Cover Image

Bayesian Statistical Inversion for High-Dimensional Computer Model Output and Spatially Distributed Counts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Barnett, Steven D., Gramacy, Robert B., Beesley, Lauren J., Osthus, Dave, Huang, Yifan, Guo, Fan, Reisenfeld, Daniel B.
Format:	Preprint
Published:	2025
Subjects:	Applications Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Transfer Learning using 66 Diseases for Disease Forecasting Applications
by: Beesley, Lauren J, et al.
Published: (2026)

Monotonic warpings for additive and deep Gaussian processes
by: Barnett, Steven D., et al.
Published: (2024)

Moving Towards Automated Interstellar Boundary Explorer Data Selection with LOTUS
by: Stricklin, Madeline A., et al.
Published: (2024)

Statistical methods for partitioning ribbon and globally-distributed flux using data from the Interstellar Boundary Explorer
by: Beesley, Lauren J., et al.
Published: (2023)

Leveraging Synthetic and Genetic Data to Improve Epidemic Forecasting
by: Osthus, Dave, et al.
Published: (2026)

Mapping Incidence and Prevalence Peak Data for SIR Forecasting Applications
by: Murph, Alexander C., et al.
Published: (2024)

Synthesizing data products, mathematical models, and observational measurements for lake temperature forecasting
by: Holthuijzen, Maike F., et al.
Published: (2024)

Robust Wrapped Gaussian Process Inference for Noisy Angular Data
by: Cooper, Andrew, et al.
Published: (2025)

Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
by: Dempsey, Daniel, et al.
Published: (2024)

Effective Bayesian Modeling of Large Spatiotemporal Count Data Using Autoregressive Gamma Processes
by: Cheng, Yifan, et al.
Published: (2025)

Bayesian Shrinkage in High-Dimensional VAR Models: A Comparative Study
by: Katz, Harrison, et al.
Published: (2025)

Multiscale Multi-Type Spatial Bayesian Analysis for High-Dimensional Data with Application to Wildfires and Migration
by: Zhou, Shijie, et al.
Published: (2024)

Time Series based Ensemble Model Output Statistics for Temperature Forecasts Postprocessing
by: Jobst, David, et al.
Published: (2024)

Computationally Scalable Bayesian SPDE Modeling for Censored Spatial Responses
by: Sahoo, Indranil, et al.
Published: (2024)

Summary Statistics of Large-scale Model Outputs for Observation-corrected Outputs
by: Chakraborty, Atlanta, et al.
Published: (2025)

Flexible Bayesian Modelling of Age-Specific Counts in Many Demographic Subpopulations
by: Zens, Gregor
Published: (2024)

Combining chains of Bayesian models with Markov melding
by: Manderson, Andrew A., et al.
Published: (2021)

Bayesian Graphical High-Dimensional Time Series Models for Detecting Structural Changes
by: Ghosh, Shuvrarghya, et al.
Published: (2025)

Variational Bayesian Multiple Imputation in High-Dimensional Regression Models With Missing Responses
by: Li, Qiushuang, et al.
Published: (2025)

High-Dimensional Statistical Process Control via Manifold Fitting and Learning
by: Tas, Burak I., et al.
Published: (2025)

Statistical Distributions for Transient Transport
by: Kunz, M. Ross, et al.
Published: (2025)

Uncovering dynamics between SARS-CoV-2 wastewater concentrations and community infections via Bayesian spatial functional concurrent regression
by: Sun, Thomas Y., et al.
Published: (2024)

High-dimensional Bayesian Model for Disease-Specific Gene Detection in Spatial Transcriptomics
by: Zhao, Qicheng, et al.
Published: (2024)

Spatial Deep Convolutional Neural Networks
by: Wang, Qi, et al.
Published: (2024)

A Bayesian Approach to GRAPPA Parallel FMRI Image Reconstruction Increases SNR and Power of Task Detection
by: Sakitis, Chase J, et al.
Published: (2024)

Feature Augmentations for High-Dimensional Learning
by: Zhu, Xiaonan, et al.
Published: (2025)

Spectral Dynamics and Regularization for High-Dimensional Copulas
by: Gubbels, Koos B., et al.
Published: (2026)

Dynamic Factor Analysis with Dependent Gaussian Processes for High-Dimensional Gene Expression Trajectories
by: Cai, Jiachen, et al.
Published: (2023)

Interval Prediction of Annual Average Daily Traffic on Local Roads via Quantile Random Forest with High-Dimensional Spatial Data
by: Yao, Ying, et al.
Published: (2025)

High-dimensional Array Bayesian Screening Based on Distributions with Structural Zeroes
by: Gould, A. Lawrence, et al.
Published: (2025)

Traffic Count Data Analysis Using Mixtures of Kato--Jones Distributions
by: Nagasaki, Kota, et al.
Published: (2022)

Bayesian Variable Selection for High-Dimensional Mediation Analysis: Application to Metabolomics Data in Epidemiological Studies
by: Bae, Youngho, et al.
Published: (2024)

Modeling Spatial Heterogeneity in Exposure Buffers and Risk: A Hierarchical Bayesian Approach
by: Comess, Saskia, et al.
Published: (2025)

Bayesian Transfer Learning for High-Dimensional Linear Regression via Adaptive Shrinkage
by: Jamshidian, Parsa, et al.
Published: (2025)

Modeling Zero-Inflated Correlated Dental Data through Gaussian Copulas and Approximate Bayesian Computation
by: Mukherjee, Anish, et al.
Published: (2024)

A Bayesian Prevalence Incidence Cure model for estimating survival using Electronic Health Records with incomplete baseline diagnoses
by: Pitt, Matilda, et al.
Published: (2026)

Hierarchical Count Echo State Network Models with Application to Graduate Student Enrollments
by: Wang, Qi, et al.
Published: (2025)

On Statistical Inference for High-Dimensional Binary Time Series
by: Dai, Dehao, et al.
Published: (2025)

Bayesian Inference of Time-Varying Origin-Destination Matrices from Boarding/Alighting Counts for Transit Services
by: Chen, Xiaoxu, et al.
Published: (2024)

Comparison of Model Output Statistics and Neural Networks to Postprocess Wind Gusts
by: Primo, Cristina, et al.
Published: (2024)