Cover Image

Deep Gaussian Process Emulation with gradient Information and Sequential Design for Simulators with Sharp Variations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Yiming, Ming, Deyu, Guillas, Serge
Format:	Preprint
Published:	2025
Subjects:	Computation Applications Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

History matching for functional data and its application to tsunami warnings in the Indian Ocean
by: Kanai, Ryuichi, et al.
Published: (2025)

Deep Gaussian Process Emulation and Uncertainty Quantification for Large Computer Experiments
by: Yazdi, Faezeh, et al.
Published: (2024)

Exchangeable Gaussian Processes with application to epidemics
by: Bouranis, Lampros, et al.
Published: (2025)

Failure of Optimal Design Theory? A Case Study in Toxicology Using Sequential Robust Optimal Design Framework
by: Cui, Elvis Han, et al.
Published: (2025)

Fast Emulation, Modular Calibration, and Active Learning for Simulators with Functional Response
by: Hutchings, Grant, et al.
Published: (2024)

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

Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes
by: Ma, Guoxuan, et al.
Published: (2023)

Sparse Variational Contaminated Noise Gaussian Process Regression with Applications in Geomagnetic Perturbations Forecasting
by: Iong, Daniel, et al.
Published: (2024)

Sequential Bayesian inference for stochastic epidemic models of cumulative incidence
by: Whitaker, Sam A., et al.
Published: (2024)

Adaptive Gaussian Process Search for Simulation-Based Sample Size Estimation in Clinical Prediction Models: Validation of the pmsims R Package
by: Olaniran, Oyebayo Ridwan, et al.
Published: (2026)

Simulated Intervention on Cross-Sectional Nested Data: Development of a Multilevel NIRA Approach
by: Wu, Yiming, et al.
Published: (2025)

Warped multifidelity Gaussian processes for data fusion of skewed environmental data
by: Colombo, Pietro, et al.
Published: (2024)

Bayesian Nonlinear PDE Inference via Gaussian Process Collocation with Application to the Richards Equation
by: Yang, Yumo, et al.
Published: (2025)

Gaussian Process with dissolution spline kernel
by: Murphy, Fiona, et al.
Published: (2024)

Towards Improved Uncertainty Quantification of Stochastic Epidemic Models Using Sequential Monte Carlo
by: Fadikar, Arindam, et al.
Published: (2024)

Generative Bayesian Computation as a Scalable Alternative to Gaussian Process Surrogates
by: Polson, Nick, et al.
Published: (2026)

On the application of Gaussian graphical models to paired data problems
by: Ranciati, Saverio, et al.
Published: (2023)

Bayesian Optimization Sequential Surrogate (BOSS) Algorithm: Fast Bayesian Inference for a Broad Class of Bayesian Hierarchical Models
by: Li, Dayi, et al.
Published: (2024)

Assessing Vaccine Effectiveness in Observational Studies via Nested Trial Emulation
by: DeMonte, Justin B., et al.
Published: (2024)

Gridding and Parameter Expansion for Scalable Latent Gaussian Models of Spatial Multivariate Data
by: Peruzzi, Michele, et al.
Published: (2021)

Scalable Fitting Methods for Multivariate Gaussian Additive Models with Covariate-dependent Covariance Matrices
by: Gioia, Vincenzo, et al.
Published: (2025)

Simulation-Guided Planning of a Target Trial Emulated Cluster Randomized Trial for Mass Small-Quantity Lipid Nutrient Supplementation Combined with Expanded Program on Immunization in Rural Niger
by: Alam, Shomoita, et al.
Published: (2025)

Adjusting for Selection Bias Due to Missing Eligibility Criteria in Emulated Target Trials
by: Benz, Luke, et al.
Published: (2024)

Heterogeneous Clinical Trial Outcomes via Multi-Output Gaussian Processes
by: Thomas, Owen, et al.
Published: (2024)

Statistical Process Monitoring based on Functional Data Analysis
by: Centofanti, Fabio
Published: (2025)

ldmppr: Location Dependent Marked Point Processes in R
by: Drew, Lane, et al.
Published: (2026)

Bhirkuti's Relative Efficiency (BRE): Examining its Performance in Psychometric Simulations
by: Bhusal, Aneel, et al.
Published: (2025)

Probabilistic Inversion Modeling of Gas Emissions: A Gradient-Based MCMC Estimation of Gaussian Plume Parameters
by: Newman, Thomas, et al.
Published: (2024)

A Direct Importance Sampling-based Framework for Rare Event Uncertainty Quantification in Non-Gaussian Spaces
by: Eshra, Elsayed, et al.
Published: (2024)

Hierarchical additive interaction modelling with Gaussian process prior and its efficient implementation for multidimensional grid data
by: Ishida, Sahoko, et al.
Published: (2023)

Integrated Gaussian Processes for Robust and Adaptive Multi-Object Tracking
by: Lydeard, Fred, et al.
Published: (2025)

Process-based Inference for Spatial Energetics Using Bayesian Predictive Stacking
by: Wakayama, Tomoya, et al.
Published: (2024)

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

Joint Modeling of Longitudinal EHR Data with Shared Random Effects for Informative Visiting and Observation Processes
by: Yang, Cheng-Han, et al.
Published: (2026)

Practical considerations for Gaussian Process modeling for causal inference quasi-experimental studies with panel data
by: Vega, Sofia L., 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)

New Pilot-Study Design in Functional Data Analysis
by: Huang, Ping-Han, et al.
Published: (2025)

Imputation of Nonignorable Missing Data in Surveys Using Auxiliary Margins Via Hot Deck and Sequential Imputation
by: Yang, Yanjiao, et al.
Published: (2024)

Adaptive Designs in Fast-Track Registration Processes for Digital Health Applications
by: Kluge, Liane, et al.
Published: (2025)

Causal-ICM: A Data Fusion Framework For Heterogeneous Treatment Effect Estimation With Multi-Task Gaussian Processes
by: Dimitriou, Evangelos, et al.
Published: (2024)