PPT-High Cost Claim Prediction for Actuarial Applications

Vincent Kane FSA MAAA Research Scientist DxCG A Division of Urix Inc The Second National Predictive Modeling Summit Washington DC September 22 2008 Predictive Modeling vs Risk Adjustment. ASSK PRESENTATION. 28. TH. NOVEMBER 2014. NAIROBI SAFARI CLUB. EZEKIEL MACHARIA. AGENDA. Specialization Areas. Role of an Actuary. Focus on Kenya and East Africa. Role of TASK. Using New Technology. Kickoff Meeting. August 23, 2011. Application Streamlining. Application Streamlining will allow the synchronization of . IT priorities. with . business priorities. . . Applications . will be managed as key assets of the institution.. EMPLOYEE BENEFITS. Daimler Benz in 1993 under German GAAP reported a profit of 168 million DM but under US GAAP for the same period, the company reported a loss of almost a billion DM, largely caused by pension blues. It highlighted problems relating to pension accounting & funding. . I . can identify the side of an argument an author presents in a text.. I can determine the credibility of the author and his/her purpose (who wrote it, when it was written, and why it was written). I can identify claims that are supported by fact(s) and those that are opinion(s). 1. Presenter. : Chris Gross. Predictive Modeling in Reserve Analysis. It’s all predictive modeling isn’t it?. This discussion refers to the what is commonly termed ‘predictive modeling’- multivariate models, statistical rigor, etc.. Observations. Prediction systems. Integration of CanSISE Research. Deliverable 1 Report. Issues and opportunities with regards to . the use . of . observations. We are in a good position to characterize the current observed state of the cryosphere relative to the historical record (IPCC AR5; SWIPA; Arctic Report Card etc.). Prediction is important for action selection. The problem:. prediction of future reward. The algorithm:. temporal difference learning. Neural implementation:. dopamine dependent learning in BG. A precise computational model of learning allows one to look in the brain for “hidden variables” postulated by the model. 1. 1. Basic Funding Concepts . Understanding the Actuarial Valuation. 2. Art Tepfer, A.S.A., M.A.A.A., E.A.. Tepfer Consulting Group, Ltd.. 145 Revere Drive. Northbrook, IL 60062. 847-509-7740 (847-922-8708 cell). Jim Waters, President, Bluegrass Institute. Aaron Ammerman, Investment Analyst*. William F. Smith, MD, Systems Analyst. *Board member, Bluegrass Institute. 2. Introduction. The purpose of this presentation is to provide sound solutions and an actionable plan to resolve our pension crisis. Niangjun Chen . Joint work with Joshua . Comden. , . Zhenhua. Liu, . Anshul. Gandhi, and Adam Wierman. 1. 2. Predictions are crucial . for decision . making. 3. Predictions are crucial for . decision . April 26, 2011. 2. Construction Defect Claim Management and Reserving. Presented by:. Nathan Voorhis, FCAS, MAAA. Robin Leibrock, JD. . Steven Jokerst, FCAS, MAAA. 3. What is a Construction Defect Claim?. February 28, 2014. Tisha Abastillas, FCAS. Outline. What is an Actuary?. What does an Actuary do?. How do you become an Actuary?. The Casualty Actuarial Society (CAS). Why become an Actuary?. What can you do right now?. Jim Waters, President, Bluegrass Institute. Aaron Ammerman, Investment Analyst*. William F. Smith, MD, Systems Analyst. *Bluegrass Institute Board Member. 2. Actuarial Funding of Benefits. YEAR. BENEFIT FACTOR. It146s a set of rules conditions or criteria that determine when the MIRA system sets a claim reserve or removes a claim reserve For example start logic criteria could include when a claims service sp