# Actuarial Science
*Actuarial Science* Map of Content houses all notes related to Actuarial Science in general.
## Contents
- [[#Mindmap View|Mindmap View]]
- [[#Related Maps of Content|Related Maps of Content]]
- [[#Notes about Actuarial Science|Notes about Actuarial Science]]
- [[#Notes about Actuarial Science#Master Resource List|Master Resource List]]
- [[#Notes about Actuarial Science#General Reference|General Reference]]
- [[#Notes about Actuarial Science#Practice and Theory|Practice and Theory]]
- [[#Notes about Actuarial Science#Analytics and Statistics|Analytics and Statistics]]
- [[#Notes about Actuarial Science#Development|Development]]
- [[#Development#Tools|Tools]]
- [[#Tools#R|R]]
- [[#Tools#R Shiny|R Shiny]]
- [[#Tools#Python|Python]]
- [[#Development#Data|Data]]
- [[#Notes about Actuarial Science#Organizations|Organizations]]
- [[#References and Academic Papers|References and Academic Papers]]
- [[#Appendix: Dataviews|Appendix: Dataviews]]
- [[#Appendix: Dataviews#Tagged as *Topic/Actuarial*|Tagged as *Topic/Actuarial*]]
- [[#Appendix: Dataviews#Links to this File|Links to this File]]
### Mindmap View
## Related Maps of Content
- [[Finance]]
- [[Mathematics and Statistics]]
- [[Data Science]]
- [[Software Development]]
- [[2-Areas/MOCs/R|R]]
- [[2-Areas/MOCs/Python|Python]]
- [[Databases]]
## Notes about Actuarial Science
### Master Resource List
- [[Actuarial Development Master Resource List]]
### General Reference
- [[Actuarial Acronyms and Definitions]]
### Practice and Theory
- [[Property Casualty Loss Reserving Methodologies]]
- [[Loss Triangles]]
- [[Interest Rate Theory]]
- [[Loss Data Analytics]]
- [[Actuarial Exams]]
- [[Property Casualty vs Life Insurance]]
- [[Self Insurance and Captive Insurance]]
- [[Interpolation of Cumulative Loss Development Factors]]
- [[Discounting Cash Flows]]
- [[Excess Loss Factors]]
- [[Actuarial Risk Allocation]]
- [[Non-Life Actuarial Coverages]]
- [[Actuarial Experience Studies]]
- [[Free Actuarial System for Loss Reserving]]
- [[Credibility Theory]]
### Analytics and Statistics
- [[Probability Theory]]
- [[Bayesian Statistics]]
- [[Loss Data Analytics]]
- [[Credibility Theory]]
- [[Machine Learning]]
- [[Generalized Linear Models]]
- [[Generalized Additive Models]]
- [[Neural Networks]]
- [[Random Forest Algorithms]]
### Development
- [[Simulating Actuarial Claims Data with R]]
- [[Actuarial Data Science and Financial Modeling with Microsoft Azure]]
- [[Actuarial Rate Indications Automation]]
- [[Miniature Insurance Economic Simulator]]
- [[Property Casualty Data Model]]
- [[R Shiny - The Big Long - An Interactive Actuarial Simulation]]
- [[Data Warehouse for Insurance]]
- [[Problems with No-Code and Low-Code Tools]]
- [[Actuarial Development Master Resource List]]
#### Tools
- [[Prophet]]
##### R
*See Also: [[2-Areas/MOCs/R]] | [[Data Science]]*
- [[R Package - ChainLadder]]
- [[R Package - deeptriangle]]
- [[R Package - simulationmachine]]
- [[R Package - rsvr]]
- [[R Package - imaginator]]
- [[R Package - raw]]
- [[R Package - insurancerating]]
- [[R Package - conjuror]]
- [[R Package - casdown]]
- [[R Package - casdata]]
- [[R Package - actuar]]
- [[R Package - cascsim]]
##### R Shiny
- [[R Shiny - The Big Long - An Interactive Actuarial Simulation]]
##### Python
- [[3-Resources/Tools/Python/Python Packages 1/Python Package - ChainLadder]]
- [[3-Resources/Tools/Python/Python Packages 1/Python Package - tryangle]]
- [[Python Package - trikit]]
#### Data
- [[Property Casualty Data Model]]
- [[R - Simulate Actuarial Claims Data - Simulation R Script]]
- [[Actuarial Property Casualty Data Thoughts]]
- [[Data Warehousing for Insurance Data]]
- [[Data Warehouse for Insurance]]
- [[Data Science Lifecycle]]
### Organizations
- [[CAS - Casualty Actuarial Society]]
- [[SOA - Society of Actuaries]]
- [[KasaAI GitHub Organization]]
- [[PirateGrunt GitHub Organization]]
- [[Open Actuarial]]
- [[Actuarial Voodoo]]
## References and Academic Papers
- [[Badounas and Pitselis - 2020 - Loss Reserving Estimation With Correlated Run-Off .pdf]]
- [[Adesina et al. - 2018 - USING R FOR ACTUARIAL ANALYSIS IN VALUATION AND RE.pdf]]
- [[Barnett and Zehnwirth - Best Estimates for Reserves.pdf]]
- [[Carrato et al. - Claims reserving with R ChainLadder-0.2.5 Package.pdf]]
- [[Dutang and Goulet - Simulation of insurance data with actuar.pdf]]
- [[3-Resources/Citations/Actuarial Science/files/154/Gabrielli and Wüthrich - Individual Claims Simulation Machine Description .pdf]]
- [[Goldburd et al. - GENERALIZED LINEAR MODELS FOR INSURANCE RATING Sec.pdf]]
- [[Gross - Individual Claim Development Models and Detailed A.pdf]]
- [[Jong and Heller - GENERALIZED LINEAR MODELS FOR INSURANCE DATA.pdf]]
- [[Koissi - 2019 - Emerging Data Analytics Techniques with Actuarial .pdf]]
- [[Krumenaker and Bukhbinder - 111-29 Developing Data Marts and Web-Enabled OLAP.pdf]]
- [[3-Resources/Citations/Actuarial Science/files/170/Kuo - 2019 - DeepTriangle A Deep Learning Approach to Loss Res.pdf]]
- [[Lekhak - Relational Database Design with an Auto Insurance .pdf]]
- [[Murphy - Unbiased Loss Development Factors.pdf]]
- [[Narayan - 2010 - Anatomy of Actuarial Methods of Loss Reserving.pdf]]
- [[Parodi - 2014 - Triangle-free reserving A non-traditional framewor.pdf]]
- [[Pentikainen and Rantala - A SIMULATION PROCEDURE FOR COMPARING DIFFERENT CLA.pdf]]
- [[Pettifer and Pettifer - A Practical Guide to Commercial Insurance Pricing.pdf]]
## Appendix: Dataviews
### Tagged as *Topic/Actuarial*
```dataview
list from #Topic/Actuarial AND -"Templates" AND -"MOCs" AND -"Changelog"
```
### Links to this File
```dataview
list from [[Actuarial Science]] AND -"Changelog" AND -"Actuarial Science"
```