Trait probability density (TPD) functions (which explicitly account for ITV) reflect the probabilistic nature of niches. By doing so, the TPD approach reconciles existing methods for estimating FD ...

A probability density function (PDF) describes the likelihood of different outcomes for a continuous random variable.

The LN (Lognormal), GUM (Gumbel) and GEV (Generalized Extreme Value) probability distributions were considered to model the monthly dengue speared in the state of Alagoas. The probability density ...

AWS Lambda Python example Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS Management Console’s built-in code editor first loads with a pre-existing, ...

Hello, I am trying to generate Probability Density Functions (PDF) for local seismic stations. I am a little confused about that. I have read that Obspy can generate Probabilistic Power Spectral De ...

An analytical derivation of the EMG signal’s amplitude probability density function (EMG PDF) is presented and used to study how an EMG signal builds-up, or fills, as the degree of muscle contraction ...

Probability Distribution Functions is a Python package to help in different kind of probability distributions for a Data Scientist. Probability distributions are a must know for a Data Scientist.

Abstract: A longstanding problem in statistics pertains to the estimation of probability density functions of continuous random variables from a finite set of their samples. In this paper, we propose ...