This repository contains a prototype implementation of the optimal sampling algorithms from: Feras A. Saad, Cameron E. Freer, Martin C. Rinard, and Vikash K. Mansinghka. Optimal Approximate Sampling ...

Probability distribution is an essential concept in statistics, helping us understand the likelihood of different outcomes in a random experiment. Whether you’re a student, researcher, or professional ...

This application provides an intuitive interface for calculating four fundamental discrete probability distributions commonly used in statistics and probability theory. Built with modern Java Swing ...

Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. Somer G. Anderson is CPA, doctor of accounting, and an accounting ...

The main property of a discrete joint probability distribution can be stated as the sum of all non-zero probabilities is 1. The next line shows this as a formula. The marginal distribution of X can be ...

Abstract: This paper addresses the problem of designing nonlinear discrete-time dynamical systems for prospective use in low-complexity random signal generators. Drawing upon ergodic systems theory, ...

In the board game "Chick-a-Pig," a cow that sits in the center of the board and creates an obstacle for players attempting to move across the board. On each turen, a player rolls a die to determine ...

Abstract: Utilizing deep learning techniques for spacecraft pose estimation enables using low-cost sensors like monocular cameras. However, the existing methods have drawbacks, such as complex models ...