Saved in:
| Main Authors: | Wang, Junyang, Ray, Kolyan, Brito-Parada, Pablo, Plancherel, Yves, Bide, Tom, Mankelow, Joseph, Morley, John, Stegemann, Julia, Myers, Rupert |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2211.06178 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Supplementary data for: Bayesian Material Flow Analysis and Life Cycle Assessment of the Cement and Concrete Life Cycle in England
by: Myers, Rupert, et al.
Published: (2025)
by: Myers, Rupert, et al.
Published: (2025)
Segmentation of arbitrary features in very high resolution remote sensing imagery
by: Cording, Henry, et al.
Published: (2024)
by: Cording, Henry, et al.
Published: (2024)
Approximate Bayesian inference for high-resolution spatial disaggregation using alternative data sources
by: Pakrashi, Anis, et al.
Published: (2024)
by: Pakrashi, Anis, et al.
Published: (2024)
Nonparametric Bayesian inference for reversible multi-dimensional diffusions
by: Giordano, Matteo, et al.
Published: (2020)
by: Giordano, Matteo, et al.
Published: (2020)
Bayesian spatio-temporal disaggregation modeling using a diffusion-SPDE approach: a case study of Aerosol Optical Depth in India
by: Avellaneda, Fernando Rodriguez, et al.
Published: (2025)
by: Avellaneda, Fernando Rodriguez, et al.
Published: (2025)
Zero-inflated stochastic volatility model for disaggregated inflation data with exact zeros
by: Han, Geonhee, et al.
Published: (2024)
by: Han, Geonhee, et al.
Published: (2024)
Nonparametric Bayesian estimation in a multidimensional diffusion model with high frequency data
by: Hoffmann, Marc, et al.
Published: (2022)
by: Hoffmann, Marc, et al.
Published: (2022)
Bayesian high-dimensional biological pathway-guided mediation analysis with application to metabolomics
by: Zhang, Yuzi, et al.
Published: (2025)
by: Zhang, Yuzi, et al.
Published: (2025)
Intelligent data collection for network discrimination in material flow analysis using Bayesian optimal experimental design
by: Liao, Jiankan, et al.
Published: (2025)
by: Liao, Jiankan, et al.
Published: (2025)
Forecasting Italian daily electricity generation disaggregated by geographical zones and energy sources using coherent forecast combination
by: Girolimetto, Daniele, et al.
Published: (2025)
by: Girolimetto, Daniele, et al.
Published: (2025)
Multivariate disaggregation modeling of air pollutants: a case-study of PM2.5, PM10 and ozone prediction in Portugal and Italy
by: Avellaneda, Fernando Rodriguez, et al.
Published: (2025)
by: Avellaneda, Fernando Rodriguez, et al.
Published: (2025)
Bayesian clustering of multiple zero-inflated outcomes
by: Franzolini, Beatrice, et al.
Published: (2022)
by: Franzolini, Beatrice, et al.
Published: (2022)
Bayesian modelling and computation utilising directed cycles in multiple network data
by: Mantziou, Anastasia, et al.
Published: (2021)
by: Mantziou, Anastasia, et al.
Published: (2021)
A scalable Bayesian double machine learning framework for high dimensional causal estimation, with application to racial disproportionality assessment
by: Luo, Yu, et al.
Published: (2025)
by: Luo, Yu, et al.
Published: (2025)
Hierarchical Bayesian spectral analysis of multiple stationary time series
by: Lee, Rebecca, et al.
Published: (2025)
by: Lee, Rebecca, et al.
Published: (2025)
Adaptive L-tests for high dimensional independence
by: Zhao, Ping, et al.
Published: (2026)
by: Zhao, Ping, et al.
Published: (2026)
A Bayesian joint model of multiple longitudinal and categorical outcomes with application to multiple myeloma using permutation-based variable importance
by: Alvares, Danilo, et al.
Published: (2024)
by: Alvares, Danilo, et al.
Published: (2024)
Bayesian local clustering of age-period mortality surfaces across multiple countries
by: Romanò, Giovanni, et al.
Published: (2025)
by: Romanò, Giovanni, et al.
Published: (2025)
A Bayesian nonlinear stationary model with multiple frequencies for business cycle analysis
by: Lenart, Łukasz, et al.
Published: (2024)
by: Lenart, Łukasz, et al.
Published: (2024)
Aggregating multiple test results to improve medical decision-making
by: Böttcher, Lucas, et al.
Published: (2024)
by: Böttcher, Lucas, et al.
Published: (2024)
Bayesian multi-exposure image fusion for robust high dynamic range ptychography
by: Kodgirwar, Shantanu, et al.
Published: (2024)
by: Kodgirwar, Shantanu, et al.
Published: (2024)
Exploring natural variation in tendon constitutive parameters via Bayesian data selection and mixed effects models
by: Casey, James, et al.
