Jin Chu Wu

Publications

A Way of Estimating the Standard Errors of Bayes Factor and Weight of Evidence – A Case Study (Theoretical Framework)

March 27, 2023

Author(s)

Jin Chu Wu, John M. Libert

The Weight of Evidence (WoE) is defined to be the logarithm of the Bayes factor (BF) with base 10, which is generally with single point hypothesis rather than

Standard Errors and Significance Testing in Data Analysis for Testing Classifiers

July 19, 2021

Author(s)

Jin Chu Wu, Raghu N. Kacker

The one-classifier and two-classifier significance testing for evaluation and comparison of classifiers are conducted to investigate the statistical

Monte Carlo studies of bootstrap variability in ROC analysis with data dependency

August 1, 2019

Author(s)

Jin Chu Wu, Alvin F. Martin, Raghu N. Kacker

ROC analysis involving two large datasets is an important method for analyzing statistics of interest for decision making of a classifier in many disciplines

Bootstrap method versus analytical approach for estimating uncertainty of measure in ROC analysis on large datasets

July 17, 2018

Author(s)

Jin Chu Wu, Alvin F. Martin, Gregory A. Sanders, Raghu N. Kacker

The nonparametric two-sample bootstrap is employed to estimate uncertainties of statistics of interest in receiver operating characteristic (ROC) analysis on

A novel measure and significance testing in data analysis of cell image segmentation

April 20, 2017

Author(s)

Jin Chu Wu, Michael W. Halter, Raghu N. Kacker, John T. Elliott, Anne L. Plant

Background: Cell image segmentation (CIS) is an essential part of quantitative imaging of biological cells. Designing a performance measure and conducting

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Jin Chu Wu ()

Publications