(2013). Estimating the relationship between women’s education and fertility in Botswana by using an instrumental variable approach to semiparametric expectile regression. Journal of the Royal Statistical Society Series C: Applied Statistics, 62, 25–45. https://doi.org/10.1111/j.1467-9876.2012.0...
For clarity, we focus on the simple linear regression model y_t = x'_tβ + u_t, t = 1,2,…,T, where β and x_t are k * 1 vectors, u_t is autocorrelated and possibly conditionally heteroskedastic, and E(u_1|x_t) = 0. This last condition rules out lagged dependent ...
As you can see, rev_map holds an extra variable:accu, theaccumulator. When the case[]is reached, the program only has to return the accumulator and can somehow forget the call stack (but has to remember the return value inside of the accumulator). On the other hand, the map function a...
2. Local online kernel ridge regression 2.1. Motivation of the model To motivate the model in the current context, the example of forecasting travel times on a single road section (link) is used. Assume a stream of observations of a traffic variable such as flow, density or travel time [...
For clarity, we focus on the simple linear regression model y_t = x'_tβ + u_t, t = 1,2,…,T, where β and x_t are k * 1 vectors, u_t is autocorrelated and possibly conditionally heteroskedastic, and E(u_1|x_t) = 0. This last condition rules out lagged dependent ...
Wang W et al (2003) Determination of the spread parameter in the gaussian kernel for classification and regression. Neurocomputing 55(3–4):643–663 Article Google Scholar Hohmann M et al (2023) Quantifying ideological polarization on a network using generalized euclidean distance. Sci Adv 9(9...
In addition, in Table 3 can be observed the regression coefficients (β values) of each dependent variable and their statistical significance (p-values), together with the correlation coefficients (r2) of the mathematical fit. These coefficients are used to obtain theoretical equations that allow ...