DeepAI AI Chat

The Probabilistic Explanation of the Cohort Component Population Projection Method

09/24/2021

∙

by Mariia Nosova, et al.

∙

∙

The probabilistic explanation of the direct and reverse cohort component population projection methods is presented. The main characteristics determining the probability distribution of the values for the direct and reverse component methods are found.

page 1

page 2

page 3

page 4

∙ 02/13/2013

Probabilistic Disjunctive Logic Programming

In this paper we propose a framework for combining Disjunctive Logic Pro...

0 Liem Ngo, et al. ∙

∙ 02/11/2021

A Bayesian cohort component projection model to estimate adult populations at the subnational level in data-sparse settings

Accurate estimates of subnational populations are important for policy f...

0 Monica Alexander, et al. ∙

∙ 01/25/2023

On the Mathematics of Diffusion Models

This paper attempts to present the stochastic differential equations of ...

0 David McAllester, et al. ∙

∙ 10/03/2018

Reverse Greedy is Bad for k-Center

We demonstrate that the reverse greedy algorithm is a Θ(k) approximation...

0 D. Ellis Hershkowitz, et al. ∙

∙ 05/21/2020

A Mathematical Model of Population Growth as a Queuing System

In this article, a new mathematical model of human population growth as ...

0 Mariia Nosova, et al. ∙

∙ 03/28/2021

Entropy methods for the confidence assessment of probabilistic classification models

Many classification models produce a probability distribution as the out...

0 Gabriele N. Tornetta, et al. ∙