Multi-Scale Transformer Pyramid Networks for Multivariate Time Series Forecasting
IEEE AccessMultivariate Time Series (MTS) forecasting entails the intricate process of modeling temporal dependencies within historical data records. Transformers have demonstrated remarkable performance in MTS forecasting due to their capability to capture long ...
Yifan Zhang +3 more
doaj +1 more source
Extracting a Robust U.S. Business Cycle Using a Time-Varying Multivariate Model-Based Bandpass Filter [PDF]
In this paper we investigate whether the dynamic properties of the U.S. business cycle have changed in the last fifty years. For this purpose we develop a flexible business cycle indicator that is constructed from a moderate set of macroeconomic time ...
Drew Creal, Siem Jan Koopman, Eric Zivot
core
From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries
Advanced Energy Materials, EarlyView.This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku +5 more
wiley +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
Advanced Energy Materials, EarlyView.In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Multivariate Segment Expandable Encoder-Decoder Model for Time Series Forecasting
IEEE AccessAccurate time series forecasting is critical in a variety of fields, including transportation, weather prediction, energy management, infrastructure monitoring, and finance.
Yanhong Li, David C. Anastasiu
doaj +1 more source
Multivariate signed rank tests in vector autoregressive order identication [PDF]
, 2004 info:eu-repo/semantics ...
Paindaveine, Davy
core
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Amid rising food and fertilizer prices, understanding farmers' policy preferences is critical for effective crisis response. We use best‐worst scaling experiment to assess Kenyan mobile‐owning crop farmers' preferences for government support under high and normal price scenarios.
Mywish K. Maredia +4 more
wiley +1 more source
Using Subspace Methods for Estimating ARMA Models for Multivariate Time Series with Conditionally Heteroskedastic Innovations [PDF]
This paper deals with the estimation of linear dynamic models of the ARMA type for the conditional mean for time series with conditionally heteroskedastic innovation process widely used in modelling financial time series.
Dietmar Bauer
core
Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao +3 more
wiley +1 more source
Price Transmission During Promotions: A Case Study of Spanish Milk Brands
Agribusiness, EarlyView.ABSTRACT Price promotion is the marketing tool typically used by retail brands to boost sales and gain market share. In this paper, we intend to investigate the price transmission mechanism among competitive brands in Spain when price reductions that are associated with price promotions take place.
Yasmine Bedoui +2 more
wiley +1 more source