Gaussian distributional structural equation models: A framework for modeling latent heteroscedasticity
Fuente:
arXiv
Saved in:
| Main Authors: | Fazio, Luna, Bürkner, Paul-Christian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DGP-LVM: Derivative Gaussian process latent variable models
by: Mukherjee, Soham, et al.
Published: (2024)
by: Mukherjee, Soham, et al.
Published: (2024)
Hilbert space methods for approximating multi-output latent variable Gaussian processes
by: Mukherjee, Soham, et al.
Published: (2025)
by: Mukherjee, Soham, et al.
Published: (2025)
Primed Priors for Simulation-Based Validation of Bayesian Models
by: Fazio, Luna, et al.
Published: (2024)
by: Fazio, Luna, et al.
Published: (2024)
Posterior accuracy and calibration under misspecification in Bayesian generalized linear models
by: Scholz, Maximilian, et al.
Published: (2023)
by: Scholz, Maximilian, et al.
Published: (2023)
Prediction can be safely used as a proxy for explanation in causally consistent Bayesian generalized linear models
by: Scholz, Maximilian, et al.
Published: (2022)
by: Scholz, Maximilian, et al.
Published: (2022)
Some models are useful, but how do we know which ones? Towards a unified Bayesian model taxonomy
by: Bürkner, Paul-Christian, et al.
Published: (2022)
by: Bürkner, Paul-Christian, et al.
Published: (2022)
Functional structural equation modeling with latent variables
by: Asgari, Fatemeh, et al.
Published: (2024)
by: Asgari, Fatemeh, et al.
Published: (2024)
Bayesian inference for ordinary differential equations models with heteroscedastic measurement error
by: Salimi, Selva, et al.
Published: (2026)
by: Salimi, Selva, et al.
Published: (2026)
Robust tests for parameter change in conditionally heteroscedastic time series models
by: Song, Junmo
Published: (2025)
by: Song, Junmo
Published: (2025)
Generalized Decomposition Priors on R2
by: Aguilar, Javier Enrique, et al.
Published: (2024)
by: Aguilar, Javier Enrique, et al.
Published: (2024)
Scalable skewed Bayesian inference for latent Gaussian models
by: Dutta, Shourya, et al.
Published: (2025)
by: Dutta, Shourya, et al.
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)
Bayesian analysis of nonlinear structured latent factor models using a Gaussian Process Prior
by: Zhang, Yimang, et al.
Published: (2025)
by: Zhang, Yimang, et al.
Published: (2025)
Latent variable estimation with composite Hilbert space Gaussian processes
by: Mukherjee, Soham, et al.
Published: (2025)
by: Mukherjee, Soham, et al.
Published: (2025)
Intuitive Joint Priors for Bayesian Linear Multilevel Models: The R2D2M2 prior
by: Aguilar, Javier Enrique, et al.
Published: (2022)
by: Aguilar, Javier Enrique, et al.
Published: (2022)
Opaque prior distributions in Bayesian latent variable models
by: Merkle, Edgar C., et al.
Published: (2023)
by: Merkle, Edgar C., et al.
Published: (2023)
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)
Simulation-based validation of Bayes factor computation
by: Modrák, Martin, et al.
Published: (2025)
by: Modrák, Martin, et al.
Published: (2025)
elicito: A Python Package for Expert Prior Elicitation
by: Bockting, Florence, et al.
Published: (2025)
by: Bockting, Florence, et al.
Published: (2025)
Inference on an heteroscedastic Gompertz tumor growth model
by: Albano, Giuseppina, et al.
Published: (2024)
by: Albano, Giuseppina, et al.
Published: (2024)
Dependency-Aware Shrinkage Priors for High Dimensional Regression
by: Aguilar, Javier Enrique, et al.
Published: (2025)
by: Aguilar, Javier Enrique, et al.
Published: (2025)
Expert-elicitation method for non-parametric joint priors using normalizing flows
by: Bockting, Florence, et al.
Published: (2024)
by: Bockting, Florence, et al.
