Stochastic Processes via the Pathway Model

After collecting data from observations or experiments, the next step is to analyze the data to build an appropriate mathematical or stochastic model to describe the data so that further studies can be done with the help of the model. In this article, the input-output type mechanism is considered fi...

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Main Authors: Arak M. Mathai, Hans J. Haubold
Format: Article
Language:English
Published: MDPI AG 2015-04-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/17/5/2642
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spelling doaj-2ac62a508aca4e75a54aa89462cef9212020-11-24T23:54:05ZengMDPI AGEntropy1099-43002015-04-011752642265410.3390/e17052642e17052642Stochastic Processes via the Pathway ModelArak M. Mathai0Hans J. Haubold1Centre for Mathematical and Statistical Sciences, Peechi Campus, KFRI, Peechi-680653, Kerala, IndiaCentre for Mathematical and Statistical Sciences, Peechi Campus, KFRI, Peechi-680653, Kerala, IndiaAfter collecting data from observations or experiments, the next step is to analyze the data to build an appropriate mathematical or stochastic model to describe the data so that further studies can be done with the help of the model. In this article, the input-output type mechanism is considered first, where reaction, diffusion, reaction-diffusion, and production-destruction type physical situations can fit in. Then techniques are described to produce thicker or thinner tails (power law behavior) in stochastic models. Then the pathway idea is described where one can switch to different functional forms of the probability density function through a parameter called the pathway parameter. The paper is a continuation of related solar neutrino research published previously in this journal.http://www.mdpi.com/1099-4300/17/5/2642data analysismodel buildinginput-output type stochastic modelsthicker or thinner-tailed modelspathway ideapathway model, solar neutrinos
collection DOAJ
language English
format Article
sources DOAJ
author Arak M. Mathai
Hans J. Haubold
spellingShingle Arak M. Mathai
Hans J. Haubold
Stochastic Processes via the Pathway Model
Entropy
data analysis
model building
input-output type stochastic models
thicker or thinner-tailed models
pathway idea
pathway model, solar neutrinos
author_facet Arak M. Mathai
Hans J. Haubold
author_sort Arak M. Mathai
title Stochastic Processes via the Pathway Model
title_short Stochastic Processes via the Pathway Model
title_full Stochastic Processes via the Pathway Model
title_fullStr Stochastic Processes via the Pathway Model
title_full_unstemmed Stochastic Processes via the Pathway Model
title_sort stochastic processes via the pathway model
publisher MDPI AG
series Entropy
issn 1099-4300
publishDate 2015-04-01
description After collecting data from observations or experiments, the next step is to analyze the data to build an appropriate mathematical or stochastic model to describe the data so that further studies can be done with the help of the model. In this article, the input-output type mechanism is considered first, where reaction, diffusion, reaction-diffusion, and production-destruction type physical situations can fit in. Then techniques are described to produce thicker or thinner tails (power law behavior) in stochastic models. Then the pathway idea is described where one can switch to different functional forms of the probability density function through a parameter called the pathway parameter. The paper is a continuation of related solar neutrino research published previously in this journal.
topic data analysis
model building
input-output type stochastic models
thicker or thinner-tailed models
pathway idea
pathway model, solar neutrinos
url http://www.mdpi.com/1099-4300/17/5/2642
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