Stochastic and Statistical Analysis in Natural Sciences

Dear Colleagues, 

In stochastic analysis, a stochastic processes (and time series as their 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 the stochastic distributions and 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 analysis of stochastic processes and time series, both of theoretical and applicative domains. Toward that aim, novel methodologies or applications in natural sciences are welcome, but papers addressing other relevant topics are also invited. 

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 application in natural sciences;
• Time-series analysis with application in natural sciences;
• Statistical methods in the natural sciences;
• Statistical methods in cross-sectional studies.

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

Manuscript Submission Information

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