Results 61 to 70 of about 1,047,164 (269)

The Relationship Between Interest Rates and Agricultural Commodity Price Dynamics

Agribusiness, EarlyView.
ABSTRACT The U.S. Federal Reserve has undertaken several interest rate interventions in the past decade. This study explores the relationship between U.S. corn and soybean prices and Federal Reserve monetary policy interventions, in the short and long run.
Zhining Sun, Ani L. Katchova
wiley   +1 more source

Life expectancy and human capital: New empirical evidence

Health Economics, Volume 32, Issue 2, Page 395-412, February 2023., 2023
Abstract This paper re‐examines a well‐established hypothesis postulating that life expectancy augments incentives for human capital accumulation, leading to global income differences. A major distinguishing feature of the current study is to estimate heterogeneous panel data models under a common factor framework, which explicitly accounts for ...
Trung V. Vu
wiley   +1 more source

Comparação bayesiana de modelos de previsão de diferenças esperadas nas progênies no melhoramento genético de gado Nelore Bayesian comparison of forecasting models to expected progenies difference in Nelore cattle genetic breeding

Pesquisa Agropecuária Brasileira, 2008
O objetivo deste trabalho foi realizar uma análise bayesiana de modelos auto-regressivos de ordem p, AR(p), para dados em painel referentes às diferenças esperadas nas progênies (DEP) de touros da raça Nelore publicados de 2000 a 2006.
Fabyano Fonseca e Silva, Thelma Sáfadi, Joel Augusto Muniz, Luiz Henrique de Aquino, Gerson Barreto Mourão   +4 more
doaj   +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, Yan Jin, José María Gil   +2 more
wiley   +1 more source

End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification [PDF]

arXiv, 2018
Autoregressive decoding is the only part of sequence-to-sequence models that prevents them from massive parallelization at inference time. Non-autoregressive models enable the decoder to generate all output symbols independently in parallel. We present a novel non-autoregressive architecture based on connectionist temporal classification and evaluate ...
arxiv  

ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation [PDF]

arXiv, 2020
We propose to train a non-autoregressive machine translation model to minimize the energy defined by a pretrained autoregressive model. In particular, we view our non-autoregressive translation system as an inference network (Tu and Gimpel, 2018) trained to minimize the autoregressive teacher energy. This contrasts with the popular approach of training
arxiv  

Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?

Agribusiness, EarlyView.
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley   +1 more source

Independent Vector Analysis for Feature Extraction in Motor Imagery Classification

Sensors
Independent vector analysis (IVA) can be viewed as an extension of independent component analysis (ICA) to multiple datasets. It exploits the statistical dependency between different datasets through mutual information.
Caroline Pires Alavez Moraes, Lucas Heck dos Santos, Denis Gustavo Fantinato, Aline Neves, Tülay Adali   +4 more
doaj   +1 more source

Utilizing Multiple Inputs Autoregressive Models for Bearing Remaining Useful Life Prediction [PDF]

arXiv, 2023
Accurate prediction of the Remaining Useful Life (RUL) of rolling bearings is crucial in industrial production, yet existing models often struggle with limited generalization capabilities due to their inability to fully process all vibration signal patterns.
arxiv  

An integrated scheduling and control scheme with two economic layers for demand side management of chemical processes

AIChE Journal, EarlyView.
Abstract Integrated dynamic scheduling (IDS) and economic nonlinear model predictive control (eNMPC) enable economic operation of chemical plants subject to volatile energy prices. Herein, we combine the two concepts into an integrated two‐layer scheme. Therein, IDS performs “long‐horizon” scheduling on a day‐ahead (DA) market and eNMPC “short‐horizon”
Jan C. Schulze, Chrysanthi Papadimitriou, Paul Kolmer, Alexander Mitsos   +3 more
wiley   +1 more source