Protecting our environment is not a choice, but a responsibility we owe to future generations.
Numerous studies examined the factors affecting the environmental deterioration but this …

Countries in the Middle East and North Africa (MENA) have been facing serious
environmental issues due to over-exploitation of natural resources. This paper analyzes the …

Joint Species Distribution Modeling: Dimension Reduction Using Dirichlet Processes Page 1
Bayesian Analysis (2017) 12, Number 4, pp. 939–967 Joint Species Distribution Modeling …

Indirect quantification of chemical composition through spectral measurements requires the
establishment of multivariate calibration models. The reference analyses on the calibration …

We describe how many dimension reduction strategies are connected conceptually and
philosophically, paving the way for a unified approach to multivariate dimension reduction in …

This chapter attempts to resolve some of the issues that appear in the presence of
multicollinearity, such as the overfitting in regression analysis, the accuracy of the impact of …

Marginal screening is a widely applied technique to handily reduce the dimensionality of the
data when the number of potential features overwhelms the sample size. Because of the …

We demonstrate that, in a regression setting with a Hilbertian predictor, a response variable
is more likely to be more highly correlated with the leading principal components of the …

In this work we attempt is to locate and analyze via multivariate analysis techniques, highly
correlated covariates (factors) which are interrelated with the Gross Domestic Product and …

We give a probabilistic analysis of a phenomenon in statistics which, until recently, has not
received a convincing explanation. This phenomenon is that the leading principal …