Nonlocal Prior Mixture-Based Bayesian Wavelet Regression with Application to Noisy Imaging and Audio Data
Fuente:
arXiv
Saved in:
| Main Author: | Sanyal, Nilotpal |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sensitivity Analysis of Priors in the Bayesian Dirichlet Auto-Regressive Moving Average Model
by: Katz, Harrison, et al.
Published: (2025)
by: Katz, Harrison, et al.
Published: (2025)
Compositional Outcomes and Environmental Mixtures: the Dirichlet Bayesian Weighted Quantile Sum Regression
by: Saddiki, Hachem, et al.
Published: (2025)
by: Saddiki, Hachem, et al.
Published: (2025)
Bayesian Region Selection and Prediction in Poisson Regression with Spatially Dependent Global-Local Shrinkage Prior
by: Zhu, Zihan, et al.
Published: (2026)
by: Zhu, Zihan, et al.
Published: (2026)
Bayesian Latent Class Regression and Variable Selection with Applications to Sleep Patterns Data
by: Heaney, Matthew, et al.
Published: (2025)
by: Heaney, Matthew, et al.
Published: (2025)
Bayesian Modal Regression based on Mixture Distributions
by: Liu, Qingyang, et al.
Published: (2022)
by: Liu, Qingyang, et al.
Published: (2022)
Functional Mixture Regression Control Chart
by: Capezza, Christian, et al.
Published: (2024)
by: Capezza, Christian, et al.
Published: (2024)
Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes
by: Ma, Guoxuan, et al.
Published: (2023)
by: Ma, Guoxuan, et al.
Published: (2023)
Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
by: Lyu, Rongke, et al.
Published: (2026)
by: Lyu, Rongke, et al.
Published: (2026)
Nonparametric Bayesian Multi-Treatment Mixture Cure Survival Model with Application in Pediatric Oncology
by: Chang, Peter, et al.
Published: (2025)
by: Chang, Peter, et al.
Published: (2025)
Scalable Scalar-on-Image Cortical Surface Regression with a Relaxed-Thresholded Gaussian Process Prior
by: Menacher, Anna, et al.
Published: (2024)
by: Menacher, Anna, et al.
Published: (2024)
Prior selection for the precision parameter of Dirichlet Process Mixtures
by: Vicentini, Carlo, et al.
Published: (2025)
by: Vicentini, Carlo, et al.
Published: (2025)
Priors from Envisioned Posterior Judgments: A Novel Elicitation Approach With Application to Bayesian Clinical Trials
by: Ouyang, Yongdong, et al.
Published: (2024)
by: Ouyang, Yongdong, et al.
Published: (2024)
Bayesian Bivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data in Sports
by: Florez, Mauro, et al.
Published: (2024)
by: Florez, Mauro, et al.
Published: (2024)
Mixtures of Neural Network Experts with Application to Phytoplankton Flow Cytometry Data
by: Pawl, Ethan, et al.
Published: (2025)
by: Pawl, Ethan, et al.
Published: (2025)
A Bayesian Functional Concurrent Zero-Inflated Dirichlet-Multinomial Regression Model with Application to Infant Microbiome
by: Erlandson, Brody, et al.
Published: (2026)
by: Erlandson, Brody, et al.
Published: (2026)
Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
by: Dempsey, Daniel, et al.
Published: (2024)
by: Dempsey, Daniel, et al.
Published: (2024)
A Bayesian Semiparametric Mixture Model for Clustering Zero-Inflated Microbiome Data
by: Korsurat, Suppapat, et al.
Published: (2025)
by: Korsurat, Suppapat, et al.
Published: (2025)
Modeling Insurance Claims using Bayesian Nonparametric Regression
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)
Uncertainty Quantification in Bayesian Reduced-Rank Sparse Regressions
by: Pintado, Maria F., et al.
Published: (2023)
by: Pintado, Maria F., et al.
Published: (2023)
Bayesian Prognostic Covariate Adjustment With Additive Mixture Priors
by: Vanderbeek, Alyssa M., et al.
Published: (2023)
by: Vanderbeek, Alyssa M., et al.
Published: (2023)
Don't Disregard the Data for Lack of a Likelihood: Bayesian Synthetic Likelihood for Enhanced Multilevel Network Meta-Regression
by: Campbell, Harlan, et al.
Published: (2026)
by: Campbell, Harlan, et al.
Published: (2026)
JASPER: Joint Bayesian Analysis of Spatial Expression via Regression
by: Dey, Pritam, et al.
Published: (2026)
by: Dey, Pritam, et al.
Published: (2026)
Scalable Bayesian Semiparametric Additive Regression Models For Microbiome Studies
by: Chen, Tinghua, et al.
Published: (2024)
by: Chen, Tinghua, et al.
