a multivariate statistical analysis was performed on morphological characters of sixty-one populations of avena eriantha dur. a. clauda dur., a. barbata pott ex link., a. wiestii steud., a. fatua l., a. sterilis ssp. ludoviciana l. and a. sativa l. factor analysis revealed that intraspecific morphological variations are due to quantitative characters. interspecific as well as intersectional rel...

In this paper, we apply the probabilistic model checker PRISM to the analysis of a biological system – the Platelet-Derived Growth Factor (PDGF) signaling pathway, demonstrating in detail how this pathway can be analyzed in PRISM. We show that quantitative verification can yield a better understanding of the PDGF signaling pathway.

We present a probabilistic model for tensor decomposition where one or more tensor modes may have sideinformation about the mode entities in form of their features and/or their adjacency network. We consider a Bayesian approach based on the Canonical PARAFAC (CP) decomposition and enrich this single-layer decomposition approach with a two-layer decomposition. The second layer fits a factor mode...

This paper investigates the systematic covariation among various dimensions pertaining to batting and bowling capabilities of T20 cricket using the advanced statistical technique of factor analysis. The real dataset of 85 batsmen and 85 bowlers has been considered from Indian Premier League (IPL) 2012 for analysis purpose. The findings of this study show that batting capability dominates over b...