ForLion: A New Algorithm for D-optimal Designs under General Parametric Statistical Models with Mixed Factors
Fuente:
arXiv
Guardado en:
| Autores principales: | Huang, Yifei, Li, Keren, Mandal, Abhyuday, Yang, Jie |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
ForLion: An R Package for Finding Optimal Experimental Designs with Mixed Factors
por: Lin, Siting, et al.
Publicado: (2025)
por: Lin, Siting, et al.
Publicado: (2025)
Expected Weighted D-optimal Designs for Experiments with Mixed Factors
por: Lin, Siting, et al.
Publicado: (2025)
por: Lin, Siting, et al.
Publicado: (2025)
A-optimal Designs under Generalized Linear Models
por: Yang, Yingying, et al.
Publicado: (2025)
por: Yang, Yingying, et al.
Publicado: (2025)
Constrained D-optimal Design for Paid Research Study
por: Huang, Yifei, et al.
Publicado: (2022)
por: Huang, Yifei, et al.
Publicado: (2022)
Credible Distributions of Overall Ranking of Entities
por: Chatterjee, Snigdhansu, et al.
Publicado: (2024)
por: Chatterjee, Snigdhansu, et al.
Publicado: (2024)
Efficient Computation of High-Dimensional Penalized Generalized Linear Mixed Models by Latent Factor Modeling of the Random Effects
por: Heiling, Hillary M., et al.
Publicado: (2023)
por: Heiling, Hillary M., et al.
Publicado: (2023)
Clustering Hierarchies via a Semi-Parametric Generalized Linear Mixed Model: a statistical significance-based approach
por: Ragni, Alessandra, et al.
Publicado: (2023)
por: Ragni, Alessandra, et al.
Publicado: (2023)
Generalized Tree-Informed Mixed Model Regression
por: Allis, Jeremiah, et al.
Publicado: (2025)
por: Allis, Jeremiah, et al.
Publicado: (2025)
glmmPen: High Dimensional Penalized Generalized Linear Mixed Models
por: Heiling, Hillary M., et al.
Publicado: (2023)
por: Heiling, Hillary M., et al.
Publicado: (2023)
R-VGAL: A Sequential Variational Bayes Algorithm for Generalised Linear Mixed Models
por: Vu, Bao Anh, et al.
Publicado: (2023)
por: Vu, Bao Anh, et al.
Publicado: (2023)
Statistical Inference for Online Algorithms
por: Carter, Selina, et al.
Publicado: (2025)
por: Carter, Selina, et al.
Publicado: (2025)
MM Algorithms for Statistical Estimation in Quantile Regression
por: Cheng, Yifan, et al.
Publicado: (2024)
por: Cheng, Yifan, et al.
Publicado: (2024)
Generalised Linear Mixed Model Specification, Analysis, Fitting, and Optimal Design in R with the glmmr Packages
por: Watson, Samuel I.
Publicado: (2023)
por: Watson, Samuel I.
Publicado: (2023)
Neural Generalized Mixed-Effects Models
por: Slavutsky, Yuli, et al.
Publicado: (2026)
por: Slavutsky, Yuli, et al.
Publicado: (2026)
Bayes Factor of Zero Inflated Models under Jeffereys Prior
por: Pramanik, Paramahansa, et al.
Publicado: (2024)
por: Pramanik, Paramahansa, et al.
Publicado: (2024)
A Framework for Statistical Inference via Randomized Algorithms
por: Zhang, Zhixiang, et al.
Publicado: (2023)
por: Zhang, Zhixiang, et al.
Publicado: (2023)
Robust Tensor Regression with Nonconvexity: Algorithmic and Statistical Theory
por: Song, Zihao, et al.
Publicado: (2026)
por: Song, Zihao, et al.
Publicado: (2026)
A Log-Linear Non-Parametric Online Changepoint Detection Algorithm based on Functional Pruning
por: Romano, Gaetano, et al.
Publicado: (2023)
por: Romano, Gaetano, et al.
Publicado: (2023)
Metric Oja Depth, New Statistical Tool for Estimating the Most Central Objects
por: Zamanifarizhandi, Vida, et al.
Publicado: (2024)
por: Zamanifarizhandi, Vida, et al.
Publicado: (2024)
Stochastic Approximation Cut Algorithm for Inference in Modularized Bayesian Models
por: Liu, Yang, et al.
Publicado: (2020)
por: Liu, Yang, et al.
Publicado: (2020)
Bayesian Compressed Mixed-Effects Models
por: Sarkar, Sreya, et al.
Publicado: (2025)
por: Sarkar, Sreya, et al.
