Explanipedia

Scaling Intelligence Through Model Merging: A Comprehensive Survey Open

Yingfeng Luo, Ming Wang, Feng Shi, Xiaocui Yang, Dennis K. J. Lin , et al. · 2025

Design and Analysis for Digital Twin Optimization Open

Xueru Zhang, Dennis K. J. Lin, Peiyao Liu · 2025

Digital twins (DTs) provide dynamic, virtual representations of physical systems, facilitating real‐time monitoring, prediction, and optimization through the integration of sensor data, computational models, and feedback mechanisms. Despit…

Data Quality: What if Deming Were Born Today? Open

Dennis K. J. Lin, Nicholas Rios · 2025

If Francis Bacon were born today, he might have said “data is power” instead of his original saying, “knowledge is power.” In modern society, data is everywhere. In memory of Deming (a guru in quality), this paper attempts to address the f…

Construction of Maximin Distance Latin Hypercube Designs via Good Lattice Point Sets Open

Xueru Zhang, Dennis K. J. Lin, Wei Zheng · 2025

Is There a Future for Stochastic Modeling in Business and Industry in the Era of Machine Learning and Artificial Intelligence? Open

Fabrizio Ruggeri, David Banks, William S. Cleveland, N. I. Fisher, Marcos Escobar‐Anel , et al. · 2025

The paper arises from the experience of Applied Stochastic Models in Business and Industry which has seen, over the years, more and more contributions related to Machine Learning rather than to what was intended as a stochastic model. The …

Novel Subsampling Strategies for Heavily Censored Reliability Data Open

Yong Ruan, Zan Li, Zhaohui Li, Dennis K. J. Lin, Qingpei Hu , et al. · 2024

Computational capability often falls short when confronted with massive data, posing a common challenge in establishing a statistical model or statistical inference method dealing with big data. While subsampling techniques have been exten…

A New Class of Orthogonal Designs With Good Low Dimensional Space-Filling Properties Open

Chunyan Wang, Dennis K. J. Lin, Min‐Qian Liu · 2023

The space-filling property and orthogonality are perhaps two most desirable design properties for computer experiments.The space-filling property is appropriate for Gaussian process models, while orthogonality allows the estimated effects …

A general construction method for component orthogonal arrays Open

Chunyan Wang, Caleb King, Dennis K. J. Lin · 2023

Order‐of‐addition (OofA) experiments have gained renewed attention in recent years, especially in regard to their design. For these experiments, the response is determined by the order in which components are added. A particularly useful d…

Digital Triplet: A Sequential Methodology for Digital Twin Learning Open

Xueru Zhang, Dennis K. J. Lin, Lin Wang · 2023

A digital twin is a simulator of a physical system, which is built upon a series of models and computer programs with real-time data (from sensors or devices). Digital twins are used in various industries, such as manufacturing, healthcare…

Sequential good lattice point sets for computer experiments Open

Xueru Zhang, Min‐Qian Liu, Dennis K. J. Lin, Yongdao Zhou · 2023

Sequential Latin hypercube designs have recently received great attention for computer experiments. Much of the work has been restricted to invariant spaces. The related systematic construction methods are inflexible while algorithmic meth…

Interaction effects in pairwise ordering model Open

Chunyan Wang, Dennis K. J. Lin · 2023

In an order-of-addition (OofA) experiment, the response is a function of the addition order of components. The key objective of the OofA experiments is to find the optimal order of addition. The most popularly used model for OofA experimen…

Data Quality: Comments on “Statistics and Data Science for Cybersecurity” Open

Dennis K. J. Lin · 2023

and Xi for this thoughtful, revolutionary

Adaptive Order-of-Addition Experiments via the Quick-Sort Algorithm Open

Dennis K. J. Lin, Jianbin Chen · 2023

The order-of-addition (OofA) experiment has received a great deal of attention in the recent literature. The primary goal of the OofA experiment is to identify the optimal order in a sequence of m components. All the existing method…

Comments on Xiao-Li Meng’s Double Your Variance, Dirtify Your Bayes, Devour Your Pufferfish, and Draw Your Kidstogram Open

Dennis K. J. Lin · 2023

Publisher: New England Statistical Society, Journal: The New England Journal of Statistics in Data Science, Title: Comments on Xiao-Li Meng’s Double Your Variance, Dirtify Your Bayes, Devour Your Pufferfish, and Draw Your Kidstogram, Autho…

Big Data Model Building Using Dimension Reduction and Sample Selection Open

Lih‐Yuan Deng, Ching‐Chi Yang, Dale Bowman, Dennis K. J. Lin, Henry Horng‐Shing Lu · 2023

It is difficult to handle the extraordinary data volume generated in many fields with current computational resources and techniques. This is very challenging when applying conventional statistical methods to big data. A common approach is…

