Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...
Abstract: Graph classification is a hot topic of machine learning for graph-structured data, and it is also a very potential and valuable research. However, the difficulty of graph classification is ...
Abstract: Accurate fault classification and location are critical to ensure the reliability and resilience of large-scale power distribution systems (PDSs). The existing data-driven works in this area ...
In this paper, we consider the function f p ( t )= 2p X 2 ( 2p t+p;p ) , where χ²(x; n) defined by X 2 ( x;p )= 2 −p/2 Γ( p/2 ) e −x/2 x p/2−1 , is the density function of a χ²-distribution with n ...
This methodological article aims to present the type I Pareto distribution in a clear and illustrative manner for better understanding among social researchers. It also provides R scripts for ...
The film is Sora's first fictional film, following his acclaimed documentary from last year, 'Opus,' which captured the final performance of his late father, music icon Ryuichi Sakamoto. By Patrick ...
What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...
The S&P 500 is commonly viewed as a benchmark for the entire U.S. stock market, and the index returned 10.1% annually over the last three decades. Historically, the S&P 500 has increased in nine out ...
All the scripts were developed on MATLAB 2023a (compatible with MATLAB 2022b or later). This file contains two main scripts: CoherentBasis.m FockBasis.m which define two types of classes. The first ...
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