
by: Giordano, Matteo
Published: (2025)
A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data
by: Abbott, Madeline R., et al.
Published: (2024)
by: Abbott, Madeline R., et al.
Published: (2024)
Quantile Forecast Matching with a Bayesian Quantile Gaussian Process Model
by: Wadsworth, Spencer, et al.
Published: (2025)
by: Wadsworth, Spencer, et al.
Published: (2025)
A Bayesian nonlinear stationary model with multiple frequencies for business cycle analysis
by: Lenart, Łukasz, et al.
Published: (2024)
by: Lenart, Łukasz, et al.
Published: (2024)
Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors
by: Zito, Alessandro, et al.
Published: (2023)
by: Zito, Alessandro, et al.
Published: (2023)
Spherical latent space models for social network analysis
by: Sosa, Juan, et al.
Published: (2025)
by: Sosa, Juan, et al.
Published: (2025)
A Bayesian hierarchical model for disease mapping that accounts for scaling and heavy-tailed latent effects
by: Michal, Victoire, et al.
Published: (2021)
by: Michal, Victoire, et al.
Published: (2021)
Bayesian Geographically Weighted Regression using Fused Lasso Prior
by: Sakai, Toshiki, et al.
Published: (2024)
by: Sakai, Toshiki, et al.
Published: (2024)
Bayesian mixture modeling using a mixture of finite mixtures with normalized inverse Gaussian weights
by: Iwashige, Fumiya, et al.
Published: (2025)
by: Iwashige, Fumiya, et al.
Published: (2025)
Inference for microbe--metabolite association networks using a latent graph model
by: Ma, Jing
Published: (2025)
by: Ma, Jing
Published: (2025)
Misspecifications in structural equation modeling: The choice of latent variables, causal-formative constructs or composites
by: Bauer, Jonas, et al.
Published: (2025)
by: Bauer, Jonas, et al.
Published: (2025)
A Bayesian factor analysis model for high-dimensional microbiome count data
by: Ba, Ismaïla, et al.
Published: (2024)
by: Ba, Ismaïla, et al.
Published: (2024)
Going With the Flow: Normalizing Flows for Gaussian Process Regression under Hierarchical Shrinkage Priors
by: Knaus, Peter
Published: (2025)
by: Knaus, Peter
Published: (2025)
A Bayesian Take on Gaussian Process Networks
by: Giudice, Enrico, et al.
Published: (2023)
by: Giudice, Enrico, et al.
Published: (2023)
Bayesian Causal Inference with Gaussian Process Networks
by: Giudice, Enrico, et al.
Published: (2024)
by: Giudice, Enrico, et al.
Published: (2024)
Locally Adaptive Bayesian Isotonic Regression using Half Shrinkage Priors
by: Okano, Ryo, et al.
Published: (2022)
by: Okano, Ryo, et al.
Published: (2022)
Representative dietary behavior patterns and associations with cardiometabolic outcomes in Puerto Rico using a Bayesian latent class analysis for non-probability samples
by: Wu, Stephanie M., et al.
Published: (2025)
by: Wu, Stephanie M., et al.
Published: (2025)
Bayesian Analysis of Sigmoidal Gaussian Cox Processes via Data Augmentation
by: Alie, Renaud, et al.
Published: (2022)
by: Alie, Renaud, et al.
Published: (2022)
Inference for Log-Gaussian Cox Point Processes using Bayesian Deep Learning: Application to Human Oral Microbiome Image Data
by: Wang, Shuwan, et al.
Published: (2025)
by: Wang, Shuwan, et al.
Published: (2025)
A flexible class of latent variable models for the analysis of antibody response data
by: Giorgi, Emanuele, et al.
Published: (2025)
by: Giorgi, Emanuele, et al.
Published: (2025)
inlabru: software for fitting latent Gaussian models with non-linear predictors
by: Lindgren, Finn, et al.
Published: (2024)
by: Lindgren, Finn, et al.
Published: (2024)
Prior distributions for Gaussian processes in computer model emulation and calibration
by: Gu, Mengyang, et al.
Published: (2025)
by: Gu, Mengyang, et al.
Published: (2025)
Bayesian clustering of high-dimensional data via latent repulsive mixtures
by: Ghilotti, Lorenzo, et al.
Published: (2023)
by: Ghilotti, Lorenzo, et al.
Published: (2023)
Similar Items
-
Scalable skewed Bayesian inference for latent Gaussian models
by: Dutta, Shourya, et al.
Published: (2025) -
Gaussian distributional structural equation models: A framework for modeling latent heteroscedasticity
by: Fazio, Luna, et al.
Published: (2024) -
Wrapped Gaussian Process Functional Regression Model for Batch Data on Riemannian Manifolds
by: Liu, Jinzhao, et al.
Published: (2024) -
Opaque prior distributions in Bayesian latent variable models
by: Merkle, Edgar C., et al.
Published: (2023) -
Estimation and inference of high-dimensional partially linear regression models with latent factors
by: Shi, Yanmei, et al.
Published: (2025)