Abhyuday Mandal | DeepAI

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∙ 11/02/2022

Solving an Inverse Problem for Time Series Valued Computer Simulators via Multiple Contour Estimation

Computer simulators are often used as a substitute of complex real-life ...

0 Pritam Ranjan, et al. ∙

∙ 09/06/2022

Modeling and Active Learning for Experiments with Quantitative-Sequence Factors

A new type of experiment that aims to determine the optimal quantities o...

0 Qian Xiao, et al. ∙

∙ 03/18/2022

EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors

Computer experiments with both quantitative and qualitative (QQ) inputs ...

0 Qian Xiao, et al. ∙

∙ 10/23/2020

LowCon: A design-based subsampling approach in a misspecified linear modeL

We consider a measurement constrained supervised learning problem, that ...

0 Cheng Meng, et al. ∙

∙ 10/19/2020

Musings about Constructions of Efficient Latin Hypercube Designs with Flexible Run-sizes

Efficient Latin hypercube designs (LHDs), including maximin distance LHD...

0 Hongzhi Wang, et al. ∙

∙ 10/18/2020

Inverse Problem for Dynamic Computer Simulators via Multiple Scalar-valued Contour Estimation

In this paper we consider a dynamic computer simulator that produces a t...

0 Joseph Resch, et al. ∙

∙ 01/17/2020

Optimal Crossover Designs for Generalized Linear Models

We identify locally D-optimal crossover designs for generalized linear m...

0 Jeevan Jankar, et al. ∙

∙ 10/28/2019

A Hierarchical Bayes Unit-Level Small Area Estimation Model for Normal Mixture Populations

National statistical agencies are regularly required to produce estimate...

0 Shuchi Goyal, et al. ∙

∙ 04/04/2019

A-ComVar: A Flexible Extension of Common Variance Design

We consider nonregular fractions of factorial experiments for a class of...

0 Shrabanti Chowdhury, et al. ∙

∙ 09/09/2017

Inverse Mapping for Rainfall-Runoff Models using History Matching Approach

In this paper, we consider two rainfall-runoff computer models. The firs...

0 Natalia V. Bhattacharjee, et al. ∙

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