We apply the fused Kolmogorov filter to deal with variable screening problems emerging from a wide range of applications, such as multiclass classification, nonparametric regression and Poisson regression, among others. It is shown that the fused Kolmogorov filter enjoys the sure screening property ...
Model family distribution and link function For both bird and bat counts, we used a negative binomial distribution with a log link, rather than a Poisson distribution, because data were over-dispersed. We plotted variance-mean relationships and residuals of multiple models to select the appropriate...
1. Construct a linear Gaussian state model for the wind stimulus, k kk 1 1 v Av ε = + , with 2 1 ~ (0, ) εσ k N , using the data in trainingStim. Begin by plotting the stimulus value at each time against its value at the previous time step. Recall that the linear regre...
1. Construct a linear Gaussian state model for the wind stimulus, k kk 1 1 v Av ε = + , with 2 1 ~ (0, ) εσ k N , using the data in trainingStim. Begin by plotting the stimulus value at each time against its value at the previous time step. Recall that the linear regre...
Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of...
The online RSS data are fed into a pre-trained regression model, allowing the algorithm to predict the current location. Each prediction result is then used as the initial point for the next time step, ensuring continuity and stability in predictions. Moreover, to maintain the real-time ...
GWR model calibration via iteratively weighted least squares for Gaussian, Poisson, and binomial probability models. GWR bandwidth selection via golden section search or equal interval search GWR-specific model diagnostics, including a multiple hypothesis test correction and local collinearity Monte Carlo ...
The online RSS data are fed into a pre-trained regression model, allowing the algorithm to predict the current location. Each prediction result is then used as the initial point for the next time step, ensuring continuity and stability in predictions. Moreover, to maintain the real-time ...
The regression coefficients for each of the five data assimilation steps and each of the evaluated separation distances were larger than 0.80, and the slope coefficients varied between 4 and 5 depending on the separation distance and the time since the beginning of the intrusion. Figure 5. ERT ...
Compared to the existing particle filter based estimation methods [5,20], the main difficulties in the multi-modal radioactive scenario are illustrated as below: (i) As the GM-type detector could just provide a noisy total dose rate in one location, Poisson based observation model could not ...