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4,384 Results Found

  • Article
  • Open Access
480 Views
25 Pages

24 December 2025

This article examines the challenges and opportunities in extracting causal information from text with Large Language Models (LLMs). It first establishes the importance of causality extraction and then explores different views on causality, including...

  • Article
  • Open Access
15 Citations
5,721 Views
24 Pages

Bibliometric Analysis of Granger Causality Studies

  • Weng Siew Lam,
  • Weng Hoe Lam,
  • Saiful Hafizah Jaaman and
  • Pei Fun Lee

7 April 2023

Granger causality provides a framework that uses predictability to identify causation between time series variables. This is important to policymakers for effective policy management and recommendations. Granger causality is recognized as the primary...

  • Article
  • Open Access
4 Citations
2,275 Views
12 Pages

13 August 2022

In this study, causalities of COVID-19 across a group of seventy countries are analyzed with effective transfer entropy. To reveal the causalities, a weighted directed network is constructed. In this network, the weights of the links reveal the stren...

  • Article
  • Open Access
6 Citations
4,600 Views
17 Pages

15 May 2023

The goal of this study is to detect linear and nonlinear causal pathways toward climate change as measured by changes in global mean surface temperature and global mean sea level over time using a data-based approach in contrast to the traditional ph...

  • Article
  • Open Access
2 Citations
3,964 Views
14 Pages

20 June 2023

Granger causality (GC) is a popular method in causal linkage recovery and has been applied to various fields, such as economics and neuroscience. While the conventional Granger causality model is capable of identifying symmetrical causal relationship...

  • Article
  • Open Access
65 Citations
10,144 Views
26 Pages

18 October 2018

Policymaking requires an in-depth understanding of the cause-and-effect relationships between the sustainable development goals. However, due to the complex nature of socio-economic and environmental systems, this is still a challenging task. In the...

  • Article
  • Open Access
1 Citations
4,019 Views
15 Pages

Blockchain Bottleneck Analysis Based on Performance Metrics Causality

  • Weihu Song,
  • Mengxiao Zhu,
  • Dong Lu,
  • Chen Zhu,
  • Jiejie Zhao,
  • Yi Sun,
  • Lei Li and
  • Haogang Zhu

29 October 2024

With the widespread application of blockchain technology across various industries, detecting and analyzing performance bottlenecks is crucial for evaluating and optimizing blockchain system performance. However, current research needs general perfor...

  • Article
  • Open Access
4 Citations
2,789 Views
19 Pages

24 May 2022

This paper develops a data-driven fault tree methodology that addresses the problem of the fault prognosis of an aging system based on an interpretable time causality analysis model. The model merges the concepts of knowledge discovery in the dataset...

  • Article
  • Open Access
8 Citations
2,062 Views
18 Pages

9 May 2023

This paper presents the results of an analysis of causality detection in a multi-loop control system. The investigation focuses on application of the Transfer Entropy method, which is not commonly used during the exact construction of information and...

  • Article
  • Open Access
8 Citations
6,334 Views
23 Pages

Video Sensor-Based Complex Scene Analysis with Granger Causality

  • Yawen Fan,
  • Hua Yang,
  • Shibao Zheng,
  • Hang Su and
  • Shuang Wu

11 October 2013

In this report, we propose a novel framework to explore the activity interactions and temporal dependencies between activities in complex video surveillance scenes. Under our framework, a low-level codebook is generated by an adaptive quantization wi...

  • Article
  • Open Access
26 Citations
5,870 Views
17 Pages

30 January 2021

This work investigates the inter-relationships among stream water quality indicators, hydroclimatic variables (e.g., precipitation, river discharge), and land characteristics (e.g., soil type, land use), which is crucial to developing effective metho...