Big Data Model Building using Dimension Reduction and Sample Selection Open

Lih‐Yuan Deng, Ching‐Chi Yang, Dale Bowman, Dennis K. J. Lin, Henry Horng‐Shing Lu · 2023

It is difficult to handle the extraordinary data volume generated in many fields with current computational resources and techniques. This is very challenging when applying conventional statistical methods to big data. A common approach is…

Adaptive Order-of-Addition Experiments via the Quick-Sort Algorithm Open

Dennis K. J. Lin, Jianbin Chen · 2023

The order-of-addition (OofA) experiment has received a great deal of attention in the recent literature. The primary goal of the OofA experiment is to identify the optimal order in a sequence of m components. All the existing method…

Norman Richard Draper (1931—2022) Open

Dennis K. J. Lin · 2022

The modern quality management movement since the 1980's posed several interesting challenges to the statistics profession.One of these was the need to develop designs for exploratory experiments, where preliminary screening for a large num…

Visualization for Interval Data Open

Muzi Zhang, Dennis K. J. Lin · 2022

Interval data are widely used in many fields, notably in economics, industry, and health areas. Analogous to the scatterplot for single-value data, the rectangle plot and cross plot are the conventional visualization methods for the relati…

Visualization for Interval Data Open

Muzi Zhang, Dennis K. J. Lin · 2022

Interval data are widely used in many fields, notably in economics, industry, and health areas. Analogous to the scatter plot for single-value data, the rectangle plot and cross plot are the conventional visualization methods for the relat…

Analysis Methods for Supersaturated Design: Some Comparisons Open

Runze Li, Dennis K. J. Lin · 2021

Supersaturated designs are very cost-effective with respect to the number of runs and as such are highly desirable in many preliminary studies in industrial experimentation.Variable selection plays an important role in analyzing data from …

Statistical monitoring of the covariance matrix in multivariate processes: A literature review Open

Mohsen Ebadi, Shojaeddin Chenouri, Dennis K. J. Lin, Stefan H. Steiner · 2021

Monitoring several correlated quality characteristics of a process is common in modern manufacturing and service industries. Although a lot of attention has been paid to monitoring the multivariate process mean, not many control charts are…

EQUIVALENT MODELS IN ASSOCIATION RULES ANALYSIS Open

Pannapa Changpetch, Dennis K. J. Lin · 2021

A powerful methodology for exploring relationships among items, association rules analysis can be used to capture a set of rules from any given dataset. Little is known, however, that a single dataset can be represented by more than one se…

A generalized likelihood ratio test for monitoring profile data Open

Yang Liu, Jun Zhu, Dennis K. J. Lin · 2021

Profile data emerges when the quality of a product or process is characterized by a functional relationship among (input and output) variables. In this paper, we focus on the case where each profile has one response variable Y, one …

Testing for COVID-19: Some Statistical Issues Open

Grace Y. Yi, Wenqing He, Dennis K. J. Lin, Chun Ming Yu · 2021

The swift spread of the novel coronavirus is largely attributed to its stealthy transmissions in which infected patients may be asymptomatic or exhibit only flu-like symptoms in the early stage. Undetected transmissions present a remarkabl…

Order-of-addition mixture experiments Open

Nicholas Rios, Dennis K. J. Lin · 2021

In a mixture experiment, m components are mixed to produce a response. The total amount of the mixture is a constant. Existing literature on mixture designs ignores the order of addition of the mixture components. This paper conside…

Designs for order-of-addition experiments Open

Yuna Zhao, Dennis K. J. Lin, Min‐Qian Liu · 2020

The order-of-addition experiment aims at determining the optimal order of adding components such that the response of interest is optimized. Order of addition has been widely involved in many areas, including bio-chemistry, food science, n…

COVID-19: Should We Test Everyone? Open

Grace Y. Yi, Wenqing He, Dennis K. J. Lin, Chunming Yu · 2020

Since the beginning of 2020, the coronavirus disease 2019 (COVID-19) has spread rapidly in the city of Wuhan, P.R. China, and subsequently, across the world. The swift spread of the virus is largely attributed to its stealth transmissions …

Statistical Monitoring of the Covariance Matrix in Multivariate\n Processes: A Literature Review Open

Mohsen Ebadi, Shojaeddin Chenouri, Dennis K. J. Lin, Stefan H. Steiner · 2020

Monitoring several correlated quality characteristics of a process is common\nin modern manufacturing and service industries. Although a lot of attention has\nbeen paid to monitoring the multivariate process mean, not many control charts\n…

Author Index Open

Joseph A. Adams, Michael Adams, Arakawa Takatoshi, Daniel K. Arce, Brandon E. Aubol , et al. · 2018

Dennis K. J. Lin YOU? Author Swipe