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

Abstract: Moments of continuous random variables admitting a probability density function are studied. We show that, under certain assumptions, the moments of a random variable can be characterized in ...

Abstract: Continuous-variable quantum key distribution (CV-QKD) over air quantum channel enables to provide unconditional information security, which is the one of most promising techniques for ...

Bulk density (ρ b) is commonly not reported in soil survey reports due to laborious work and high costs involved in the sampling and laboratory analysis of this property. However, despite data ...

Forecasting for any small business involves guesswork. You know your business and its past performance, but you may not be comfortable predicting the future. Using Excel is a great way to perform what ...

While this library is for now standalone, the goal is to get both the mathematical function as well as the distributions into torch core package. See also pytorch/pytorch#108948. The torchlambertw ...

Quantum annealing (QA) can be competitive to classical algorithms in optimizing continuous-variable functions when running on appropriate hardware, show researchers from Tokyo Tech. By comparing the ...

Cumulative probability is an essential concept in the world of statistics and probability theory. It refers to the likelihood that a random variable will take a value equal to or less than a specific ...