Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes
Fuente:
arXiv
Saved in:
| Main Authors: | Ma, Guoxuan, Zhao, Bangyao, Abu-Amara, Hasan, Kang, Jian |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bayesian Functional Analysis for Untargeted Metabolomics Data with Matching Uncertainty and Small Sample Sizes
by: Ma, Guoxuan, et al.
Published: (2023)
by: Ma, Guoxuan, et al.
Published: (2023)
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)
Bayesian Kernel Machine Regression via Random Fourier Features for Estimating Joint Health Effects of Multiple Exposures
by: Zhang, Danlu, et al.
Published: (2025)
by: Zhang, Danlu, et al.
Published: (2025)
Nonlocal Prior Mixture-Based Bayesian Wavelet Regression with Application to Noisy Imaging and Audio Data
by: Sanyal, Nilotpal
Published: (2025)
by: Sanyal, Nilotpal
Published: (2025)
Bayesian Inference on Brain-Computer Interfaces via GLASS
by: Zhao, Bangyao, et al.
Published: (2023)
by: Zhao, Bangyao, et al.
Published: (2023)
JASPER: Joint Bayesian Analysis of Spatial Expression via Regression
by: Dey, Pritam, et al.
Published: (2026)
by: Dey, Pritam, et al.
Published: (2026)
What Influences the Field Goal Attempts of Professional Players? Analysis of Basketball Shot Charts via Log Gaussian Cox Processes with Spatially Varying Coefficients
by: Cao, Jiahao, et al.
Published: (2025)
by: Cao, Jiahao, et al.
Published: (2025)
Bayesian Transfer Learning for High-Dimensional Linear Regression via Adaptive Shrinkage
by: Jamshidian, Parsa, et al.
Published: (2025)
by: Jamshidian, Parsa, 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 Bootstrap based Gaussian Copula Model for Mixed Data with High Missing Rates
by: Kim, Seongmin, et al.
Published: (2025)
by: Kim, Seongmin, et al.
Published: (2025)
Scalable Bayesian Semiparametric Additive Regression Models For Microbiome Studies
by: Chen, Tinghua, et al.
Published: (2024)
by: Chen, Tinghua, et al.
Published: (2024)
Heterogeneous Clinical Trial Outcomes via Multi-Output Gaussian Processes
by: Thomas, Owen, et al.
Published: (2024)
by: Thomas, Owen, et al.
Published: (2024)
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)
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)
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)
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)
Gaussian Process with dissolution spline kernel
by: Murphy, Fiona, et al.
Published: (2024)
by: Murphy, Fiona, et al.
Published: (2024)
How do the professional players select their shot locations? An analysis of Field Goal Attempts via Bayesian Additive Regression Trees
by: Cao, Jiahao, et al.
Published: (2025)
by: Cao, Jiahao, 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)
Sparse Variational Contaminated Noise Gaussian Process Regression with Applications in Geomagnetic Perturbations Forecasting
by: Iong, Daniel, et al.
Published: (2024)
by: Iong, Daniel, et al.
Published: (2024)
Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes
by: Sharma, Bharat, et al.
Published: (2025)
by: Sharma, Bharat, et al.
Published: (2025)
Bayesian Nonlinear PDE Inference via Gaussian Process Collocation with Application to the Richards Equation
by: Yang, Yumo, et al.
Published: (2025)
by: Yang, Yumo, et al.
Published: (2025)
Bayesian Mixed Multidimensional Scaling for Auditory Processing
by: Rebaudo, Giovanni, et al.
Published: (2022)
by: Rebaudo, Giovanni, et al.
Published: (2022)
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)
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)
Deep Gaussian Process Emulation with gradient Information and Sequential Design for Simulators with Sharp Variations
by: Yang, Yiming, et al.
Published: (2025)
by: Yang, Yiming, et al.
Published: (2025)
Process-based Inference for Spatial Energetics Using Bayesian Predictive Stacking
by: Wakayama, Tomoya, et al.
Published: (2024)
by: Wakayama, Tomoya, et al.
Published: (2024)
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 Nonparametric Risk Assessment in Developmental Toxicity Studies with Ordinal Responses
by: Kang, Jizhou, et al.
Published: (2024)
by: Kang, Jizhou, et al.
Published: (2024)
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 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 Spatial Point Process Modeling for Cluster Randomized Trials
by: Lee, Jooyeon, et al.
Published: (2025)
by: Lee, Jooyeon, et al.
Published: (2025)
Modeling Extremal Streamflow using Deep Learning Approximations and a Flexible Spatial Process
by: Majumder, Reetam, et al.
Published: (2022)
by: Majumder, Reetam, et al.
Published: (2022)
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)
Generative Bayesian Computation as a Scalable Alternative to Gaussian Process Surrogates
by: Polson, Nick, et al.
Published: (2026)
by: Polson, Nick, et al.
Published: (2026)
Transfer Learning Between U.S. Presidential Elections: How Should We Learn From A 2020 Ad Campaign To Inform 2024 Ad Campaigns?
by: Miao, Xinran, et al.
Published: (2024)
by: Miao, Xinran, et al.
Published: (2024)
Modeling Zero-Inflated Correlated Dental Data through Gaussian Copulas and Approximate Bayesian Computation
by: Mukherjee, Anish, et al.
Published: (2024)
by: Mukherjee, Anish, et al.
Published: (2024)
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)
Similar Items
-
Bayesian Functional Analysis for Untargeted Metabolomics Data with Matching Uncertainty and Small Sample Sizes
by: Ma, Guoxuan, et al.
Published: (2023) -
Scalable Scalar-on-Image Cortical Surface Regression with a Relaxed-Thresholded Gaussian Process Prior
by: Menacher, Anna, et al.
Published: (2024) -
Bayesian Kernel Machine Regression via Random Fourier Features for Estimating Joint Health Effects of Multiple Exposures
by: Zhang, Danlu, et al.
Published: (2025) -
Nonlocal Prior Mixture-Based Bayesian Wavelet Regression with Application to Noisy Imaging and Audio Data
by: Sanyal, Nilotpal
Published: (2025) -
Bayesian Inference on Brain-Computer Interfaces via GLASS
by: Zhao, Bangyao, et al.
Published: (2023)