Interbasin water transfer is a globally employed and significant strategy to address water
scarcity, conflicts, and achieve specific Sustainable Development Goals (SDGs). The issue …

To identify important variables at block level in high dimensional mixed frequency data
analysis, we introduce a specific type of group penalized function into the U-MIDAS …

Variable selection in ultra-high dimensional data sets is an increasingly prevalent issue with
the readily available data arising from, for example, genome-wide associations studies or …

Aim of this paper is to apply Dimensionality Reduction techniques on a large clinical data of
Type II diabetes patients in identifying the causes and symptoms that they tend to develop …

In this paper, we conduct a thorough investigation of the predictive ability of forward and
backward stepwise regressions and hidden Markov models for the futures returns of several …

Results. The authors have proposed the improved approach for modeling iron ore raw
material enrichment as spatio temporal struc tures with distributed parameters, taking into …

In this paper, a dimension reduction method is proposed by using the first derivative of the
conditional density function of response given predictors. To estimate the central subspace …

Актуальность исследования обоснована важностью задачи повышения качества
нелинейных моделей технологических процессов обогащения железорудного сырья …

The main objective of this paper is to reduce data dimensionality in high-dimensional feature
datasets. It uses an effective distance based Non-integer Matrix Factorization (NMF) method …

In this paper, a dimensionality reduction is achieved in large datasets using the proposed
distance based Non-integer Matrix Factorization (NMF) technique, which is intended to solve …