Articles with "vector autoregression" as a keyword



Dynamic time warp versus vector autoregression models for network analyses of psychological processes

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Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-94782-9

Abstract: Psychopathological disorders are increasingly conceptualized as complex dynamic systems, which can be represented as networks of interconnected symptoms. These dynamic networks are often constructed using Multilevel Vector AutoRegression (mlVAR) models. However, psychological processes frequently violate… read more here.

Keywords: psychological processes; dynamic time; vector autoregression;

Google search interests and new cases of COVID-19 in Bangladesh: a vector autoregression analysis for disease surveillance

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Published in 2025 at "BMC Research Notes"

DOI: 10.1186/s13104-025-07381-2

Abstract: This study explores the application of Google Search Trends (GST) data as a tool for COVID-19 surveillance in Bangladesh. Using the Vector Autoregression (VAR) approach, it investigates how GST search can predict new COVID-19 cases.… read more here.

Keywords: disease surveillance; search; surveillance; vector autoregression ... See more keywords

Analyzing the Effects of Oil Price Volatility on Agricultural Pricing and Outsourcing Dynamics: A Vector Autoregression Approach

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Published in 2024 at "International Journal of Energy Economics and Policy"

DOI: 10.32479/ijeep.18056

Abstract: The investigation delved into the dynamic interplay between oil price fluctuations and their ramifications on the pricing of agricultural products, employing the Vector Autoregression methodology. The dataset spanned 3 months, commencing from January 2010 and… read more here.

Keywords: oil price; vector autoregression; oil;

A high throughput generative vector autoregression model for stochastic synapses

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Published in 2022 at "Frontiers in Neuroscience"

DOI: 10.3389/fnins.2022.941753

Abstract: By imitating the synaptic connectivity and plasticity of the brain, emerging electronic nanodevices offer new opportunities as the building blocks of neuromorphic systems. One challenge for large-scale simulations of computational architectures based on emerging devices… read more here.

Keywords: throughput generative; generative vector; vector autoregression; high throughput ... See more keywords

Using Vector Autoregression Modeling to Reveal Bidirectional Relationships in Gender/Sex-Related Interactions in Mother–Infant Dyads

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Published in 2020 at "Frontiers in Psychology"

DOI: 10.3389/fpsyg.2020.01507

Abstract: Vector autoregression (VAR) modeling allows probing bidirectional relationships in gender/sex development and may support hypothesis testing following multi-modal data collection. We show VAR in three lights: supporting a hypothesis, rejecting a hypothesis, and opening up… read more here.

Keywords: bidirectional relationships; mother infant; vector autoregression; relationships gender ... See more keywords

Evaluating Enteric Fermentation-Driven Environmental Kuznets Curve Dynamics: A Bayesian Vector Autoregression Comparative Study of the EU and Least Developed Countries

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Published in 2024 at "Agriculture"

DOI: 10.3390/agriculture14112036

Abstract: Global warming and climate change, primarily driven by human activities, with agriculture playing a significant role, have become central topics of scientific research. Livestock production, especially enteric fermentation, is a major source of greenhouse gas… read more here.

Keywords: least developed; vector; vector autoregression; enteric fermentation ... See more keywords

Grouped Network Vector Autoregression

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Published in 2020 at "Statistica Sinica"

DOI: 10.5705/ss.202017.0533

Abstract: In the study of time series analysis, it is of great interest to model a continuous response for all the individuals at equally spaced time points. With the rapid advance of social network sites, network… read more here.

Keywords: autoregression; network; vector autoregression; network vector ... See more keywords

Statistical Inference for High-Dimensional Vector Autoregression with Measurement Error

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Published in 2020 at "Statistica Sinica"

DOI: 10.5705/ss.202021.0151

Abstract: High-dimensional vector autoregression with measurement error is frequently encountered in a large variety of scientific and business applications. In this article, we study statistical inference of the transition matrix under this model. While there has… read more here.

Keywords: measurement error; autoregression measurement; inference; dimensional vector ... See more keywords