Designs for Generalized Linear Models
Methodology
2015-10-20 v1
Abstract
This paper reviews the design of experiments for generalised linear models, including optimal design, Bayesian design and designs for models with random effects.
Cite
@article{arxiv.1510.05253,
title = {Designs for Generalized Linear Models},
author = {Anthony C. Atkinson and David C. Woods},
journal= {arXiv preprint arXiv:1510.05253},
year = {2015}
}
Related papers
View all related →
Methodology · Statistics
On Efficient Design of Pilot Experiment for Generalized Linear Models
Yiou Li, Xinwei Deng
2021-03-23
Methodology · Statistics
Bayesian design of experiments for generalised linear models and dimensional analysis with industrial and scientific application
David C. Woods, Antony M. Overstall, Maria Adamou, Timothy W. Waite
2017-01-03
Statistics Theory · Mathematics
A note on locally optimal designs for generalized linear models with restricted support
Osama Idais
2019-06-26
Statistics Theory · Mathematics
Design Issues for Generalized Linear Models: A Review
André I. Khuri, Bhramar Mukherjee, Bikas K. Sinha, Malay Ghosh
2016-08-14
Computation · Statistics
Bayesian Crossover Designs for Generalized Linear Models
Satya Prakash Singh, Siuli Mukhopadhyay
2018-08-16
Statistics Theory · Mathematics
In- and Equivariance for Optimal Designs in Generalized Linear Models: The Gamma Model
Osama Idais, Rainer Schwabe
2020-11-20
Statistics Theory · Mathematics
D-optimal Factorial Designs under Generalized Linear Models
Jie Yang, Abhyuday Mandal
2013-05-06
Methodology · Statistics
A General Equivalence Theorem for Crossover Designs under Generalized Linear Models
Jeevan Jankar, Jie Yang, Abhyuday Mandal
2023-09-11
Methodology · Statistics
Bayesian design of experiments for intractable likelihood models using coupled auxiliary models and multivariate emulation
Antony M. Overstall, James M. McGree
2019-01-16
Computational Engineering, Finance, and Science · Computer Science
Generalized linearization in nonlinear modeling of data
W. Chen
2024-09-21
Methodology · Statistics
Bayesian optimal design for ordinary differential equation models with application in biological science
Antony Overstall, David Woods, Ben Parker
2019-05-02
Methodology · Statistics
Bayesian decision-theoretic design of experiments under an alternative model
Antony M. Overstall, James M. McGree
2021-08-10
Methodology · Statistics
An Efficient Algorithm for Elastic I-optimal Design of Generalized Linear Models
Yiou Li, Xinwei Deng
2020-04-21
Computation · Statistics
An Induced Natural Selection Heuristic for Finding Optimal Bayesian Experimental Designs
David J. Price, Nigel G. Bean, Joshua V. Ross, Jonathan Tuke
2018-03-14
Methodology · Statistics
Optimal two-level choice designs for the main effects and specified interaction effects model
Soumen Manna
2015-10-29
Methodology · Statistics
Bayesian optimal designs for dose-response curves with common parameters
Kirsten Schorning, Maria Konstantinou
2017-11-16
Statistics Theory · Mathematics
Locally optimal designs for generalized linear models within the family of Kiefer $\Phi_k$-criteria
Osama Idais
2019-06-06
Applications · Statistics
Optimal designs for multi-response generalized linear models with applications in thermal spraying
Holger Dette, Laura Hoyden, Sonja Kuhnt, Kirsten Schorning
2013-12-17
Methodology · Statistics
Large Datasets, Bias and Model Oriented Optimal Design of Experiments
Elena Pesce, Eva Riccomagno
2018-12-03
Statistics Theory · Mathematics
Design of $c$-Optimal Experiments for High dimensional Linear Models
Hamid Eftekhari, Moulinath Banerjee, Ya'acov Ritov
2020-10-27
Machine Learning · Computer Science
Bayesian Experimental Design for Symbolic Discovery
Kenneth L. Clarkson, Cristina Cornelio, Sanjeeb Dash, Joao Goncalves +2
2022-11-30
Methodology · Statistics
Dynamic generalized linear models for non-Gaussian time series forecasting
K. Triantafyllopoulos
2008-02-05
Methodology · Statistics
Robust Estimation in Generalised Linear Models : The Density Power Divergence Approach
Abhik Ghosh, Ayanendranath Basu
2016-07-04
Methodology · Statistics
Generalised Bayes Linear Inference
Lachlan Astfalck, Cassandra Bird, Daniel Williamson
2024-10-18
Machine Learning · Statistics
Efficient Bayesian Experimental Design for Implicit Models
Steven Kleinegesse, Michael Gutmann
2019-02-26