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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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 |
work_keys_str_mv |
AT arakmmathai stochasticprocessesviathepathwaymodel AT hansjhaubold stochasticprocessesviathepathwaymodel |
_version_ |
1725467389512908800 |