Publicado: (2025)
Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding
por: Rambachan, Ashesh, et al.
Publicado: (2022)
por: Rambachan, Ashesh, et al.
Publicado: (2022)
Statistical Guarantees in the Search for Less Discriminatory Algorithms
por: Hays, Chris, et al.
Publicado: (2025)
por: Hays, Chris, et al.
Publicado: (2025)
Gradient-Based Approximate Bayesian Inference with Entropy-Optimized Summary Statistics for Compartmental Models
por: Li, Xiahui, et al.
Publicado: (2024)
por: Li, Xiahui, et al.
Publicado: (2024)
Guarantees for Comprehensive Simulation Assessment of Statistical Methods
por: Yang, James, et al.
Publicado: (2022)
por: Yang, James, et al.
Publicado: (2022)
Mixed Latent Position Cluster Models for Networks
por: Lu, Chaoyi, et al.
Publicado: (2026)
por: Lu, Chaoyi, et al.
Publicado: (2026)
Approximate Bayesian Computation with Statistical Distances for Model Selection
por: Grazian, Clara
Publicado: (2024)
por: Grazian, Clara
Publicado: (2024)
Regularized Parameter Estimation in Mixed Model Trace Regression
por: Hultman, Ian, et al.
Publicado: (2025)
por: Hultman, Ian, et al.
Publicado: (2025)
A Note on the Output of a Coordinate-Exchange Algorithm for Optimal Experimental Design
por: Strouwen, Arno, et al.
Publicado: (2026)
por: Strouwen, Arno, et al.
Publicado: (2026)
An Optimal Transport-Based Generative Model for Bayesian Posterior Sampling
por: Li, Ke, et al.
Publicado: (2025)
por: Li, Ke, et al.
Publicado: (2025)
Non-Parametric Estimation Techniques of Factor Copula Model using Proxies
por: Ghanbari, Bahareh, et al.
Publicado: (2025)
por: Ghanbari, Bahareh, et al.
Publicado: (2025)
Statistical Models for Repeated Categorical Ratings: The R Package rater
por: Pullin, Jeffrey M., et al.
Publicado: (2020)
por: Pullin, Jeffrey M., et al.
Publicado: (2020)
Statistically Optimal Uncertainty Quantification for Expensive Black-Box Models
por: He, Shengyi, et al.
Publicado: (2024)
por: He, Shengyi, et al.
Publicado: (2024)
A Scalable Variational Bayes Approach for Fitting Non-Conjugate Spatial Generalized Linear Mixed Models via Basis Expansions
por: Lee, Jin Hyung, et al.
Publicado: (2025)
por: Lee, Jin Hyung, et al.
Publicado: (2025)
A Semi-Parametric Bayesian Spatial Model for Rainfall Events in Geographically Complex Domains
por: Onorati, Paolo, et al.
Publicado: (2025)
por: Onorati, Paolo, et al.
Publicado: (2025)
Advances in Bayesian Modeling: Applications and Methods
por: Yan, Yifei, et al.
Publicado: (2025)
por: Yan, Yifei, et al.
Publicado: (2025)
Optimal Exact Designs of Multiresponse Experiments under Linear and Sparsity Constraints
por: Filová, Lenka, et al.
Publicado: (2025)
por: Filová, Lenka, et al.
Publicado: (2025)
A New Fit Assessment Framework for Common Factor Models Using Generalized Residuals
por: Sung, Youjin, et al.
Publicado: (2024)
por: Sung, Youjin, et al.
Publicado: (2024)
Statistical Inference for Covariate-Adjusted and Interpretable Generalized Factor Model with Application to Testing Fairness
por: Ouyang, Jing, et al.
Publicado: (2024)
por: Ouyang, Jing, et al.
Publicado: (2024)
Optimal Sampling for Generalized Linear Model under Measurement Constraint with Surrogate Variables
por: Shen, Yixin, et al.
Publicado: (2025)
por: Shen, Yixin, et al.
Publicado: (2025)
Ejemplares similares
-
ForLion: An R Package for Finding Optimal Experimental Designs with Mixed Factors
por: Lin, Siting, et al.
Publicado: (2025) -
Expected Weighted D-optimal Designs for Experiments with Mixed Factors
por: Lin, Siting, et al.
Publicado: (2025) -
A-optimal Designs under Generalized Linear Models
por: Yang, Yingying, et al.
Publicado: (2025) -
Constrained D-optimal Design for Paid Research Study
por: Huang, Yifei, et al.
Publicado: (2022) -
Credible Distributions of Overall Ranking of Entities
por: Chatterjee, Snigdhansu, et al.
Publicado: (2024)