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Site URL: jds-online.org/journal/JDS
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Posts: 10
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Rescale Hinge Loss Support Vector Data Description
https://jds-online.org/journal/JDS/article/1425
Published: April 22, 2025 21:00
Significant attention has been drawn to support vector data description (SVDD) due to its exceptional performance in one-class classification and novelty detection tasks. Nevertheless, all slack variables are assigned the same weight during the modeling…
Impact of Data Perturbation for Statistical Disclosure Control on the Predictive Performance of Machine Learning Techniques
https://jds-online.org/journal/JDS/article/1426
Published: April 22, 2025 21:00
The rapid accumulation and release of data have fueled research across various fields. While numerous methods exist for data collection and storage, data distribution presents challenges, as some datasets are restricted, and certain subsets may compromise…
Exact Inference for Transformed Large-Scale Varying Coefficient Models with Applications
https://jds-online.org/journal/JDS/article/1424
Published: April 22, 2025 21:00
Studying migration patterns driven by extreme environmental events is crucial for building a sustainable society and stable economy. Motivated by a real dataset about human migrations, this paper develops a transformed varying coefficient model for origin…
Matched Mass Imputation for Survey Data Integration
https://jds-online.org/journal/JDS/article/1422
Published: April 16, 2025 21:00
Analysis of nonprobability survey samples has gained much attention in recent years due to their wide availability and the declining response rates within their costly probabilistic counterparts. Still, valid population inference cannot be deduced from…
Bayesian Multivariate Joint Modeling of Longitudinal, Recurrent, and Competing Risk Terminal Events in Patients with Chronic Kidney Disease
https://jds-online.org/journal/JDS/article/1421
Published: April 15, 2025 21:00
Approximately 15% of adults in the United States (U.S.) are afflicted with chronic kidney disease (CKD). For CKD patients, the progressive decline of kidney function is intricately related to hospitalizations due to cardiovascular disease and eventual…
The Double Descent Behavior in Two Layer Neural Network for Binary Classification
https://jds-online.org/journal/JDS/article/1420
Published: March 31, 2025 21:00
Recent studies observed a surprising concept on model test error called the double descent phenomenon where the increasing model complexity decreases the test error first and then the error increases and decreases again. To observe this, we work on a…
Restricted Mean Survival Time for a Randomized Study with Survival Outcome
https://jds-online.org/journal/JDS/article/1419
Published: March 30, 2025 21:00
When comparing two survival curves, three tests are widely used: the Cox proportional hazards test, the logrank test, and the Wilcoxon test. Despite their popularity in survival data analysis, there is no clear clinical interpretation especially when the…
Neural Network for Correlated Survival Outcomes Using Frailty Model
https://jds-online.org/journal/JDS/article/1418
Published: March 25, 2025 22:00
Extensive literature has been proposed for the analysis of correlated survival data. Subjects within a cluster share some common characteristics, e.g., genetic and environmental factors, so their time-to-event outcomes are correlated. The frailty model…
L-Moments Estimations for Mixture of Weibull Distributions
https://jds-online.org/journal/JDS/article/1238
Published: March 3, 2025 22:00
Abstract: Mixture of Weibull distributions has wide application in modeling of heterogeneous data sets. The parameter estimation is one of the most important problems related to mixture of Weibull distributions. In this pa per, we propose a L-moment…
High-dimensional Confounding in Causal Mediation: A Comparison Study of Double Machine Learning and Regularized Partial Correlation Network
https://jds-online.org/journal/JDS/article/1417
Published: March 2, 2025 22:00
In causal mediation analyses, of interest are the direct or indirect pathways from exposure to an outcome variable. For observation studies, massive baseline characteristics are collected as potential confounders to mitigate selection bias, possibly…