ARTÍCULO
TITULO

Estimating the Number of Factors to Include in a High-Dimensional Multivariate Bilinear Model

Park E. S. Henry R. C. Spiegelman C. H.    

Resumen

No disponible

 Artículos similares

       
 
Miro Petkovic, Igor Vujovic, Zvonimir Lu?ic and Jo?ko ?oda    
Automated surveillance systems based on machine learning and computer vision constantly evolve to improve shipping and assist port authorities. The data obtained can be used for port and port property surveillance, traffic density analysis, maritime safe... ver más

 
Andrei Konstantinov, Stanislav Kirpichenko and Lev Utkin    
A new method for estimating the conditional average treatment effect is proposed in this paper. It is called TNW-CATE (the Trainable Nadaraya?Watson regression for CATE) and based on the assumption that the number of controls is rather large and the numb... ver más
Revista: Algorithms

 
Nokukhanya Mthembu, Romano Lottering and Heyns Kotze    
Leaf area index (LAI) is an important parameter in plant ecophysiology; it can be used to quantify foliage directly and as a measure of the photosynthetic active area and, thus, the area subject to transpiration in vegetation. The aim of this paper was t... ver más
Revista: Applied Sciences

 
Daniela Szpaczynska, Marian Janusz Lopatka and Piotr Krogul    
The elastic-damping properties of the rubber track structure can have a significant impact on the running gear performance of lightweight mobile robots. Taking these properties into account is particularly important for modeling obstacle negotiation and ... ver más
Revista: Applied Sciences

 
Hossein Jamshidifarsani, Samir Garbaya and Ioana Andreea Stefan    
Technology-based in-home reading and spelling programs have the potential to compensate for the lack of sufficient instructions provided at schools. However, the recent COVID-19 pandemic showed the immaturity of the existing remote teaching solutions. Co... ver más
Revista: Computers