Cover Image

Design of Experiments for Emulations: A Selective Review from a Modeling Perspective

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Deng, Xinwei, Kang, Lulu, Lin, C. Devon
Format:	Preprint
Published:	2025
Subjects:	Methodology G.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Kernel Discrepancy-Based Rerandomization for Controlled Experiments
by: Li, Yiou, et al.
Published: (2019)

Locally Optimal Design for A/B Testing in the Presence of Covariates and Network Connection
by: Zhang, Qiong, et al.
Published: (2020)

Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input
by: Kang, Lulu, et al.
Published: (2025)

Active Learning of Computer Experiment with both Quantitative and Qualitative Inputs
by: Shahrokhian, Anita, et al.
Published: (2025)

Collaborative Design of Controlled Experiments in the Presence of Subject Covariates
by: Fisher, William, et al.
Published: (2024)

Collaborative Analysis for Paired A/B Testing Experiments
by: Zhang, Qiong, et al.
Published: (2024)

A Maximin $Φ_{p}$-Efficient Design for Multivariate GLM
by: Li, Yiou, et al.
Published: (2020)

A Latent Shrinkage Position Model for Binary and Count Network Data
by: Gwee, Xian Yao, et al.
Published: (2022)

A Preferential Latent Space Model for Text Networks
by: Zhang, Maoyu, et al.
Published: (2024)

A Generative Approach to Joint Modeling of Quantitative and Qualitative Responses
by: Kang, Xiaoning, et al.
Published: (2021)

Adaptive Multi-Prior Lasso for High-Dimensional Generalized Linear Models
by: Xu, Fuzhi, et al.
Published: (2026)

Enhancing Dose Selection in Phase I Cancer Trials: Extending the Bayesian Logistic Regression Model with Non-DLT Adverse Events Integration
by: Nizzardo, Andrea, et al.
Published: (2024)

Selection and Collider Restriction Bias Due to Predictor Availability in Prognostic Models
by: Delord, Marc
Published: (2026)

Z-Curve Plot: A Visual Diagnostic for Publication Bias in Meta-Analysis
by: Bartoš, František, et al.
Published: (2025)

Bayesian Auxiliary Variable Model for Birth Records Data with Qualitative and Quantitative Responses
by: Kang, Xiaoning, et al.
Published: (2020)

Semiparametric Growth-Curve Modeling in Hierarchical, Longitudinal Studies
by: Selukar, Rajesh
Published: (2025)

Bias Correction in Factor-Augmented Regression Models with Weak Factors
by: Jiang, Peiyun, et al.
Published: (2025)

A mixture logistic model for panel data with a Markov structure
by: Cheng, Yu-Hsiang, et al.
Published: (2023)

Fisher's ideas and the design of field experiments in agronomy and plant breeding
by: Piepho, Hans-Peter
Published: (2026)

HiMAP: Hilbert Mass-Aligned Parameterization for Multivariate Barycenters and Frećhet Regression
by: Wang, Tao, et al.
Published: (2026)

Detecting Changes in Production Frontiers
by: Gavioli-Akilagun, Shakeel, et al.
Published: (2026)

Generalized Tensor Completion with Non-Random Missingness
by: Zhang, Maoyu, et al.
Published: (2025)

Low quality exposure and point processes with a view to the first phase of a pandemic
by: Gámiz, María Luz, et al.
Published: (2023)

Monitoring a developing pandemic with available data
by: Gámiz, María Luz, et al.
Published: (2023)

The chiPower transformation: a valid alternative to logratio transformations in compositional data analysis
by: Greenacre, Michael
Published: (2022)

Integrating Expert Knowledge and Recursive Bayesian Inference: A Framework for Spatial and Spatio-Temporal Data Challenges
by: Figueira, Mario, et al.
Published: (2025)

Using shrinkage methods to estimate treatment effects in overlapping subgroups in randomized clinical trials with a time-to-event endpoint
by: Wolbers, Marcel, et al.
Published: (2024)

Modelling Stochastic Inflow Patterns to a Reservoir with a Hidden Phase-Type Markov Model
by: Gamiz, M. L., et al.
Published: (2025)

Orthogonal Arrays: A Review
by: Lin, C. Devon, et al.
Published: (2025)

A Survey of Methods, Challenges and Perspectives in Causality
by: Gendron, Gaël, et al.
Published: (2023)

Generative modelling of multivariate geometric extremes using normalising flows
by: De Monte, Lambert, et al.
Published: (2025)

Asymptotically Optimal Knockoff Statistics via the Masked Likelihood Ratio
by: Spector, Asher, et al.
Published: (2022)

Data-adaptive structural change-point detection via isolation
by: Anastasiou, Andreas, et al.
Published: (2024)

Model-based Clustering for Network Data via a Latent Shrinkage Position Cluster Model
by: Gwee, Xian Yao, et al.
Published: (2023)

Meta-Analysis with JASP, Part I: Classical Approaches
by: Bartoš, František, et al.
Published: (2025)

Meta-Analysis with JASP, Part II: Bayesian Approaches
by: Bartoš, František, et al.
Published: (2025)

Sample size planning for estimating the global win probability with assurance and precision
by: Shu, Di, et al.
Published: (2024)

Statistical Inferences and Predictions for Areal Data and Spatial Data Fusion with Hausdorff--Gaussian Processes
by: Godoy, Lucas da Cunha, et al.
Published: (2022)

Efficient Bayes Factor Sensitivity Analysis via Posterior Density Ratios
by: Bartoš, František, et al.
Published: (2026)

Simultaneous Estimation of Ballpark Effects and Team Defense Using Total Bases Residuals
by: Wu, Jhe-Jia, et al.
Published: (2026)