IEEE

A Lightweight Deep Neural Network Using a Mixer-Type Nonlinear Vector Autoregression

Abstract: The design of a lightweight deep learning model would be an ideal solution for overcoming resource limitations when implementing artificial intelligence in edge sites. In this study, we ...
IEEE

Sparse Non-Linear Vector Autoregressive Networks for Multivariate Time Series Anomaly Detection

Abstract: Anomaly detection in multivariate time series (MTS) is crucial in domains such as industrial monitoring, cybersecurity, healthcare, and autonomous driving. Deep learning approaches have ...
Forbes

Beyond Autoregression: A New Model For Text Generation

Every time a language model like GPT-4, Claude or Mistral generates a sentence, it does something deceptively simple: It picks one word at a time. This word-by-word approach is what gives ...
International Monetary Fund

Sign Restrictions with a New-Keynesian Macro Model: Results From a “Quasi-Agnostic” Identification Procedure

This paper proposes a “quasi-agnostic” sign restriction procedure to identify structural shocks in frequentist structural vector autoregression (SVAR) models. It argues that low acceptance rates, ...
Hosted on MSN

Create Custom Google Map in Seconds: Vector Map Tutorial in High Quality

Design your own custom Google Maps in seconds! This high-quality vector map tutorial shows you how to create clean, editable maps for architecture, urban planning, and presentations. #CustomGoogleMap ...
Journal of Medical Internet Research

Population-Wide Depression Incidence Forecasting Comparing Autoregressive Integrated Moving Average and Vector Autoregressive Integrated Moving Average to Temporal Fusion ...

Objective: This study aimed to develop depression incidence forecasting models and compare the performance of autoregressive integrated moving average (ARIMA) and vector-ARIMA (VARIMA) and temporal ...
Scientific Research Publishing

Hou, P.S., Fadzil, L.M., Manickam, S. and Al-Shareeda, M.A. (2023) Vector Autoregression Model-Based Forecasting of Reference Evapotranspiration in Malaysia. Sustainability, 15 ...

ABSTRACT: To improve the efficiency of air quality analysis and the accuracy of predictions, this paper proposes a composite method based on Vector Autoregressive (VAR) and Random Forest (RF) models.