Sequential Adaptive Priors for Orthogonal Functions
Fuente:
arXiv
Guardado en:
| Autores principales: | Sugasawa, Shonosuke, Mochihashi, Daichi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Spatially-dependent Indian Buffet Processes
por: Sugasawa, Shonosuke, et al.
Publicado: (2024)
por: Sugasawa, Shonosuke, et al.
Publicado: (2024)
Contrastive Bayesian Inference for Unnormalized Models
por: Sonobe, Naruki, et al.
Publicado: (2026)
por: Sonobe, Naruki, et al.
Publicado: (2026)
Prior Sensitivity Analysis without Model Re-fit
por: Sugasawa, Shonosuke
Publicado: (2024)
por: Sugasawa, Shonosuke
Publicado: (2024)
Ensemble Prediction via Covariate-dependent Stacking
por: Wakayama, Tomoya, et al.
Publicado: (2024)
por: Wakayama, Tomoya, et al.
Publicado: (2024)
Direct Bayesian Additive Regression Trees for Conditional Average Treatment Effects in Regression Discontinuity Designs
por: Kondo, Daisuke, et al.
Publicado: (2026)
por: Kondo, Daisuke, et al.
Publicado: (2026)
Efficient Prior Sensitivity and Tipping-point Analysis for Medical Research: Revisiting Sampling Importance Resampling
por: Ohigashi, Tomohiro, et al.
Publicado: (2025)
por: Ohigashi, Tomohiro, et al.
Publicado: (2025)
Misspecifying non-compensatory as compensatory IRT: analysis of estimated skills and variance
por: Tamano, Hiroshi, et al.
Publicado: (2025)
por: Tamano, Hiroshi, et al.
Publicado: (2025)
Repulsive g-Priors for Regression Mixtures
por: Hayashida, Yuta, et al.
Publicado: (2025)
por: Hayashida, Yuta, et al.
Publicado: (2025)
Bayesian Spatial Predictive Synthesis
por: Cabel, Danielle, et al.
Publicado: (2022)
por: Cabel, Danielle, et al.
Publicado: (2022)
Bayesian Estimation of Variance under Fine Stratification via Mean-Variance Smoothing
por: Mosaferi, Sepideh, et al.
Publicado: (2026)
por: Mosaferi, Sepideh, et al.
Publicado: (2026)
State-Space Modeling of Shape-constrained Functional Time Series
por: Hiraki, Daichi, et al.
Publicado: (2024)
por: Hiraki, Daichi, et al.
Publicado: (2024)
Locally Adaptive Bayesian Isotonic Regression using Half Shrinkage Priors
por: Okano, Ryo, et al.
Publicado: (2022)
por: Okano, Ryo, et al.
Publicado: (2022)
The Group R2D2 Shrinkage Prior for Sparse Linear Models with Grouped Covariates
por: Yanchenko, Eric, et al.
Publicado: (2024)
por: Yanchenko, Eric, et al.
Publicado: (2024)
Adaptively Robust and Sparse K-means Clustering
por: Li, Hao, et al.
Publicado: (2024)
por: Li, Hao, et al.
Publicado: (2024)
Propensity Patchwork Kriging for Scalable Inference on Heterogeneous Treatment Effects
por: Ogawa, Hajime, et al.
Publicado: (2025)
por: Ogawa, Hajime, et al.
Publicado: (2025)
Difference-in-Differences under Local Dependence on Networks
por: Sato, Akihiro, et al.
Publicado: (2026)
por: Sato, Akihiro, et al.
Publicado: (2026)
Spatiotemporal factor models for functional data with application to population map forecast
por: Wakayama, Tomoya, et al.
Publicado: (2023)
por: Wakayama, Tomoya, et al.
Publicado: (2023)
Similarity-based Random Partition Distribution for Clustering Functional Data
por: Wakayama, Tomoya, et al.
Publicado: (2023)
por: Wakayama, Tomoya, et al.
Publicado: (2023)
Noise-Robust Phase Connectivity Estimation via Bayesian Circular Functional Models
por: Sugasawa, Shonosuke, et al.
Publicado: (2025)
por: Sugasawa, Shonosuke, et al.
Publicado: (2025)
Scalable Estimation of Crossed Random Effects Models via Multi-way Grouping
por: Takeishi, Shota, et al.
Publicado: (2025)
por: Takeishi, Shota, et al.
Publicado: (2025)
Causal Inference under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects
por: Kubota, Kohsuke, et al.
Publicado: (2025)
por: Kubota, Kohsuke, et al.
