A team of international physicists has brought Bayes’ centuries-old probability rule into the quantum world. By applying the ...

Stein's method has emerged as a powerful and versatile tool in probability theory for deriving error bounds in distributional approximations. Originally developed to ...

The Swinburne study introduces an efficient validation technique for quantum computations, crucial for ensuring accuracy in ...

Nonparametric methods provide a flexible framework for estimating the probability density function of random variables without imposing a strict parametric model. By relying directly on observed data, ...

We propose a method for reconstructing a probability density function (pdf) from a sample of an n-dimensional probability distribution. The method works by iteratively applying some simple ...

Benjamin P. Horton was supported by the Singapore Ministry of Education Academic Research Fund: MOE2019-T3-1-004. Benjamin S. Grandey's research is supported by the National Research Foundation, ...