Statistical Applications to Insurance and Risk
A special issue of Risks (ISSN 2227-9091).
Deadline for manuscript submissions: closed (31 August 2024) | Viewed by 2864
Special Issue Editor
Interests: statistics; risk theory; information theory; operations research; risk measures; entropy measures; actuarial science; financial mathematics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Welcome to the Special Issue on "Statistical Applications to Insurance and Risk". This Special Issue aims to explore innovative statistical methodologies and their applications in the insurance and risk management domain. Insurance and risk assessment are integral components of modern financial and business strategies. They play a crucial role in safeguarding against unforeseen events and uncertainties.
This Special Issue seeks to provide a platform for researchers, practitioners, and experts in statistics and insurance to showcase their cutting-edge work. We invite contributions that highlight novel statistical approaches, models, and tools that address various aspects of insurance and risk analysis. Topics of interest include, but are not limited to:
Actuarial Science: statistical methods for premium pricing, reserving, and loss modeling.
Risk Management: advanced statistical techniques for risk assessment and mitigation.
Data Analytics: big data analytics and machine learning in insurance applications.
Extreme Value Theory: statistical modeling of rare and extreme events.
Fraud Detection: statistical methods for detecting insurance fraud.
Catastrophe Modeling: statistical approaches to assess and manage catastrophic risks.
Health and Life Insurance: statistical modeling in health and life insurance contexts.
Cyber Insurance: statistical analysis of cybersecurity risks.
Climate and Environmental Risks: statistical methods for climate-related and environmental risk assessment.
We encourage submissions that promote interdisciplinary collaboration between statisticians, actuaries, economists, and experts in the insurance and risk management industry. Join us in advancing the field of statistical applications in insurance and risk, contributing to a safer and more secure future.
Dr. Silvia Dedu
Guest Editor
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. Risks 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 1800 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.
Keywords
- insurtech
- predictive modeling
- Bayesian statistics
- risk aggregation
- longevity risk
- regime-switching models
- claims reserving
- telematics data analysis
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