Predictive variational inference for flexible regression models
Fuente:
arXiv
Saved in:
| Main Authors: | Kock, Lucas, Sisson, Scott A., Rodrigues, G. S., Nott, David J. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Calibrated Multivariate Regression with Localized PIT Mappings
by: Kock, Lucas, et al.
Published: (2024)
by: Kock, Lucas, et al.
Published: (2024)
Variational inference for hierarchical models with conditional scale and skewness corrections
by: Kock, Lucas, et al.
Published: (2025)
by: Kock, Lucas, et al.
Published: (2025)
Fast and flexible inference for spatial extremes
by: Zhong, Peng, et al.
Published: (2024)
by: Zhong, Peng, et al.
Published: (2024)
Pooling information in likelihood-free inference
by: Frazier, David T., et al.
Published: (2022)
by: Frazier, David T., et al.
Published: (2022)
Deep mixture of linear mixed models for complex longitudinal data
by: Kock, Lucas, et al.
Published: (2023)
by: Kock, Lucas, et al.
Published: (2023)
Bayesian Modular Inference for Copula Models with Potentially Misspecified Marginals
by: Kock, Lucas, et al.
Published: (2026)
by: Kock, Lucas, et al.
Published: (2026)
Posterior risk of modular and semi-modular Bayesian inference
by: Frazier, David T., et al.
Published: (2023)
by: Frazier, David T., et al.
Published: (2023)
Reversible jump Markov chain Monte Carlo and multi-model samplers
by: Fan, Yanan, et al.
Published: (2010)
by: Fan, Yanan, et al.
Published: (2010)
Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
by: Chen, David, et al.
Published: (2024)
by: Chen, David, et al.
Published: (2024)
Robust Bayesian methods using amortized simulation-based inference
by: Yuyan, Wang, et al.
Published: (2025)
by: Yuyan, Wang, et al.
Published: (2025)
Simulation-based Bayesian inference under model misspecification
by: Kelly, Ryan P., et al.
Published: (2025)
by: Kelly, Ryan P., et al.
Published: (2025)
Estimation, inference and model selection for jump regression models
by: Grønneberg, Steffen, et al.
Published: (2026)
by: Grønneberg, Steffen, et al.
Published: (2026)
Synthetic likelihood in misspecified models
by: Frazier, David T., et al.
Published: (2021)
by: Frazier, David T., et al.
Published: (2021)
Model-Free Local Recalibration of Neural Networks
by: Torres, R., et al.
Published: (2024)
by: Torres, R., et al.
Published: (2024)
Asymptotics for EBLUPs within crossed mixed effect models
by: Lyu, Ziyang, et al.
Published: (2025)
by: Lyu, Ziyang, et al.
Published: (2025)
Truly Multivariate Structured Additive Distributional Regression
by: Kock, Lucas, et al.
Published: (2023)
by: Kock, Lucas, et al.
Published: (2023)
Optimization-centric cutting feedback for semiparametric models
by: Tan, Linda S. L., et al.
Published: (2025)
by: Tan, Linda S. L., et al.
Published: (2025)
Ordinal regression for meta-analysis of test accuracy: a flexible approach for utilising all threshold data
by: Cerullo, Enzo, et al.
Published: (2025)
by: Cerullo, Enzo, et al.
Published: (2025)
Improved inference for nonparametric regression and regression-discontinuity designs
by: Cavaliere, Giuseppe, et al.
Published: (2025)
by: Cavaliere, Giuseppe, et al.
Published: (2025)
Bayesian inference on Cox regression models using catalytic prior distributions
by: Li, Weihao, et al.
Published: (2023)
by: Li, Weihao, et al.
Published: (2023)
Robust inference in inflated beta regression
by: Queiroz, Francisco Felipe, et al.
Published: (2026)
by: Queiroz, Francisco Felipe, et al.
Published: (2026)
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)
Statistical inference for partially shape-constrained function-on-scalar linear regression models
by: Han, Kyunghee, et al.
Published: (2024)
by: Han, Kyunghee, et al.
Published: (2024)
Fast Variational Boosting for Latent Variable Models
by: Gunawan, David, et al.
Published: (2025)
by: Gunawan, David, et al.
Published: (2025)
A correlated pseudo-marginal approach to doubly intractable problems
by: Yang, Yu, et al.
Published: (2022)
by: Yang, Yu, et al.
Published: (2022)
Inverse regression for causal inference with multiple outcomes
by: Zhang, Wei, et al.
Published: (2025)
by: Zhang, Wei, et al.
Published: (2025)
Robust inference for linear regression models with possibly skewed error distribution
by: Nandy, Amarnath, et al.
Published: (2024)
by: Nandy, Amarnath, et al.
Published: (2024)
Bayesian score calibration for approximate models
by: Bon, Joshua J, et al.
Published: (2022)
by: Bon, Joshua J, et al.
Published: (2022)
Approximate Bayesian inference for cumulative probit regression models
by: Aliverti, Emanuele
Published: (2025)
by: Aliverti, Emanuele
Published: (2025)
Increasing dimension asymptotics for two-way crossed mixed effect models
by: Lyu, Ziyang, et al.
Published: (2024)
by: Lyu, Ziyang, et al.
Published: (2024)
Effective and flexible depth-based inference for functional parameters
by: Yeon, Hyemin
Published: (2026)
by: Yeon, Hyemin
Published: (2026)
Statistical inference for high-dimensional convoluted rank regression
by: Cai, Leheng, et al.
Published: (2024)
by: Cai, Leheng, et al.
Published: (2024)
Detecting Conflicts in Evidence Synthesis Models Using Score Discrepancies
by: Yang, Fuming, et al.
Published: (2025)
by: Yang, Fuming, et al.
Published: (2025)
Predictive variational inference: Learn the predictively optimal posterior distribution
by: Lai, Jinlin, et al.
Published: (2024)
by: Lai, Jinlin, et al.
Published: (2024)
Scalable Bayesian inference on high-dimensional multivariate linear regression
by: Cao, Xuan, et al.
Published: (2025)
by: Cao, Xuan, et al.
Published: (2025)
The $\ell$-test: leveraging sparsity in the Gaussian linear model for improved inference
by: Sengupta, Souhardya, et al.
Published: (2024)
by: Sengupta, Souhardya, et al.
Published: (2024)
BARTSIMP: flexible spatial covariate modeling and prediction using Bayesian additive regression trees
by: Jiang, Alex Ziyu, et al.
Published: (2023)
by: Jiang, Alex Ziyu, et al.
Published: (2023)
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression
by: Kim, Youngseok, et al.
Published: (2022)
by: Kim, Youngseok, et al.
Published: (2022)
The flexible Gumbel distribution: A new model for inference about the mode
by: Liu, Qingyang, et al.
Published: (2022)
by: Liu, Qingyang, et al.
Published: (2022)
Bayesian compositional regression with flexible microbiome feature aggregation and selection
by: Saha, Satabdi, et al.
Published: (2024)
by: Saha, Satabdi, et al.
Published: (2024)
Similar Items
-
Calibrated Multivariate Regression with Localized PIT Mappings
by: Kock, Lucas, et al.
Published: (2024) -
Variational inference for hierarchical models with conditional scale and skewness corrections
by: Kock, Lucas, et al.
Published: (2025) -
Fast and flexible inference for spatial extremes
by: Zhong, Peng, et al.
Published: (2024) -
Pooling information in likelihood-free inference
by: Frazier, David T., et al.
Published: (2022) -
Deep mixture of linear mixed models for complex longitudinal data
by: Kock, Lucas, et al.
Published: (2023)