This paper introduces a new linear regression method for interval valued-data. The method is based on the symmetrical linear regression methodology such that the prediction of the lower and upper bounds of the
2. Robust log-contrast regression for compositional data High-throughput next-generation sequencing techniques typically provide read count data of the form D=[d1,…,dn]T∈Rn×p, comprising n observations of a p-dimensional vector of read counts. The counts correspond, for instance, to the est...
On the basis of fuzzy regression, computational models in intelligence such as neural networks have the capability to be applied to nonlinear interval regression analysis for dealing with uncertain and imprecise data. When training data are not contaminated by outliers, computational models perform well...
can be used for the aggregation of multiple raw signal intensities to one expression value for Affymetrix and Illumina data. With regard to the Affymetrix data, we have implemented an algorithm which is a variant
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Using random regression (RR) and the Legendre polynomial method, the lactation curves showed vital differences. MO × HO 2-breed crossbreds produced similar fluid milk as Holsteins but had better persistency in milk, fat, and protein. The VR × HO 2-breed crossbreds had lower fluid milk produc...
QR decomposition based low rank approximation for Gaussian process regression. Appl. Intell. 53(23), 28924–28936 (2023). 21. Zhang, L., Liu, Z., Pu, J. & Song, B. Adaptive graph regularized nonnegative matrix factorization for data representation. Appl. Intell. 50, 438–447 (2020)....
This forms a challenge for our AMP, as we will not be able to control the prestimulus level in real-world settings. To accommodate this, we model the effect of the LIV as a linear regression line in our AMP. This linear model describes the relationship between the initial value before ...
Further, a regression study was performed to look at how many cars there are and how many traffic accidents there are, and the results showed a positive correlation, with more cars leading to more accidents and more people getting hurt. Mahmoodirad and Niroomand (2023) investigated the fixed...
In particular, the bootstrap method shows improved performance over linear regression-based approaches to inference often applied in similar settings. This article is organized as follows. Section 2 presents the basic statistical framework and reviews the GroupMatch framework, inference approaches for ...