Academic Articles & Research Papers

Estimation of Time-Varying Coherence and Its Application in Understanding Brain Functional Connectivity

Time-varying coherence is a powerful tool for revealing functional dynamics between different regions in the brain. In this paper, we address ways of estimating evolutionary spectrum and coherence using the general Cohen's class distrib...

Forecasting Warping Deformation Using Multivariate Thermal Time Series and K-Nearest Neighbors in Fused Deposition Modeling

Over the past decades, additive manufacturing has rapidly advanced due to its advantages in enabling diverse material usage and complex design production. Nevertheless, the technology has limitations in terms of quality, as printed products...

A comparative study on chaoticity of equatorial/low latitude ionosphere over Indian subcontinent during geomagnetically quiet and disturbed periods

In the present study, the latitudinal aspect of chaotic behaviour of ionosphere during quiet and storm periods are analyzed and compared by using GPS TEC time series measured at equatorial trough, crest and outside crest stations over India...

Robust histogram-based feature engineering of time series data

Time dynamics of symptom progression in patients with acute pancreatitis: a Dynamic Time Warping analysis

BackgroundAcute pancreatitis (AP) morbidity has been increasing in recent years. Patients with AP exhibit highly variable symptom patterns over time, posting challenges to traditional analytical methods. Dynamic Time Warping (DTW) effective...

Statistical assessment of the learning curves of health technologies

OBJECTIVES: (1) To describe systematically studies that directly assessed the learning curve effect of health technologies. (2) Systematically to identify 'novel' statistical techniques applied to learning curve data in other fields, such a...

The effect of structured medication review followed by face-to-face feedback to prescribers on adverse drug events recognition and prevention in older inpatients – a multicenter interrupted time series study

Abstract Background The effectiveness of interventions to improve medication safety in older inpatients is unclear, given a paucity of properly designed intervention studies applying clinically relevant endpoints such as hospital-acquired p...

Trends in Proportion of Delirium Among Older Emergency Department Patients in South Korea, 2017–2022

Introduction: Delirium is a critical neuropsychiatric condition that surged among older adults during the coronavirus disease 2019 (COVID-19) pandemic, likely due to social isolation resulting from distancing measures. In this study we exam...

Data for: Terrain units, land use/cover, and gross primary productivity of the largest fluvial basin in the Brazilian Amazonia/Cerrado ecotone: The Araguaia River Basin

Integrity of most of tropical wetlands is threatened because they are often considered freely available resources of land and water. The Araguaia River Basin is one of the Brazilian basins most influenced by tropical seasonal floods, in add...

Information-Criterion-Based Lag Length Selection in Vector Autoregressive Approximations for I(2) Processes

When using vector autoregressive (VAR) models for approximating time series, a key step is the selection of the lag length. Often this is performed using information criteria, even if a theoretical justification is lacking in some cases. Fo...

Modeling financial interval time series.

In financial economics, a large number of models are developed based on the daily closing price. When using only the daily closing price to model the time series, we may discard valuable intra-daily information, such as maximum and minimum ...

Changes in the inflation expectations of consumers and professionals during the Russian invasion of Ukraine: The case of Ukraine and Poland

We use causal inference analysis with Bayesian structural time series modelling to identify the changes in the direction and amplitude of Ukrainian and Polish consumer and professional inflation expectations after the outbreak of war in Ukr...

Impact Of Mudharabah And Murabaha Financing On Real Sector Growth In Asean Developing Countries

This research aims to analyze whether mudharabah and murabaha financing have an impact on maximizing real sector growth in Indonesia, Malaysia and Brunei Darussalam. The method used in this research is quantitative with a descriptive-associ...

Investigating the influence of monetary policy on the balance sheet performance of commercial banks

Research aims: The study investigates the influence of monetary policy on the balance sheet performance of commercial banks in Malawi. Design/Methodology/Approach: The study employed an explanatory research design using time series data obt...

Gold Price Forecasting using Time Series Modeling on a Web Platform

Gold is one of the most favored investment instruments due to its stability and its ability to preserve value against inflation. However, its price movements are volatile and influenced by various global economic factors, currency exchange ...

On the Use of Transfer Entropy to Investigate the Time Horizon of Causal Influences between Signals

Understanding the details of the correlation between time series is an essential step on the route to assessing the causal relation between systems. Traditional statistical indicators, such as the Pearson correlation coefficient and the mut...

ZOTMPo–INAR(1) Process: Entropy and Modeling of Epidemiological Count Time Series Data

In this article, we propose a first-order integer-valued autoregressive (INAR(1)) model based on binomial thinning, in which the innovation sequence follows a zero–one–two-modified Poisson (ZOTMPo) distribution. The proposed model accommoda...

Forecast combining with neural networks

This paper investigates the use of Artificial Neural Networks (ANNs) to combine time series forecasts of stock market volatility from the USA, Canada, Japan and the UK. We demonstrate that combining with nonlinear ANNs generally produces fo...

Neural Network Models for Time Series Forecasts

Neural networks have been advocated as an alternative to traditional statistical forecasting methods. In the present experiment, time series forecasts produced by neural networks are compared with forecasts from six statistical time series ...

Neural networks in ocean engineering

The soft computing technique of neural network is being extensively used across all disciplines of ocean engineering, namely, offshore, coastal, and deep-ocean engineering including marine engineering. This paper takes a stock of the resear...