  • Article
  • Open Access
2 Citations
6,155 Views
24 Pages

Automobile-Demand Forecasting Based on Trend Extrapolation and Causality Analysis

  • Zhengzhu Zhang,
  • Haining Chai,
  • Liyan Wu,
  • Ning Zhang and
  • Fenghe Wu

19 August 2024

Accurate automobile-demand forecasting can provide effective guidance for automobile-manufacturing enterprises in terms of production planning and supply planning. However, automobile sales volume is affected by historical sales volume and other exte...

  • Article
  • Open Access
6 Citations
3,892 Views
20 Pages

Machine Learning-Based Causality Analysis of Human Resource Practices on Firm Performance

  • Myeongju Lee,
  • Gyeonghwan Lee,
  • Kihoon Lim,
  • Hyunchul Moon and
  • Jaehyeok Doh

An organization’s human resource management practices are essential for its competitive advantage. This study specifically examined human resource (HR) practices that predict corporate performance (employee turnover and firm sales) based on a b...

  • Article
  • Open Access
7 Citations
4,191 Views
11 Pages

4 April 2022

China is the second largest aviation country in the world. The Chinese aviation industry and economy both developed quickly in the last two decades. However, the interaction mechanisms of aviation and the regional economy were different in each provi...

  • Article
  • Open Access
6 Citations
3,765 Views
18 Pages

15 May 2021

This study aims to explore the causal relationship between fiscal deficit (FD) and current account deficit (CAD) along with policy recommendations based on long-run and short-run dynamics and sensitivities. A panel data span from 1990 to 2019 is anal...

  • Article
  • Open Access
45 Citations
6,617 Views
14 Pages

24 January 2019

A construction defect can cause schedule delay, cost overrun and quality deterioration. In order to minimize these negative impacts of construction defects, this paper aims to analyze the causality of construction defects. Specifically, association r...

  • Article
  • Open Access
9 Citations
3,266 Views
11 Pages

Causality Analysis of the Factors Affecting the Consumer Price of Veal: The Case of Turkey

  • Burak Mat,
  • Mehmet Saltuk Arikan,
  • Mustafa Bahadir Çevrimli,
  • Ahmet Cumhur Akin and
  • Mustafa Agah Tekindal

3 August 2020

It is interesting to identify the reasons and the direction of the correlation between the input/output prices and the macro/micro parameters in animal production processes. In the present study, the time series of the monthly data between the years...

  • Article
  • Open Access
2 Citations
1,889 Views
19 Pages

Background/Objectives: A bidirectional association between inflammatory bowel disease (IBD) and periodontitis has been observed, yet their causal relationship remains unclear. This study aimed to investigate the potential causal links between these t...

  • Article
  • Open Access
9 Citations
2,729 Views
17 Pages

Research on Sinter Quality Prediction System Based on Granger Causality Analysis and Stacking Integration Algorithm

  • Xin Li,
  • Xiaojie Liu,
  • Hongyang Li,
  • Ran Liu,
  • Zhifeng Zhang,
  • Hongwei Li,
  • Qing Lyu and
  • Liangyixin Wen

17 February 2023

Sinter ore quality directly affects the stability of blast furnace production. In terms of both physical and chemical properties, the main indicators of sinter quality are the TFe content, alkalinity, and drum index. By analyzing the massive historic...

  • Article
  • Open Access
7 Citations
3,449 Views
10 Pages

21 September 2023

The efficient management of aviation safety requires the precise analysis of trends in incidents. While classical statistical models often rely on the autocorrelation of indicator sequences for trend fitting, significant room remains for performance...

  • Article
  • Open Access
8 Citations
5,060 Views
25 Pages

Causalized Convergent Cross Mapping and Its Implementation in Causality Analysis

  • Boxin Sun,
  • Jinxian Deng,
  • Norman Scheel,
  • David C. Zhu,
  • Jian Ren,
  • Rong Zhang and
  • Tongtong Li

24 June 2024

Rooted in dynamic systems theory, convergent cross mapping (CCM) has attracted increased attention recently due to its capability in detecting linear and nonlinear causal coupling in both random and deterministic settings. One limitation with CCM is...

