Stochastic and Statistical Analyses in Natural Sciences, Second Edition

Dear Colleagues,

In stochastic analysis, a stochastic process (and a time series as its special form) is a mathematical object defined as a family of random variables. Examples of such processes include the Brownian motion process used to study price changes, Poisson processes used to study the number of phone calls occurring in a certain period of time, and many others. Stochastic processes are widely used as mathematical models of systems and phenomena which randomly vary, with applications in many disciplines such as biology, chemistry, ecology, physics, computer theory, neuroscience, geosciences, medicine, etc. Important aspects of the stochastic analysis of stochastic processes include stochastic integration and stochastic differential equations. In the statistical analysis of stochastic processes, some of the most important considerations are related to parameter estimation, testing stochastic distributions, stationarity, etc. Geo-statistical methods in geoscience are important for multiple calculations and the analysis of natural phenomena.

This Special Issue aims to bring together contributions concerning the stochastic and statistical analyses of stochastic processes and time series, both in theoretical and applicative domains. To achieve this aim, studies exploring novel methodologies or applications in natural sciences are welcome, as are papers addressing other relevant topics.

This Special Issue welcomes submissions concerning research areas including, but not limited to, the following:

• Stochastic analysis;
• Conditional measures and expectations;
• Statistical analysis;
• Statistical regression analysis in natural sciences;
• Statistical testing and significance;
• Stochastic processes with applications in natural sciences;
• Stochastic differential equations with applications in natural sciences;
• Time-series analysis with applications in natural sciences;
• Statistical methods in natural sciences;
• Statistical methods in cross-sectional studies.

Dr. Dragana Valjarević
Dr. Aleksandar Dj Valjarević
Prof. Dr. Vladica Stojanović
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Axioms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• stochastic processes
• time-series analysis
• conditional expectation
• filtration
• statistical methods in the natural sciences
• parameter estimation techniques
• cross-sectional studies
• population and sample theory

• Stochastic and Statistical Analysis in Natural Sciences in Axioms (10 articles)