Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

The trendline and weight on any given poll in this regression depend on two parameters that we also have to set: the bandwidth of the kernel and the degree of the polynomial.

Regression discontinuity design is implemented by fitting two polynomial regressions of the outcome on the running variable above and below the cut-off value, using only observations within the ...

Stochastic transmission line (TL) analysis is often challenging due to the difficulty of fully identifying the probability distributions of all randomly varying parameters, especially in the presence ...

Non-parametric regression is a type of statistical analysis that makes no assumptions about the functional form of the relationship between variables.

Keywords: sample efficiency, homogeneous polynomials, sparse tensor networks, alternating least square, empirical L2 approximation Citation: Götte M, Schneider R and Trunschke P (2021) A Block-Sparse ...