Wave function representation of probability distributions

12/21/2017
by   Madeleine B. Thompson, et al.
0

Orthogonal decomposition of the square root of a probability density function in the Hermite basis is a useful low-dimensional parameterization of continuous probability distributions over the reals. This representation is formally similar to the representation of quantum mechanical states as wave functions, whose squared modulus is a probability density.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/31/2018

Improved Chebyshev inequality: new probability bounds with known supremum of PDF

In this paper, we derive new probability bounds for Chebyshev's inequali...
research
12/28/2022

Bayesian statistical learning using density operators

This short study reformulates the statistical Bayesian learning problem ...
research
06/28/2017

Approximation of probability density functions on the Euclidean group parametrized by dual quaternions

Perception is fundamental to many robot application areas especially in ...
research
08/24/2021

Infinite Choice and Probability Distributions. An Open Problem: The Real Hotel

We sketch a process algebra with data and probability distributions. Thi...
research
08/16/2016

Uniform Transformation of Non-Separable Probability Distributions

A theoretical framework is developed to describe the transformation that...
research
11/11/2020

A Quantum-Inspired Probabilistic Model for the Inverse Design of Meta-Structures

In quantum mechanics, a norm squared wave function can be interpreted as...
research
11/11/2020

Probability-Density-Based Deep Learning Paradigm for the Fuzzy Design of Functional Metastructures

In quantum mechanics, a norm squared wave function can be interpreted as...

Please sign up or login with your details

Forgot password? Click here to reset