Jove
Visualize
Contact Us

Related Concept Videos

Poisson Probability Distribution01:09

Poisson Probability Distribution

8.3K
A Poisson probability distribution is a discrete probability distribution. It gives the probability of a number of events occurring in a fixed interval of time or space if these events happen at a known average rate and independently of the time since the last event. For example, a book editor might be interested in the number of words spelled incorrectly in a particular book. It might be that, on average, there are five words spelled incorrectly in 100 pages. The interval is 100 pages.
The...
8.3K
Poisson's And Laplace's Equation01:25

Poisson's And Laplace's Equation

3.1K
The electric potential of the system can be calculated by relating it to the electric charge densities that give rise to the electric potential. The differential form of Gauss's law expresses the electric field's divergence in terms of the electric charge density.
3.1K
Probability Distributions01:32

Probability Distributions

7.3K
 The probability of a random variable x  is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
7.3K
Binomial Probability Distribution01:15

Binomial Probability Distribution

11.2K
A binomial distribution is a probability distribution for a procedure with a fixed number of trials, where each trial can have only two outcomes.
The outcomes of a binomial experiment fit a binomial probability distribution. A statistical experiment can be classified as a binomial experiment if the following conditions are met:
There are a fixed number of trials. Think of trials as repetitions of an experiment. The letter n denotes the number of trials.
There are only two possible outcomes,...
11.2K
Poisson's Ratio01:23

Poisson's Ratio

499
Poisson's ratio is a material property that indicates their stress response. It explains the connection between the elongation or compression a material undergoes in the direction of an applied force and the contraction or expansion it experiences perpendicular to that force. When a slender bar is loaded axially, it stretches in the direction of the force and contracts laterally. Poisson's ratio is the negative ratio of this lateral contraction to the axial elongation. The negative sign...
499
Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

488
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
488

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Crofton Risk and Relative Transactional Entropy.

Entropy (Basel, Switzerland)·2026
Same author

A Non-Stochastic Special Model of Risk Based on Radon Transform.

Entropy (Basel, Switzerland)·2024
Same author

Transactional Interpretation for the Principle of Minimum Fisher Information.

Entropy (Basel, Switzerland)·2021
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jul 24, 2025

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Published on: September 26, 2016

7.9K

Transactional Interpretation and the Generalized Poisson Distribution.

Marcin Makowski1, Edward Wiktor Piotrowski1

  • 1Faculty of Physics, Department of Mathematical Methods in Physics, University of Białystok, Ul. Ciołkowskiego 1L, 15-245 Białystok, Poland.

Entropy (Basel, Switzerland)
|July 8, 2023
PubMed
Summary
This summary is machine-generated.

This study explores a quantum-like market approach using squeezed coherent states to define risk. It introduces a generalized Poisson distribution and a "risk of risk" concept for better strategy characterization.

Keywords:
Fisher informationFourier transformSchrödinger-like equationmarketquantum computerrisksqueezed coherent statessupply and demand

More Related Videos

Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS
04:40

Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS

Published on: July 30, 2020

3.0K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.7K

Related Experiment Videos

Last Updated: Jul 24, 2025

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Published on: September 26, 2016

7.9K
Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS
04:40

Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS

Published on: July 30, 2020

3.0K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.7K

Area of Science:

  • Quantitative Finance
  • Quantum Mechanics
  • Information Theory

Background:

  • Traditional market models often fail to capture complex risk dynamics.
  • Quantum principles offer novel frameworks for financial analysis.
  • Fisher information quantifies statistical distinguishability and is key to uncertainty.

Purpose of the Study:

  • To investigate a quantum-like market description using the principle of minimum Fisher information.
  • To assess the viability of squeezed coherent states as financial strategies.
  • To develop a quantum-based framework for market risk analysis.

Main Methods:

  • Representing squeezed coherent states using eigenvectors of market risk.
  • Deriving probability formulas for state representation.
  • Defining a generalized Poisson distribution for quantum risk.
  • Calculating total risk and introducing a "risk of risk" metric.

Main Results:

  • A generalized Poisson distribution is established, linking squeezed coherent states to quantum risk.
  • Formulas for total risk and the "risk of risk" (second central moment) are derived.
  • The "risk of risk" provides a numerical characterization of strategy risk.

Conclusions:

  • Quantum-like approaches, specifically using squeezed coherent states, offer a novel perspective on market risk.
  • The generalized Poisson distribution and "risk of risk" concept provide valuable tools for financial strategy analysis.
  • This framework has potential interpretations related to uncertainty relations in quantum mechanics.