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James M. McGree · Study

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James M. McGree

4 works· latest 2017· 1 institutionscluster: provisionalORCID 0000-0003-2997-8929

h-index4

i104

Citations444

Works here4

12

15

17

Most cited in this library

A Review of Modern Computational Algorithms for Bayesian Optimal Design2015 · 312 citations
Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data2012 · 51 citations
Principles of Experimental Design for Big Data Analysis2017 · 45 citations
An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions2017 · 36 citations

Works

4 shown

Principles of Experimental Design for Big Data Analysis

Statistical Science·2017·6 authors·Open access

45citations

An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions

Statistics and Computing·2017·3 authors·Open access

36citations

A Review of Modern Computational Algorithms for Bayesian Optimal Design

International Statistical Review·2015·4 authors·Open access

312citations

Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data

Computational Statistics & Data Analysis·2012·3 authors·Open access

51citations