  • Article
  • Open Access
2 Citations
1,542 Views
20 Pages

Causal Analysis to Explain the Performance of Algorithms: A Case Study for the Bin Packing Problem

  • Jenny Betsabé Vázquez-Aguirre,
  • Guadalupe Carmona-Arroyo,
  • Marcela Quiroz-Castellanos and
  • Nicandro Cruz-Ramírez

This work presents a knowledge discovery approach through Causal Bayesian Networks for understanding the conditions under which the performance of an optimization algorithm can be affected by the characteristics of the instances of a combinatorial op...

  • Article
  • Open Access
2,643 Views
11 Pages

Dynamic Causality Analysis of COVID-19 Pandemic Risk and Oil Market Changes

  • Mike K. P. So,
  • Jacky N. L. Chan and
  • Amanda M. Y. Chu

Crude oil draws attention in recent research as its demand may indicate world economic growth trend in the post-COVID-19 era. In this paper, we study the dynamic lead–lag relationship between the COVID-19 pandemic and crude oil future prices. We perf...

  • Article
  • Open Access
41 Citations
6,769 Views
18 Pages

In order to prevent safety risks, control marine accidents and improve the overall safety of marine navigation, this study established a marine accident prediction model. The influences of management characteristics, environmental characteristics, pe...

  • Article
  • Open Access
3 Citations
2,846 Views
19 Pages

20 February 2025

Flight Operations Quality Assurance (FOQA) is an internationally recognized solution to ensure the safety of civil aircraft flights based on Quick Access Recorder (QAR) data. The traditional approach to anomaly detection in civil aviation is to detec...

  • Review
  • Open Access
15 Citations
6,314 Views
15 Pages

27 November 2017

Large numbers of quantitative trait loci (QTL) affecting complex diseases and other quantitative traits have been reported in humans and model animals. However, the genetic architecture of these traits remains elusive due to the difficulty in identif...

  • Article
  • Open Access
460 Views
28 Pages

28 November 2025

Fatigue driving of freight vehicles is a major threat to transport safety, often causing heavy casualties and property losses. However, existing studies only focus on superficial correlations between fatigue driving and influencing factors, failing t...

  • Article
  • Open Access
5 Citations
4,093 Views
21 Pages

Causal Analysis of Ecological Impairment in Land Ecosystem on a Regional Scale: Applied to a Mining City Daye, China

  • Kai Guo,
  • Yiyun Chen,
  • Min Chen,
  • Chaojun Wang,
  • Zeyi Chen,
  • Weinan Cai,
  • Renjie Li,
  • Weiming Feng and
  • Ming Jiang

17 May 2021

We adopted a weight of evidence approach to establish a causal analysis of an impaired land ecosystem on a regional scale; namely, Daye, a traditional mining city in China. Working processes, including problem statements, a list of candidate causes,...

  • Article
  • Open Access
72 Citations
7,795 Views
14 Pages

28 May 2021

Causality analysis is an important problem lying at the heart of science, and is of particular importance in data science and machine learning. An endeavor during the past 16 years viewing causality as a real physical notion so as to formulate it fro...

  • Article
  • Open Access
5 Citations
1,548 Views
22 Pages

20 February 2025

In the context of economic globalization, waterborne transportation plays an important role in international trade and logistics. However, waterborne traffic accidents pose a severe threat to life, property safety, and the environment. To gain a deep...

  • Article
  • Open Access
840 Views
28 Pages

21 October 2025

Pavement performance prediction serves as a core basis for maintenance decision-making. Although numerous studies have been conducted, most focus on road segments and aggregate indicators such as IRI and PCI, with limited attention to the daily deter...

  • Article
  • Open Access
7 Citations
4,887 Views
25 Pages

11 November 2019

Over the past few years, online learning has exploded in popularity due to the potentially unlimited enrollment, lack of geographical limitations, and free accessibility of many courses. However, learners are prone to have poor performance due to the...