Publicado: (2025)
Causal Small Area Estimation with Survey-only Covariates
por: Ito, Tsubasa, et al.
Publicado: (2026)
por: Ito, Tsubasa, et al.
Publicado: (2026)
On Misspecified Error Distributions in Bayesian Functional Clustering: Consequences and Remedies
por: Iwashige, Fumiya, et al.
Publicado: (2025)
por: Iwashige, Fumiya, et al.
Publicado: (2025)
Outlier-Robust Bayesian Multivariate Analysis with Correlation-Intact Sandwich Mixture
por: Hamura, Yasuyuki, et al.
Publicado: (2025)
por: Hamura, Yasuyuki, et al.
Publicado: (2025)
Bayesian Doubly Robust Causal Inference via Posterior Coupling
por: Orihara, Shunichiro, et al.
Publicado: (2025)
por: Orihara, Shunichiro, et al.
Publicado: (2025)
General Bayesian quantile regression for counts via generative modeling
por: Yamauchi, Yuta, et al.
Publicado: (2024)
por: Yamauchi, Yuta, et al.
Publicado: (2024)
Efficient Bayesian Inference in the Cox Model via Rank-Ordered Likelihood
por: Ohigashi, Tomohiro, et al.
Publicado: (2026)
por: Ohigashi, Tomohiro, et al.
Publicado: (2026)
Bayesian Benchmarking Small Area Estimation via Entropic Tilting
por: Sugasawa, Shonosuke, et al.
Publicado: (2024)
por: Sugasawa, Shonosuke, et al.
Publicado: (2024)
The Bayesian Intransitive Bradley-Terry Model via Combinatorial Hodge Theory
por: Okahara, Hisaya, et al.
Publicado: (2026)
por: Okahara, Hisaya, et al.
Publicado: (2026)
Robust Bayesian Modeling of Counts with Zero inflation and Outliers: Theoretical Robustness and Efficient Computation
por: Hamura, Yasuyuki, et al.
Publicado: (2021)
por: Hamura, Yasuyuki, et al.
Publicado: (2021)
Hierarchical Regression Discontinuity Design: Pursuing Subgroup Treatment Effects
por: Sugasawa, Shonosuke, et al.
Publicado: (2023)
por: Sugasawa, Shonosuke, et al.
Publicado: (2023)
GRASP: Grouped Regression with Adaptive Shrinkage Priors
por: Tew, Shu Yu, et al.
Publicado: (2025)
por: Tew, Shu Yu, et al.
Publicado: (2025)
FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions
por: Boschi, Tobia, et al.
Publicado: (2023)
por: Boschi, Tobia, et al.
Publicado: (2023)
Posterior Robustness with Milder Conditions: Contamination Models Revisited
por: Hamura, Yasuyuki, et al.
Publicado: (2023)
por: Hamura, Yasuyuki, et al.
Publicado: (2023)
Anchored Variational Inference for Personalized Sequential Latent-State Models
por: Guo, Xingche
Publicado: (2026)
por: Guo, Xingche
Publicado: (2026)
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference
por: Kelly, Ryan P., et al.
Publicado: (2023)
por: Kelly, Ryan P., et al.
Publicado: (2023)
Generalizing Orthogonalization for Models with Non-Linearities
por: Rügamer, David, et al.
Publicado: (2024)
por: Rügamer, David, et al.
Publicado: (2024)
Adaptively Optimised Adaptive Importance Samplers
por: Perello, Carlos A. C. C., et al.
Publicado: (2023)
por: Perello, Carlos A. C. C., et al.
Publicado: (2023)
Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations
por: Hassan, Conor, et al.
Publicado: (2024)
por: Hassan, Conor, et al.
Publicado: (2024)
Effect Decomposition of Functional-Output Computer Experiments via Orthogonal Additive Gaussian Processes
por: Tan, Yu, et al.
Publicado: (2025)
por: Tan, Yu, et al.
Publicado: (2025)
Ejemplares similares
-
Spatially-dependent Indian Buffet Processes
por: Sugasawa, Shonosuke, et al.
Publicado: (2024) -
Contrastive Bayesian Inference for Unnormalized Models
por: Sonobe, Naruki, et al.
Publicado: (2026) -
Prior Sensitivity Analysis without Model Re-fit
por: Sugasawa, Shonosuke
Publicado: (2024) -
Ensemble Prediction via Covariate-dependent Stacking
por: Wakayama, Tomoya, et al.
Publicado: (2024) -
Direct Bayesian Additive Regression Trees for Conditional Average Treatment Effects in Regression Discontinuity Designs
por: Kondo, Daisuke, et al.
Publicado: (2026)