Probability Distribution Methods to Predict Stock Profits

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...
GitHub

Variable Selection Using Random Forests

R package, implementing a three steps variable selection procedure based on random forests. Initially developed to handle high dimensional data (for which number of variables largely exceeds number of ...
Investopedia

Understanding Fixed vs. Variable Overhead Costs in Business

Steven Nickolas is a writer and has 10+ years of experience working as a consultant to retail and institutional investors. Somer G. Anderson is CPA, doctor of accounting, and an accounting and finance ...
IEEE

Downscaling Land Surface Temperatures Using a Random Forest Regression Model With Multitype Predictor Variables

Abstract: In this paper, a random forest regression model with multitype predictor variables (MTVRF) was utilized with four kinds of input variables, including surface reflectance, spectral indices, ...
IEEE

Random Telegraph Noises in CMOS Image Sensors Caused by Variable Gate-Induced Sense Node Leakage Due to X-Ray Irradiation

Abstract: The effects of X-ray irradiation on the random noises, especially the random telegraph noises (RTN), of a 45-nm on 65-nm stacked CMOS image sensor with 8.3M 1.1 μm pixels are investigated.
GitHub

Random123: a Library of Counter-Based Random Number Generators

The Random123 library is a collection of counter-based random number generators ( "CBRNGs") for CPUs (C and C++) and GPUs (CUDA and OpenCL), as described in Parallel Random Numbers: As Easy as 1, 2, 3 ...