Published: (2024)
Simulation-Based Prior Knowledge Elicitation for Parametric Bayesian Models
by: Bockting, Florence, et al.
Published: (2023)
by: Bockting, Florence, et al.
Published: (2023)
Detecting and diagnosing prior and likelihood sensitivity with power-scaling
by: Kallioinen, Noa, et al.
Published: (2021)
by: Kallioinen, Noa, et al.
Published: (2021)
Efficient Uncertainty Propagation in Bayesian Two-Step Procedures
by: Jedhoff, Svenja, et al.
Published: (2025)
by: Jedhoff, Svenja, et al.
Published: (2025)
A statistical approach to latent dynamic modeling with differential equations
by: Hackenberg, Maren, et al.
Published: (2023)
by: Hackenberg, Maren, et al.
Published: (2023)
Optimal shrinkage estimation in heteroscedastic hierarchical linear models
by: Kou, Samuel, et al.
Published: (2015)
by: Kou, Samuel, et al.
Published: (2015)
Testing Homogeneity in a heteroscedastic contaminated normal mixture
by: Niu, Xiaoqing, et al.
Published: (2025)
by: Niu, Xiaoqing, et al.
Published: (2025)
Trends in tail dependence of heteroscedastic extremes
by: Einmahl, John H. J., et al.
Published: (2026)
by: Einmahl, John H. J., et al.
Published: (2026)
A general framework for modeling Gaussian process with qualitative and quantitative factors
by: Deng, Linsui, et al.
Published: (2026)
by: Deng, Linsui, et al.
Published: (2026)
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)
Clustering of functional data prone to complex heteroscedastic measurement error
by: Mai, Andi, et al.
Published: (2025)
by: Mai, Andi, et al.
Published: (2025)
Doubly-robust and heteroscedasticity-aware sample trimming for causal inference
by: Khan, Samir, et al.
Published: (2022)
by: Khan, Samir, et al.
Published: (2022)
Uncertainty calibration for latent-variable regression models
by: Duma, Zina-Sabrina, et al.
Published: (2025)
by: Duma, Zina-Sabrina, et al.
Published: (2025)
Two-step estimation of latent trait models
by: Kuha, Jouni, et al.
Published: (2023)
by: Kuha, Jouni, et al.
Published: (2023)
Phylogenetic latent space models for network data
by: Pavone, Federico, et al.
Published: (2025)
by: Pavone, Federico, et al.
Published: (2025)
Scalable regression calibration approaches to correcting measurement error in multi-level generalized functional linear regression models with heteroscedastic measurement errors
by: Luan, Yuanyuan, et al.
Published: (2023)
by: Luan, Yuanyuan, et al.
Published: (2023)
The generalized Hausman test for detecting non-normality in the latent variable distribution of the two-parameter IRT model
by: Guastadisegni, Lucia, et al.
Published: (2024)
by: Guastadisegni, Lucia, et al.
Published: (2024)
A general joint latent class model of longitudinal and survival data with the covariance modelling
by: Miao, Ruoyu, et al.
Published: (2025)
by: Miao, Ruoyu, et al.
Published: (2025)
Bayesian kernel machine regression for heteroscedastic health outcome data
by: Smith, Melissa J., et al.
Published: (2025)
by: Smith, Melissa J., et al.
Published: (2025)
Similar Items
-
DGP-LVM: Derivative Gaussian process latent variable models
by: Mukherjee, Soham, et al.
Published: (2024) -
Hilbert space methods for approximating multi-output latent variable Gaussian processes
by: Mukherjee, Soham, et al.
Published: (2025) -
Primed Priors for Simulation-Based Validation of Bayesian Models
by: Fazio, Luna, et al.
Published: (2024) -
Posterior accuracy and calibration under misspecification in Bayesian generalized linear models
by: Scholz, Maximilian, et al.
Published: (2023) -
Prediction can be safely used as a proxy for explanation in causally consistent Bayesian generalized linear models
by: Scholz, Maximilian, et al.
Published: (2022)