Image de couverture de livre

Detecting Conflicts in Evidence Synthesis Models Using Score Discrepancies

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yang, Fuming, Nott, David J., Presanis, Anne M.
Format:	Preprint
Publié:	2025
Sujets:	Methodology Computation
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Fast Variational Boosting for Latent Variable Models
par: Gunawan, David, et autres
Publié: (2025)

Joining and splitting models with Markov melding
par: Goudie, Robert J. B., et autres
Publié: (2016)

Posterior risk of modular and semi-modular Bayesian inference
par: Frazier, David T., et autres
Publié: (2023)

Optimization-centric cutting feedback for semiparametric models
par: Tan, Linda S. L., et autres
Publié: (2025)

Robust Bayesian methods using amortized simulation-based inference
par: Yuyan, Wang, et autres
Publié: (2025)

Pooling information in likelihood-free inference
par: Frazier, David T., et autres
Publié: (2022)

Bayesian score calibration for approximate models
par: Bon, Joshua J, et autres
Publié: (2022)

Screening the Discrepancy Function of a Computer Model
par: Barbillon, Pierre, et autres
Publié: (2021)

Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference
par: Kelly, Ryan P., et autres
Publié: (2023)

Doubly robust integration of nonprobability and probability survey data
par: Seaman, Shaun R, et autres
Publié: (2025)

Simulation-based Bayesian inference under model misspecification
par: Kelly, Ryan P., et autres
Publié: (2025)

Deep mixture of linear mixed models for complex longitudinal data
par: Kock, Lucas, et autres
Publié: (2023)

Synthetic likelihood in misspecified models
par: Frazier, David T., et autres
Publié: (2021)

Cutting Feedback in Misspecified Copula Models
par: Smith, Michael Stanley, et autres
Publié: (2023)

Bayesian Modular Inference for Copula Models with Potentially Misspecified Marginals
par: Kock, Lucas, et autres
Publié: (2026)

Variational inference for hierarchical models with conditional scale and skewness corrections
par: Kock, Lucas, et autres
Publié: (2025)

Predictive variational inference for flexible regression models
par: Kock, Lucas, et autres
Publié: (2026)

Regression Copulas for Multivariate Responses
par: Klein, Nadja, et autres
Publié: (2024)

Estimation of time series by Maximum Mean Discrepancy
par: Alquier, Pierre, et autres
Publié: (2026)

Optimization of Survey Weights under a Large Number of Conflicting Constraints
par: Williams, Matthew R., et autres
Publié: (2019)

Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
par: Chen, David, et autres
Publié: (2024)

balnet: Pathwise Estimation of Covariate Balancing Propensity Scores
par: Sverdrup, Erik, et autres
Publié: (2026)

Simulation-based Inference via Langevin Dynamics with Score Matching
par: Jiang, Haoyu, et autres
Publié: (2025)

Hybrid Bayesian Models for Community Detection with Application to a Colombian Conflict Network
par: Sosa, Juan, et autres
Publié: (2025)

Bayesian Modelling of Nonstationary Extreme Values Using a Nonparametric Hawkes Process
par: Ross, Gordon J., et autres
Publié: (2026)

How Model Size, Temperature, and Prompt Style Affect LLM-Human Assessment Score Alignment
par: Jung, Julie, et autres
Publié: (2025)

hdbayes: An R Package for Bayesian Analysis of Generalized Linear Models Using Historical Data
par: Alt, Ethan M., et autres
Publié: (2025)

Nested Sampling with Slice-within-Gibbs: Efficient Evidence Calculation for Hierarchical Bayesian Models
par: Yallup, David
Publié: (2026)

Calibrated Multivariate Regression with Localized PIT Mappings
par: Kock, Lucas, et autres
Publié: (2024)

Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent
par: Liu, Qingyang, et autres
Publié: (2025)

A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy
par: Fazeli-Asl, Forough, et autres
Publié: (2023)

fkbma: An R Package for Detecting Tailoring Variables with Free-Knot B-Splines and Bayesian Model Averaging
par: Maleyeff, Lara, et autres
Publié: (2025)

Forecasting Densities of Fatalities from State-based Conflicts using Observed Markov Models
par: Randahl, David, et autres
Publié: (2024)

Stochastic Approximation Cut Algorithm for Inference in Modularized Bayesian Models
par: Liu, Yang, et autres
Publié: (2020)

How Untested Modeling Assumptions Influence the U.S. EPA's Estimates of Population-Level Ozone Exposure Risk
par: Glasgow, Garrett, et autres
Publié: (2025)

Generalized Score Matching
par: Xu, Jiazhen, et autres
Publié: (2023)

Constructing Level Sets Using Smoothed Approximate Bayesian Computation
par: Edwards, David, et autres
Publié: (2024)

Counterfactual Density Estimation using Kernel Stein Discrepancies
par: Martinez-Taboada, Diego, et autres
Publié: (2023)

On Distributional Discrepancy for Experimental Design with General Assignment Probabilities
par: Rao, Anup B., et autres
Publié: (2024)

Parameter Estimation of State Space Models Using Particle Importance Sampling
par: Gao, Yuxiong, et autres
Publié: (2025)