Flexible Bayesian Multiple Comparison Adjustment Using Dirichlet Process and Beta-Binomial Model Priors
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Bergh, Don van den, Dablander, Fabian |
|---|---|
| Format: | Preprint |
| Publié: |
2022
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Simultaneous Inference for Multiple Proportions: A Multivariate Beta-Binomial Model
par: Westphal, Max
Publié: (2019)
par: Westphal, Max
Publié: (2019)
Unifying and Generalizing Methods for Removing Unwanted Variation Based on Negative Controls
par: Gerard, David, et autres
Publié: (2017)
par: Gerard, David, et autres
Publié: (2017)
Species Distribution Modeling with Expert Elicitation and Bayesian Calibration
par: Kaurila, Karel, et autres
Publié: (2022)
par: Kaurila, Karel, et autres
Publié: (2022)
Bayesian Calibration and Uncertainty Quantification for a Large Nutrient Load Impact Model
par: Kaurila, Karel, et autres
Publié: (2024)
par: Kaurila, Karel, et autres
Publié: (2024)
Design-Conditional Prior Elicitation for Dirichlet Process Mixtures: A Unified Framework for Cluster Counts and Weight Control
par: Lee, JoonHo
Publié: (2026)
par: Lee, JoonHo
Publié: (2026)
Bayesian Joint Modeling of Interrater and Intrarater Reliability with Multilevel Data
par: Hawila, Nour, et autres
Publié: (2024)
par: Hawila, Nour, et autres
Publié: (2024)
Assessment of the quality of a prediction
par: Sewell, Roger
Publié: (2024)
par: Sewell, Roger
Publié: (2024)
Two-Step Mixed-Type Multivariate Bayesian Sparse Variable Selection with Shrinkage Priors
par: Wang, Shao-Hsuan, et autres
Publié: (2022)
par: Wang, Shao-Hsuan, et autres
Publié: (2022)
Some are observed, all leave traces: whole-population modeling of French elite civil servants' career paths
par: Voldoire, Théo, et autres
Publié: (2023)
par: Voldoire, Théo, et autres
Publié: (2023)
Bayesian measures of leverage and influence
par: Plummer, Martyn
Publié: (2025)
par: Plummer, Martyn
Publié: (2025)
A Principled Approach to Bayesian Transfer Learning
par: Bretherton, Adam, et autres
Publié: (2025)
par: Bretherton, Adam, et autres
Publié: (2025)
Bayesian Optimization of Noisy Log-Likelihoods Evaluated by Particle Filters -- One Parameter Case --
par: Kitagawa, Genshiro
Publié: (2026)
par: Kitagawa, Genshiro
Publié: (2026)
Bayesian Smoothed Quantile Regression
par: Liu, Bingqi, et autres
Publié: (2025)
par: Liu, Bingqi, et autres
Publié: (2025)
Generalized coarsened confounding for causal effects: a large-sample framework
par: Ghosh, Debashis, et autres
Publié: (2025)
par: Ghosh, Debashis, et autres
Publié: (2025)
Improving Maximum Tolerated Dose Selection in Model-Assisted Designs for Phase I Trials through Bayesian Dose-Response Model
par: Wakayama, Rentaro, et autres
Publié: (2025)
par: Wakayama, Rentaro, et autres
Publié: (2025)
Bernstein-von Mises Theorem for Sparse Generalized Linear Model
par: Li, Hanqing, et autres
Publié: (2026)
par: Li, Hanqing, et autres
Publié: (2026)
Income, education, and other poverty-related variables: a journey through Bayesian hierarchical models
par: Gómez-Méndez, Irving, et autres
Publié: (2023)
par: Gómez-Méndez, Irving, et autres
Publié: (2023)
A General Bayesian Nonparametric Approach for Estimating Population-Level and Conditional Causal Effects
par: Hur, Yongseok, et autres
Publié: (2025)
par: Hur, Yongseok, et autres
Publié: (2025)
Variance component mixture modelling for longitudinal T-cell receptor clonal dynamics
par: Swanson, David, et autres
Publié: (2025)
par: Swanson, David, et autres
Publié: (2025)
Semiparametric Copula Estimation for Spatially Correlated Multivariate Mixed Outcomes: Analyzing Visual Sightings of Fin Whales from a Line Transect Survey
par: Momozaki, Tomotaka, et autres
Publié: (2023)
par: Momozaki, Tomotaka, et autres
Publié: (2023)
Projection predictive variable selection for discrete response families with finite support
par: Weber, Frank, et autres
Publié: (2023)