  • Article
  • Open Access
1,803 Views
16 Pages

25 April 2024

Missing data problems arise in randomized trials, which complicates the inference of causal effects if the missing mechanism is non-ignorable. We tackle the challenge of identifying and estimating the complier average causal effect parameters under n...

  • Proceeding Paper
  • Open Access
4 Citations
1,612 Views
13 Pages

Granger Causality Analysis of Air Pollutants and Meteorological Parameters

  • Wong Yee Ping,
  • Zulkifli Abd Rais,
  • Norazrin Ramli,
  • Norazian Mohamed Noor,
  • Ahmad Zia Ul-Saufie,
  • Hazrul Abdul Hamid and
  • Mohd Khairul Nizam Mahmad

This study investigated the relationships between air pollutants (PM10, SO2, NO2, O3, CO) and meteorological parameters (wind speed, relative humidity, ambient temperature) across urban, suburban, and industrial areas in Malaysia from 2017 to 2021. U...

  • Article
  • Open Access
1,572 Views
19 Pages

This study investigates the time-varying causal relationship between China’s economic policy uncertainty (EPU) and housing prices (HP) at the macroeconomic level. Using sub-sample rolling-window techniques on monthly nationwide data spanning Ja...

  • Article
  • Open Access
1 Citations
2,891 Views
22 Pages

30 July 2021

Detecting causal interrelationships in multivariate systems, in terms of the Granger-causality concept, is of major interest for applications in many fields. Analyzing all the relevant components of a system is almost impossible, which contrasts with...

  • Article
  • Open Access
1,127 Views
26 Pages

7 November 2025

Maritime accidents are low-probability, high-consequence events, making mechanism analysis crucial for risk mitigation. Existing studies often focus on single scenarios or factors and frequently mix pre-incident observational data with subjective uns...

  • Systematic Review
  • Open Access
1 Citations
3,555 Views
22 Pages

31 July 2025

Attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are neurodevelopmental disorders with lifelong functional implications. Their potential role as emerging risk factors for cardiovascular diseases (CVDs) is increasingl...

  • Review
  • Open Access
26 Citations
11,036 Views
24 Pages

17 February 2023

Hysteresis in organic field-effect transistors is attributed to the well-known bias stress effects. This is a phenomenon in which the measured drain-source current varies when sweeping the gate voltage from on to off or from off to on. Hysteresis is...

  • Article
  • Open Access
4 Citations
2,446 Views
26 Pages

10 June 2025

This paper presents the use of Copula-based deep learning with Horvitz–Thompson (HT) weights and inverse probability of treatment weighting (IPTW) for estimating propensity scores in causal inference problems. This study compares the performanc...

  • Article
  • Open Access
1,554 Views
14 Pages

A Causal Inference Approach to Mediation Analysis in Vitreomacular Traction: How Much Does Traction Resolution Mediate Functional Outcomes?

  • Benedicte Lescrauwaet,
  • Stijn Vansteelandt,
  • Timothy L. Jackson,
  • SriniVas R. Sadda and
  • Luc Duchateau

Modern mediation analysis techniques supplement the primary intention-to-treat analysis with the aim to shed light onto the treatment mechanism. We investigate to what extent the anatomic marker vitreomacular adhesion resolution (VMAR) mediates visio...

  • Article
  • Open Access
2,012 Views
18 Pages

Causal Inference Framework Reveals Mediterranean Diet Superiority and Inflammatory Mediation Pathways in Mortality Prevention: A Comparative Analysis of Nine Common Dietary Patterns

  • Jianlin Lin,
  • Qiletian Wang,
  • Xiaoxia Liu,
  • Miao Zhou,
  • Zhongwen Feng,
  • Xiuling Ma,
  • Junrong Li,
  • Renyou Gan,
  • Xu Wang and
  • Kefeng Li

6 September 2025

Background/Objectives: While some dietary indices have been developed to assess diet quality and chronic disease risk, their comparative effectiveness within the same population remains unclear due to methodological limitations in observational studi...

