As the Poisson distribution is a discrete function, the variable can only take specific values in a (potentially infinite) list. Put differently, the variable cannot take all values in any ...

Our ad-hoc adaptive estimation procedure for the probability distribution of a continuous random variable is based upon the Shannon-Jaynes maximum entropy concept and uses regression techniques or the ...

They survey the rules for addition and multiplication of probabilities, the concept of conditional probability, the formula for total probability, Bayes's formula, Bernoulli’s scheme and theorem, the ...

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 ...

Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.

As a result, and except under very rare conditions, which I specify, virtually nobody can consistently “time the market.” unless you’re a perfectly prescient trader, which nobody ever has been, is or ...

Atuilik, D. (2025) Managing Government Interventions to Reduce Income Inequality and Poverty in Ghana. Theoretical Economics ...

This important study introduces a Bayesian method to determine bacterial counts that accounts for the experimental noise inherent to dilution and plating methods, and distinguishes it from biological ...

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 ...

The distribution function of a sum of lognormal random variables (RVs) appears in several communication problems. Approximations are usually used for such distribution as no closed form nor bounds ...