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: Moments of continuous random variables with a probability density function which can be represented as the impulse response of a linear time-invariant system are studied. Under some ...

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 ...

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 ...

The FactorGraph package provides the set of different functions to perform inference over the factor graph with continuous or discrete random variables using the belief propagation algorithm. A ...

National Laboratory of Solid State Microstructures and School of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, China Continuous-variable quantum ...