par: Weber, Frank, et autres
Publié: (2023)
A Bayesian approach to functional regression: theory and computation
par: Berrendero, José R., et autres
Publié: (2023)
par: Berrendero, José R., et autres
Publié: (2023)
Local asymptotics of selection models with applications in Bayesian selective inference
par: Rasines, Daniel G., et autres
Publié: (2023)
par: Rasines, Daniel G., et autres
Publié: (2023)
Optimal Design in Repeated Testing for Count Data
par: Parsamaram, Parisa, et autres
Publié: (2024)
par: Parsamaram, Parisa, et autres
Publié: (2024)
Continuous Time Locally Stationary Wavelet Processes
par: Palasciano, Henry Antonio, et autres
Publié: (2023)
par: Palasciano, Henry Antonio, et autres
Publié: (2023)
Consistent DAG selection for Bayesian causal discovery under general error distributions
par: Chaudhuri, Anamitra, et autres
Publié: (2025)
par: Chaudhuri, Anamitra, et autres
Publié: (2025)
Consistent Bayesian causal discovery for structural equation models with equal error variances
par: Chaudhuri, Anamitra, et autres
Publié: (2025)
par: Chaudhuri, Anamitra, et autres
Publié: (2025)
Eigenstructure inference for high-dimensional covariance with generalized shrinkage inverse-Wishart prior
par: Kim, Seongmin, et autres
Publié: (2025)
par: Kim, Seongmin, et autres
Publié: (2025)
Predictive Inference via Kernel Density Estimates
par: Hilbert, Torey
Publié: (2026)
par: Hilbert, Torey
Publié: (2026)
Covariance Correction for Permutation Statistics in Multiple Testing Problems
par: Munko, Merle, et autres
Publié: (2026)
par: Munko, Merle, et autres
Publié: (2026)
On the Bayesian analysis of a non-identifiable Binomial model
par: Marchand, Éric
Publié: (2026)
par: Marchand, Éric
Publié: (2026)
A new way to evaluate G-Wishart normalising constants via Fourier analysis
par: Wong, Ching, et autres
Publié: (2024)
par: Wong, Ching, et autres
Publié: (2024)
Dirichlet Scale Mixture Priors for Bayesian Neural Networks
par: Arnstad, August, et autres
Publié: (2026)
par: Arnstad, August, et autres
Publié: (2026)
Spatial Dependencies in Item Response Theory: Gaussian Process Priors for Geographic and Cognitive Measurement
par: Huang, Mingya, et autres
Publié: (2025)
par: Huang, Mingya, et autres
Publié: (2025)
Choosing observation operators to mitigate model error in Bayesian inverse problems
par: Cvetković, Nada, et autres
Publié: (2023)
par: Cvetković, Nada, et autres
Publié: (2023)
Bayesian taut splines for estimating the number of modes
par: Chacón, José E., et autres
Publié: (2023)
par: Chacón, José E., et autres
Publié: (2023)
Improving knockoffs with conditional calibration
par: Luo, Yixiang, et autres
Publié: (2022)
par: Luo, Yixiang, et autres
Publié: (2022)
Bayesian Effective Dimension: A Mutual Information Perspective
par: Banerjee, Sayantan
Publié: (2025)
par: Banerjee, Sayantan
Publié: (2025)
Directional testing for one-way MANOVA in divergent dimensions
par: Huang, Caizhu, et autres
Publié: (2024)
par: Huang, Caizhu, et autres
Publié: (2024)
The differential structure shared by probability and moment matching priors on non-regular statistical models via the Lie derivative
par: Yoshioka, Masaki, et autres
Publié: (2025)
par: Yoshioka, Masaki, et autres
Publié: (2025)
Documents similaires
-
Simultaneous Inference for Multiple Proportions: A Multivariate Beta-Binomial Model
par: Westphal, Max
Publié: (2019) -
Unifying and Generalizing Methods for Removing Unwanted Variation Based on Negative Controls
par: Gerard, David, et autres
Publié: (2017) -
Species Distribution Modeling with Expert Elicitation and Bayesian Calibration
par: Kaurila, Karel, et autres
Publié: (2022) -
Bayesian Calibration and Uncertainty Quantification for a Large Nutrient Load Impact Model
par: Kaurila, Karel, et autres
Publié: (2024) -
Design-Conditional Prior Elicitation for Dirichlet Process Mixtures: A Unified Framework for Cluster Counts and Weight Control
par: Lee, JoonHo
Publié: (2026)