Manuscript Topics

This special issue welcomes pioneering research articles that demonstrate the application of applied probability and statistics to interdisciplinary research. We are particularly interested in submissions that bridge the gap between theoretical developments in applied probability and statistics and their practical implementation across diverse fields such as biology, medicine, engineering, environmental science, finance, public health, and social sciences. Collaborative works involving both mathematicians/statisticians and domain experts are highly encouraged to highlight the interdisciplinary nature of the research.

The scope of the special issue includes, but is not limited to, the following areas:
Innovative Theoretical Models: Development and analysis of stochastic models and statistical methodologies for interdisciplinary domains.
Computational Statistics: Computational methods and algorithms to tackle complex data analysis problems across various disciplines.
Machine Learning and Data Mining: Integration of statistical principles into the development and evaluation of machine learning models, emphasizing interdisciplinary applications.
Biostatistics and Bioinformatics: Innovative applications of probability and statistics in epidemiology, genetics, genomics, and other areas of biological research.
Spatial Statistics in Public Health: Utilization of geostatistical models or spatial stochastic processes to map and analyze the spatial distribution of health-related events and risk factors.
Risk Assessment in Actuarial Science and Finance: Quantitative risk analysis employing probabilistic and statistical techniques, with applications in economics, finance, and insurance.
Environmental Statistics: Statistical methods for environmental assessment, monitoring, and policymaking.
Climate Research: Mathematical models and statistical techniques for analyzing extreme weather events and catastrophic climate impacts.
Social Statistics: Statistical techniques to comprehend, measure, and forecast social phenomena.

Instruction for Authors
http://www.aimspress.com/math/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/