This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Fitting a distribution can be worth in case that we want to compare different populations, e.g. in clinic tests, and decide whether there is a statistical signficance between the different survival ...

The common non-parametric recalibration methods use the predicted cumulative (CDF) distribution functions to learn a mapping from the uncalibrated quantiles to the observed quantile coverage. Using a ...

German software company PVRadar Labs has released a Python programming package for solar asset owners and engineers that want to build site-specific models.

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

This paper considers the problem of estimating the cumulative distribution function and probability density function of a random variable using data quantized by uniform and non-uniform quantizers. A ...

A polynomial expansion to probability density function (pdf) approximation about Gaussian mixture densities is proposed in this paper. Using known polynomial series expansions we apply the Parzen ...

The normal distribution is also called the "Gaussian distribution" or "bell curve". A normal distribution has two parameters, the mean μ μ, and the variance σ2 σ 2. The mean can be any real number and ...