15 citations · 22 across the 5 of their papers we have counts for
5 papers · 1 filter
Modeling and Active Learning for Experiments with Quantitative-Sequence Factors
Qian Xiao, Yaping Wang, Abhyuday Mandal +1
A new type of experiment that aims to determine the optimal quantities of a sequence of factors is eliciting considerable attention in medical science, bioengineering, and many oth…
EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors
Qian Xiao, Abhyuday Mandal, C. Devon Lin +1
Computer experiments with both quantitative and qualitative (QQ) inputs are commonly used in science and engineering applications. Constructing desirable emulators for such compute…
LowCon: A design-based subsampling approach in a misspecified linear modeL
Cheng Meng, Rui Xie, Abhyuday Mandal +3
We consider a measurement constrained supervised learning problem, that is, (1) full sample of the predictors are given; (2) the response observations are unavailable and expensive…
Optimal Crossover Designs for Generalized Linear Models
Jeevan Jankar, Abhyuday Mandal, Jie Yang
We identify locally -optimal crossover designs for generalized linear models. We use generalized estimating equations to estimate the model parameters along with their variances…
A Hierarchical Bayes Unit-Level Small Area Estimation Model for Normal Mixture Populations
Shuchi Goyal, Gauri Sankar Datta, Abhyuday Mandal
National statistical agencies are regularly required to produce estimates about various subpopulations, formed by demographic and/or geographic classifications, based on a limited…