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Table 1 Methods proposed, predictors, basis type and type of model

From: Bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture

Method

Predictor of the model

Basis type

Type of model

M1

X

None

Conventional regression

M2

W

B-splines

Functional regression (Eq. 8)

M3

W

Fourier

Functional regression (Eq. 8)

M4

X *

B-splines

Alternative 1 for Functional regression (Eq. 9)

M5

X *

Fourier

Alternative 1 for Functional regression (Eq. 9)

M6

X **

B-splines

Alternative 2 for Functional regression (Eq. 10)

M7

X **

Fourier

Alternative 2 for Functional regression (Eq. 10)

  1. Grain yield (Y) is the vector response of the variable (trait of interest)