Results 81 to 90 of about 451,504 (196)

A Comparative Study of Neural Network Models for China’s Soybean Futures Price Forecasting

Agriculture
Accurate prediction of soybean futures prices is crucial for agricultural risk management and market decision-making. This study systematically evaluated nine state-of-the-art deep learning models—iTransformer, TFT, TCN, TimesNet, PatchTST, TiDE, TSMixer,
Xin Dai, Li Chen, Ying Hou, Xiaohan Ning, Wenqiang Zhao, Yunpeng Cui, Juan Liu, Mo Wang   +7 more
doaj   +1 more source

Multivariate Generalized Linear Mixed Models for Count Data

Austrian Journal of Statistics
Univariate regression models have rich literature for counting data. However, this is not the case for multivariate count data. Therefore, we present the Multivariate Generalized Linear Mixed Models framework that deals with a multivariate set of ...
Guilherme Parreira da Silva, Henrique Aparecido Laureano, Ricardo Rasmussen Petterle, Paulo Justiniano Ribeiro Júnior, Wagner Hugo Bonat   +4 more
doaj   +1 more source

Investing at home and abroad: different costs, different people? [PDF]

, 2009
We investigate US households’ direct investment in stocks, bonds and liquid accounts and their foreign counterparts, in order to identify the different participation hurdles affecting asset investment domestically and overseas. To this end, we estimate a
Christelis, Dimitris, Georgarakos, Dimitris   +1 more
core  

Observing double Higgs production at the LHC via neutrino feature engineering in $$hh\rightarrow b{\bar{b}}\ell \ell \nu \nu $$ h h → b b ¯ ℓ ℓ ν ν

European Physical Journal C: Particles and Fields
Double Higgs production is challenging even at the High Luminosity LHC. The Standard Model (SM) $$hh\rightarrow b{\bar{b}}WW(ZZ)\rightarrow b{\bar{b}}\ell \ell \nu \nu $$ h h → b b ¯ W W ( Z Z ) → b b ¯ ℓ ℓ ν ν has a moderate cross section compared to ...
Alexandre Alves, Eduardo da Silva Almeida, Diego S. V. Gonçalves   +2 more
doaj   +1 more source

Enhanced Forecasting of Groundwater Level Incorporating an Exogenous Variable: Evaluating Conventional Multivariate Time Series and Artificial Neural Network Models

Geographies
Continuous and uncontrolled extraction of groundwater often creates tremendous pressure on groundwater levels (GWLs). As a part of sustainable planning and effective management of water resources, it is crucial to assess the existing and forecasted GWL ...
Md Abrarul Hoque, Asib Ahmmed Apon, Md Arafat Hassan, Sajal Kumar Adhikary, Md Ariful Islam   +4 more
doaj   +1 more source

Estimation o fat mass in Southern Brazilian female adolescents: development and validation of mathematical models

Revista Brasileira de Cineantropometria e Desempenho Humano
This study aimed to develop and validate the first mathematical models, based on anthropometric properties, to estimate fat mass (FM) in a heterogeneous sample of female adolescents.
Joaquim Huaina Cintra-Andrade, Wagner Luis Ripka, Leandra Ulbricht, Neiva Leite   +3 more
doaj   +1 more source

Hybrid Deep Learning for Predictive Maintenance: LSTM, GRU, CNN, and Dense Models Applied to Transformer Failure Forecasting

Energies
Data is an important resource for gaining knowledge about the behavior and condition monitoring of machines, enabling the estimation of parameters and the prediction of failures. However, in industrial environments, sensor interruptions often create gaps
Balduíno César Mateus, Mateus Mendes, José Torres Farinha, Alexandre Martins   +3 more
doaj   +1 more source

A Multivariate Regression with Time Series Error in Forecasting Jakarta Composite Index and Stock Prices of Banking Industry in Indonesia by Considering COVID-19 Effect

International Journal of Technology
The stability of the financial system in Indonesia and the world has been severely disrupted by COVID-19. With the unstable financial system conditions, there were drastic fluctuations in the composite stock price index and other stocks.
Siti Maghfirotul Ulyah, Rika Susanti, Christopher Andreas, Ilma Amira Rahmayanti, Marisa Rifada, Norma Latif Fitriyani, Elly Ana   +6 more
doaj   +1 more source

Factor Analysis and Modelling for Rapid Quality Assessment of Croatian Wheat Cultivars with Different Gluten Characteristics

Food Technology and Biotechnology, 2008
Factor analysis and multivariate chemometric modelling for rapid assessment of baking quality of wheat cultivars from Slavonia region, Croatia, have been applied.
Želimir Kurtanjek, Daniela Horvat, Damir Magdić, Georg Drezner   +3 more
doaj  

Robust Continuum Regression Study of LASSO Selection and WLAD LASSO on High-Dimensional Data Containing Outliers

JTAM (Jurnal Teori dan Aplikasi Matematika)
In research, we often encounter problems of multicollinearity and outliers, which can cause coefficients to become unstable and reduce model performance.
Nurmai Syaroh Daulay, Erfiani Erfiani, Agus M Soleh   +2 more
doaj   +1 more source