Published: (2024)
by: Casey, James, et al.
Published: (2024)
Bayesian calibration of stochastic agent based model via random forest
by: Robertson, Connor, et al.
Published: (2024)
by: Robertson, Connor, et al.
Published: (2024)
High-dimensional Array Bayesian Screening Based on Distributions with Structural Zeroes
by: Gould, A. Lawrence, et al.
Published: (2025)
by: Gould, A. Lawrence, et al.
Published: (2025)
Bayesian semiparametric modelling of biomarker variability in joint models
by: Chen, Sida, et al.
Published: (2025)
by: Chen, Sida, et al.
Published: (2025)
Bayesian Inference for Epidemic Final Size Datasets with Hidden Underlying Household Structure
by: Brooks, Joseph, et al.
Published: (2026)
by: Brooks, Joseph, et al.
Published: (2026)
Adaptive active subspace-based metamodeling for high-dimensional reliability analysis
by: Kim, Jungho, et al.
Published: (2023)
by: Kim, Jungho, et al.
Published: (2023)
High-dimensional Bayesian Model for Disease-Specific Gene Detection in Spatial Transcriptomics
by: Zhao, Qicheng, et al.
Published: (2024)
by: Zhao, Qicheng, et al.
Published: (2024)
A Bayesian joint model of multiple nonlinear longitudinal and competing risks outcomes for dynamic prediction in multiple myeloma: joint estimation and corrected two-stage approaches
by: Alvares, Danilo, et al.
Published: (2024)
by: Alvares, Danilo, et al.
Published: (2024)
A Bayesian Spatio-Temporal Model of Temperature- and Humidity-Related Mortality Using High-Resolution Climate Data
by: Perchtold, Corinna, et al.
Published: (2025)
by: Perchtold, Corinna, et al.
Published: (2025)
Test for high-dimensional linear hypothesis of mean vectors via random integration
by: Li, Jianghao, et al.
Published: (2024)
by: Li, Jianghao, et al.
Published: (2024)
The Epistemic Value of Novel Predictive Success in Scientific and Criminal Investigations: A Bayesian Explanation
by: Mortera, Julia, et al.
Published: (2025)
by: Mortera, Julia, et al.
Published: (2025)
Nonparametric Bayes multiresolution testing for high-dimensional rare events
by: Datta, Jyotishka, et al.
Published: (2023)
by: Datta, Jyotishka, et al.
Published: (2023)
Utilising high-dimensional data in randomised clinical trials: a review of methods and practice
by: Cherlin, Svetlana, et al.
Published: (2023)
by: Cherlin, Svetlana, et al.
Published: (2023)
Simultaneous test of the mean vectors and covariance matrices for high-dimensional data using RMT
by: Niu, Zhenzhen, et al.
Published: (2024)
by: Niu, Zhenzhen, et al.
Published: (2024)
Sparse least trimmed squares regression for analyzing high-dimensional large data sets
by: Alfons, Andreas, et al.
Published: (2013)
by: Alfons, Andreas, et al.
Published: (2013)
Rank-based transfer learning for high-dimensional survival data with application to sepsis data
by: Qiao, Nan, et al.
Published: (2025)
by: Qiao, Nan, et al.
Published: (2025)
gwpcorMapper: an interactive mapping tool for exploring geographically weighted correlation and partial correlation in high-dimensional geospatial datasets
by: Percival, Joseph Emile Honour, et al.
Published: (2021)
by: Percival, Joseph Emile Honour, et al.
Published: (2021)
Flusion: Integrating multiple data sources for accurate influenza predictions
by: Ray, Evan L., et al.
Published: (2024)
by: Ray, Evan L., et al.
Published: (2024)
Quantifying patient and neighborhood risks for stillbirth and preterm birth in Philadelphia with a Bayesian spatial model
by: Balocchi, Cecilia, et al.
Published: (2021)
by: Balocchi, Cecilia, et al.
Published: (2021)
Similar Items
-
Supplementary data for: Bayesian Material Flow Analysis and Life Cycle Assessment of the Cement and Concrete Life Cycle in England
by: Myers, Rupert, et al.
Published: (2025) -
Segmentation of arbitrary features in very high resolution remote sensing imagery
by: Cording, Henry, et al.
Published: (2024) -
Approximate Bayesian inference for high-resolution spatial disaggregation using alternative data sources
by: Pakrashi, Anis, et al.
Published: (2024) -
Nonparametric Bayesian inference for reversible multi-dimensional diffusions
by: Giordano, Matteo, et al.
Published: (2020) -
Bayesian spatio-temporal disaggregation modeling using a diffusion-SPDE approach: a case study of Aerosol Optical Depth in India
by: Avellaneda, Fernando Rodriguez, et al.
Published: (2025)