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

A little while back, we took a look at a large cargo bike from Urban Arrow that had some interesting features: a drive train that sported continuous variable gearing and a belt drive. But it was ...

I did not find an example using DoWhy to do inference and variable manipulation on a hybrid network, which has both categorical and continuous variables. I tried the ...

We demonstrate a continuous-variable quantum compiler with 3.6-fold faster convergence and 5.4-fold enhanced precision for optical phase unitary learning, highlighting the advantages of squeezing in ...

1 Department of Plant Pathology, The Ohio State University, Wooster, OH, United States 2 Center for Integrated Fungal Research, Department of Entomology and Plant Pathology, North Carolina State ...

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 ...

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 ...

Epidemiological studies often have missing data, which are commonly handled by multiple imputation (MI). In MI, in addition to those required for the substantive ...

Roll a die and ask students to identify the random variable. Since a die can only take on values of 1, 2, 3, 4, 5, or 6, this is a discrete random variable. Repeat ...