  • Article
  • Open Access

5 February 2026

Rockbursts are one of the most critical geomechanical hazards during the construction of deep tunnels under high in situ stress conditions, as they can compromise worker safety, damage infrastructure, and disrupt excavation continuity. Despite extens...

  • Article
  • Open Access
2,274 Views
13 Pages

Space-Time Causality Analysis of Regional Impacts of ENSO on Terrestrial and Oceanic Precipitation

  • Gleisis Alvarez-Socorro,
  • José C. Fernández-Alvarez and
  • Luis Gimeno

Future changes are expected in precipitation under climate change, therefore, changes are projected in the oceanic and terrestrial components. However, it remains poorly elucidated how the El Niño–Southern Oscillation (ENSO) can influenc...

  • Article
  • Open Access
6 Citations
2,544 Views
16 Pages

Schizophrenia MEG Network Analysis Based on Kernel Granger Causality

  • Qiong Wang,
  • Wenpo Yao,
  • Dengxuan Bai,
  • Wanyi Yi,
  • Wei Yan and
  • Jun Wang

30 June 2023

Network analysis is an important approach to explore complex brain structures under different pathological and physiological conditions. In this paper, we employ the multivariate inhomogeneous polynomial kernel Granger causality (MKGC) to construct d...

  • Article
  • Open Access
24 Citations
3,538 Views
26 Pages

Use of Hybrid Causal Logic Method for Preliminary Hazard Analysis of Maritime Autonomous Surface Ships

  • Di Zhang,
  • Zhepeng Han,
  • Kai Zhang,
  • Jinfen Zhang,
  • Mingyang Zhang and
  • Fan Zhang

Recently, the safety issue of maritime autonomous surface ships (MASS) has become a hot topic. Preliminary hazard analysis of MASS can assist autonomous ship design and ensure safe and reliable operation. However, since MASS technology is still at it...

  • Article
  • Open Access
7 Citations
6,168 Views
18 Pages

Causal Forest Machine Learning Analysis of Parkinson’s Disease in Resting-State Functional Magnetic Resonance Imaging

  • Gabriel Solana-Lavalle,
  • Michael D. Cusimano,
  • Thomas Steeves,
  • Roberto Rosas-Romero and
  • Pascal N. Tyrrell

6 June 2024

In recent years, Artificial Intelligence has been used to assist healthcare professionals in detecting and diagnosing neurodegenerative diseases. In this study, we propose a methodology to analyze functional Magnetic Resonance Imaging signals and per...

  • Article
  • Open Access
2 Citations
2,561 Views
11 Pages

26 June 2024

In recent years, there has been intense debate in the literature as to whether the Atlantic Multidecadal Oscillation (AMO) is a genuine representation of natural climate variability or is substantially driven by external factors. Here, we perform an...

  • Article
  • Open Access
4 Citations
2,372 Views
17 Pages

16 September 2022

Due to the lack of training data and effective haze disaster prediction model, the research on causality analysis and the risk prediction of haze disaster is mainly qualitative. In order to solve this problem, a nonlinear dynamic prediction model of...

  • Article
  • Open Access
24 Citations
9,004 Views
19 Pages

Multivariate Conditional Granger Causality Analysis for Lagged Response of Soil Respiration in a Temperate Forest

  • Matteo Detto,
  • Gil Bohrer,
  • Jennifer Goedhart Nietz,
  • Kyle D. Maurer,
  • Chris S. Vogel,
  • Chris M. Gough and
  • Peter S. Curtis

9 October 2013

Ecological multivariate systems offer a suitable data set on which to apply recent advances in information theory and causality detection. These systems are driven by the interplay of various environmental factors: meteorological and hydrological for...

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