Match!
Jerome Sacks
Research Triangle Park
StatisticsEconometricsMathematicsComputer scienceComputer experiment
58Publications
25H-index
3,468Citations
What is this?
Publications 57
Newest
Two different approaches to the prediction problem are compared employing a realistic example---combustion of natural gas---with 102 uncertain parameters and 76 quantities of interests. One approach, termed bound-to-bound data collaboration (abbreviated to B2B), deploys semidefinite programming algorithms where the initial bounds on unknowns are combined with initial bounds of experimental data to produce new uncertainty bounds for the unknowns that are consistent with the data and, finally, det...
13 CitationsSource
#1Daniel KieferH-Index: 1
#2Jerome SacksH-Index: 25
Last. Donald Ylvisaker (UCLA: University of California, Los Angeles)H-Index: 15
view all 3 authors...
A sidelining of statistical evidence in civil rights cases has been 30 years in the making. By Daniel Kiefer, Jerome Sacks and Donald Ylvisaker
1 CitationsSource
#1Hao ChenH-Index: 2
#2Jason L. LoeppkyH-Index: 10
Last. William J. WelchH-Index: 26
view all 4 authors...
Statistical methods based on a regression model plus a zero-mean Gaussian process (GP) have been widely used for predicting the output of a deterministic computer code. There are many suggestions in the literature for how to choose the regression component and how to model the correlation structure of the GP. This article argues that comprehensive, evidence-based assessment strategies are needed when comparing such modeling options. Otherwise, one is easily misled. Applying the strategies to sev...
13 CitationsSource
#1Stephen P. KleinH-Index: 24
#2Jerome SacksH-Index: 25
Last. David A. FreedmanH-Index: 54
view all 3 authors...
Ecological regression is a statistical mainstay in litigation brought under the voting Rights Act of1965. However, this technique depends on the extremely powerful?and highly questionable?constancy assumption. Loewen and Grofinan have proposed five checks to see whether the constancy assumption is valid. This article shows that these five checks cannot do the job. Indeed, the five checks can be passed with flying colors even when the constancy assumption fails and, for example, the data conform ...
2 Citations
#2Jerome SacksH-Index: 25
Last. William J. WelchH-Index: 26
view all 5 authors...
#2Jason L. LoeppkyH-Index: 10
Last. Jerome SacksH-Index: 25
view all 3 authors...
This is an exchange between Jerome Sacks and Donald Ylvisaker covering their career paths along with some related history and philosophy of Statistics.
2 CitationsSource
#1Jason L. LoeppkyH-Index: 10
#2Jerome SacksH-Index: 25
Last. William J. WelchH-Index: 26
view all 3 authors...
We provide reasons and evidence supporting the informal rule that the number of runs for an effective initial computer experiment should be about 10 times the input dimension. Our arguments quantify two key characteristics of computer codes that affect the sample size required for a desired level of accuracy when approximating the code via a Gaussian process (GP). The first characteristic is the total sensitivity of a code output variable to all input variables; the second corresponds to the way...
290 CitationsSource
#1Baohong WanH-Index: 1
#2Nagui M. Rouphail (NCSU: North Carolina State University)H-Index: 33
Last. Jerome Sacks (RTP: Research Triangle Park)H-Index: 25
view all 3 authors...
Effective and feasible procedures for validating microscopic, stochastic traffic simulation models are in short supply. Exercising such microsimulators many times may lead to the occurrence of traffic gridlock (or simulation failures) on some or all replications. Whereas lack of failures does not ensure validity of the simulator for predicting performance, the occurrence of failures can provide clues for identifying deficiencies of the simulation model and invite strategies for model improvement...
1 CitationsSource
#1Baohong WanH-Index: 1
#2Nagui M. RouphailH-Index: 33
Last. Jerome SacksH-Index: 25
view all 3 authors...
Effective and feasible procedures for validating microscopic, stochastic traffic simulation models are in short supply. Exercising such microsimulators many times may lead to the occurrence of traffic gridlock (or simulation failures) on some or all replications. Whereas lack of failures does not ensure validity of the simulator for predicting performance, the occurrence of failures can provide clues for identifying deficiencies of the simulation model and invite strategies for model improvement...
Source
123456