:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tierney, Graham, Hellmayr, Christoph, Barkimer, Greg, Li, Kevin, West, Mike
Format:	Preprint
Published:	2023
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2302.03200
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Compositional dynamic modelling for causal prediction in multivariate time series
by: Li, Kevin, et al.
Published: (2024)

When are time series predictions causal? The potential system and dynamic causal effects
by: Carlson, Jacob, et al.
Published: (2026)

A longitudinal Bayesian framework for estimating causal dose-response relationships
by: Luo, Yu, et al.
Published: (2025)

On robust Bayesian causal inference
by: Alexopoulos, Angelos, et al.
Published: (2025)

Bayesian weighted discrete-time dynamic models for association football prediction
by: Macrì-Demartino, Roberto, et al.
Published: (2025)

Bayesian Dynamic Modeling of Realized Volatility in Financial Asset Price Forecasting
by: Woitschig, Patrick, et al.
Published: (2026)

Prediction meets causal inference: the role of treatment in clinical prediction models
by: van Geloven, Nan, et al.
Published: (2020)

Robust Bayesian causal estimation for causal inference in medical diagnosis
by: Basu, Tathagata, et al.
Published: (2024)

Bayesian analysis of the causal reference-based model for missing data in clinical trials
by: Nansereko, Brendah, et al.
Published: (2025)

The risks of risk assessment: causal blind spots when using prediction models for treatment decisions
by: van Geloven, Nan, et al.
Published: (2024)

Scenario Synthesis and Macroeconomic Risk
by: Adrian, Tobias, et al.
Published: (2025)

Multivariate Interval-Valued Models in Frequentist and Bayesian Schemes
by: Sadeghkhani, Ali, et al.
Published: (2024)

Multivariate Bayesian structured variable selection for pharmacogenomic studies
by: Zhao, Zhi, et al.
Published: (2021)

Bayesian Multivariate Sparse Functional Principal Components Analysis
by: Sartini, Joseph, et al.
Published: (2025)

Bayesian estimation of causal effects from observational categorical data
by: Kvisgaard, Vera, et al.
Published: (2025)

Prediction can be safely used as a proxy for explanation in causally consistent Bayesian generalized linear models
by: Scholz, Maximilian, et al.
Published: (2022)

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

Bayesian Variable Selection in Multivariate Regression Under Collinearity in the Design Matrix
by: Ghosh, Joyee, et al.
Published: (2025)

Assessing the overall and partial causal well-specification of nonlinear additive noise models
by: Schultheiss, Christoph, et al.
Published: (2023)

Bayesian Conformal Prediction via the Bayesian Bootstrap
by: Gibson, Graham
Published: (2025)

Modifying causal models to distinguish between transient and lasting causal effects
by: Steele, Russell, et al.
Published: (2026)

A Bayesian approach to the survivor average causal effect in cluster-randomized crossover trials
by: Isenberg, Dane, et al.
Published: (2025)

General Bayesian inference for causal effects using covariate balancing procedure
by: Orihara, Shunichiro, et al.
Published: (2024)

Multivariate Bayesian models with flexible shared interactions for analyzing spatio-temporal patterns of rare cancers
by: Retegui, Garazi, et al.
Published: (2024)

Predictive Decision Synthesis for Portfolios: Betting on Better Models
by: Tallman, Emily, et al.
Published: (2024)

Model-assisted inference for dynamic causal effects in staggered rollout cluster randomized experiments
by: Chen, Xinyuan, et al.
Published: (2025)

An AI-powered Bayesian generative modeling approach for causal inference in observational studies
by: Liu, Qiao, et al.
Published: (2025)

Multivariate Causal Effects: a Bayesian Causal Regression Factor Model
by: Zorzetto, Dafne, et al.
Published: (2025)

Outlier-Robust Bayesian Multivariate Analysis with Correlation-Intact Sandwich Mixture
by: Hamura, Yasuyuki, et al.
Published: (2025)

Bayesian Semiparametric Multivariate Density Regression with Coordinate-Wise Predictor Selection
by: Toto, Giovanni, et al.
Published: (2026)

Bayesian Nonparametric Modeling for Multivariate Conditional Copula Regression with Varying Coefficients
by: Jeong, Yujin, et al.
Published: (2026)

Identification and estimation of causal mechanisms in cluster-randomized trials with post-treatment confounding using Bayesian nonparametrics
by: Ohnishi, Yuki, et al.
Published: (2025)

Simultaneous Graphical Dynamic Modeling
by: West, Mike, et al.
Published: (2024)

Bayesian modeling of co-occurrence microbial interaction networks
by: Bedi, Tejasv, et al.
Published: (2024)

Bayesian Multivariate Density-Density Regression
by: Nguyen, Khai, et al.
Published: (2025)

A Multivariate Copula-based Bayesian Framework for Doping Detection
by: Deliu, Nina, et al.
Published: (2024)

Adaptive Markovian Spatiotemporal Transfer Learning in Multivariate Bayesian Modeling
by: Presicce, Luca, et al.
Published: (2026)

Bayesian nonparametric mixtures of categorical directed graphs for heterogeneous causal inference
by: Castelletti, Federico, et al.
Published: (2024)

A causal viewpoint on prediction model performance under changes in case-mix: discrimination and calibration respond differently for prognosis and diagnosis predictions
by: van Amsterdam, Wouter A. C.
Published: (2024)

Bayesian Multiple Multivariate Density-Density Regression
by: Nguyen, Khai, et al.
Published: (2026)