Upper functions for positive random functionals. II. Application to the empirical processes theory, part 1. Math. Methods Statist. 22 (2), 83-99.Lepski, O. (2013c) Upper Functions for Positive Random Functionals. II. Application to the Empirical Processes Theory, Part 2. Math. Methods of ...
0 N Approx 1.0D-6 (N=20) 2.0**-N L121: Whether to read in initial velocities: 0 1 2 3 Default (same as 1) Generate random initial velocity Read in initial cartesian velocity (Bohr/sec) Read in initial MW cartesian velocity (sqrt(amu)*Bohr/sec) IOp(1/10) L103, L105, L109,...
Sensitivity, Specificity, and False Positive Fraction (FPF)a Corresponding to Choices of a Decision (Threshold) Point in the Context of Example 2 and used to Generate the ROC Curve in Figure 1-7 Decision PointSensitivitySpecificityFPF 283.6 0.0000 1.0000 0.0000 132.9 0.7610 0.9938 0.0062 125.6 ...
Set the random number seed to ensure repeatability. Get rng(100,"twister"); Create Occupancy Map and Find State Variables Load a binary map representing the input state space environment into MATLAB® workspace. Get load("mapData.mat") Create an occupancy map from the input. Get map ...
0 Default (same as 1). 1 Generate random initial velocity. 2 Read in initial Cartesian velocity (Bohr/sec). 3 Read in initial MW Cartesian velocity (sqrt(amu)*Bohr/sec).IOp(1/10)L103, L105, L109, L112, L113, L114: Input of initial Hessian. All values must be in atomic units...
Number of retries to generate a random number by using non-deterministic random number generator exceeds threshold. VSL_RNG_ERROR_ARS5_NOT_SUPPORTED ARS-5 random number generator is not supported on the CPU running the application. Parent topic:Continuous Distributions...
Let L be a square lattice and x = {xi,j, (i, j)∈ L) be a random field used to model a class of images. Suppose L represents the finest resolution and denote x by x0. Suppose that for some positive integer M, x0 has a wavelet expansion (53)x0~{w−1,w−2,…,w−M...
I have a covariance matrixQ, which is complex positive semidefinite and its dimension is . Now i want to generateLcolumn vectors (with the same distribution),where . Then store it in , which is a matrix. How to fastly obtain thisH?
plot_metric_density(baseline = gaussian_baseline$random_evaluations, metric = "RMSE") In this instance, the All_rows row might have been enough, as the subsets mainly add higher RMSE scores. Generate model formulas Instead of manually typing all possible model formulas for a set of fixed effec...
The Gaussian random field method considers a stochastic random field in the three-dimensional space, which is constrained to have a number of statistical properties corresponding to the physical material. From: Studies in Surface Science and Catalysis, 2002 ...