Published: (2024)
Bayesian Joint Modeling for Longitudinal Magnitude Data with Informative Dropout: an Application to Critical Care Data
by: Teng, Wen, et al.
Published: (2024)
by: Teng, Wen, et al.
Published: (2024)
BayesPPDSurv: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Time-To-Event Data
by: Shen, Yueqi, et al.
Published: (2024)
by: Shen, Yueqi, et al.
Published: (2024)
Regularization and Model Selection for Ordinal-on-Ordinal Regression with Applications to Food Products' Testing and Survey Data
by: Hoshiyar, Aisouda, et al.
Published: (2023)
by: Hoshiyar, Aisouda, et al.
Published: (2023)
Joint Models for Handling Non-Ignorable Missing Data using Bayesian Additive Regression Trees: Application to Leaf Photosynthetic Traits Data
by: Goh, Yong Chen, et al.
Published: (2024)
by: Goh, Yong Chen, et al.
Published: (2024)
Bayesian Hierarchical Modeling for Bivariate Multiscale Spatial Data with Application to Blood Test Monitoring
by: Zhou, Shijie, et al.
Published: (2023)
by: Zhou, Shijie, et al.
Published: (2023)
Bayesian Joint Modeling of Zero-Inflated Longitudinal Data and Survival with a Cure Fraction: Application to AIDS Data
by: Baghfalaki, Taban, et al.
Published: (2025)
by: Baghfalaki, Taban, et al.
Published: (2025)
Variational Bayesian Multiple Imputation in High-Dimensional Regression Models With Missing Responses
by: Li, Qiushuang, et al.
Published: (2025)
by: Li, Qiushuang, et al.
Published: (2025)
High-dimensional iterative variable selection for accelerated failure time models
by: Sanyal, Nilotpal
Published: (2023)
by: Sanyal, Nilotpal
Published: (2023)
Bayesian Hierarchical Modelling of Noisy Gamma Processes: Model Formulation, Identifiability, Model Fitting, and Extensions to Unit-to-Unit Variability
by: Leadbetter, Ryan, et al.
Published: (2024)
by: Leadbetter, Ryan, et al.
Published: (2024)
Proxy Variable in OECD Database: Application of Parametric Quantile Regression and Median Based Unit Rayleigh Distribution
by: Attia, Iman Mohamed
Published: (2025)
by: Attia, Iman Mohamed
Published: (2025)
Bayesian Variable Selection for High-Dimensional Mediation Analysis: Application to Metabolomics Data in Epidemiological Studies
by: Bae, Youngho, et al.
Published: (2024)
by: Bae, Youngho, et al.
Published: (2024)
A Bayesian Dirichlet Auto-Regressive Moving Average Model for Forecasting Lead Times
by: Katz, Harrison, et al.
Published: (2023)
by: Katz, Harrison, et al.
Published: (2023)
Bayesian Spatially Clustered Compositional Regression: Linking intersectoral GDP contributions to Gini Coefficients
by: Meng, Jingcheng, et al.
Published: (2024)
by: Meng, Jingcheng, et al.
Published: (2024)
Adaptive Block-Based Change-Point Detection for Sparse Spatially Clustered Data with Applications in Remote Sensing Imaging
by: Moore, Alan, et al.
Published: (2025)
by: Moore, Alan, et al.
Published: (2025)
Dependency-Aware Shrinkage Priors for High Dimensional Regression
by: Aguilar, Javier Enrique, et al.
Published: (2025)
by: Aguilar, Javier Enrique, et al.
Published: (2025)
A Bayesian Proportional Mean Model Using Panel Binary Data-An Application to Health and Retirement Study
by: Hariharan, Pavithra, et al.
Published: (2025)
by: Hariharan, Pavithra, et al.
Published: (2025)
Bayesian Inference for Joint Tail Risk in Paired Biomarkers via Archimedean Copulas with Restricted Jeffreys Priors
by: Aich, Agnideep, et al.
Published: (2026)
by: Aich, Agnideep, et al.
Published: (2026)
Similar Items
-
Sensitivity Analysis of Priors in the Bayesian Dirichlet Auto-Regressive Moving Average Model
by: Katz, Harrison, et al.
Published: (2025) -
Compositional Outcomes and Environmental Mixtures: the Dirichlet Bayesian Weighted Quantile Sum Regression
by: Saddiki, Hachem, et al.
Published: (2025) -
Bayesian Region Selection and Prediction in Poisson Regression with Spatially Dependent Global-Local Shrinkage Prior
by: Zhu, Zihan, et al.
Published: (2026) -
Bayesian Latent Class Regression and Variable Selection with Applications to Sleep Patterns Data
by: Heaney, Matthew, et al.
Published: (2025) -
Bayesian Modal Regression based on Mixture Distributions
by: Liu, Qingyang, et al.
Published: (2022)