ENBIS-22 Trondheim Conference

Session

INVITED North American

28 Jun 2022, 08:30

EL5

Conveners

INVITED North American

• Bjarne Bergquist (Luleå University of Technology)

47. Entropy-based adaptive design for contour finding and estimating reliability

Robert Gramacy (Virginia Tech)

28/06/2022, 08:30

Other/special session/invited session

In reliability analysis, methods used to estimate failure probability are often limited by the costs associated with model evaluations. Many of these methods, such as multifidelity importance sampling (MFIS), rely upon a computationally efficient, surrogate model like a Gaussian process (GP) to quickly generate predictions. The quality of the GP fit, particularly in the vicinity of the failure...

28. Predicting Pangolin Lineage Call Success with Coverage Rates of SARS-CoV-2 Genomic Samples

Tim Robinson (University of Wyoming)

28/06/2022, 09:00

Other/special session/invited session

Polymerase Chain Reaction (PCR) diagnostic tests for the SARS-CoV-2 virus (COVID) have been commonplace during the global pandemic. PCR tests involve genomic sequencing of saliva samples. Genomic sequencing allows scientists to identify the presence and evolution of COVID. When a sample is run through a sequencer, the sequencer will make a read on each genomic base pair and the number of times...

132. Data Preparation and Model Evaluation: The Interface of Machine Learning and Statistics

Dr Fadel M. Megahed (Farmer School of Business, Miami University (OH))

28/06/2022, 09:30

Other/special session/invited session

Although confirmatory modeling has dominated much of applied research in medical, business, and behavioral sciences, modeling large data sets with the goal of accurate prediction has become more widely accepted. The current practice for fitting and evaluating predictive models is guided by heuristic-based modeling frameworks that lead researchers to make a series of often isolated decisions...