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This is a four day-long course that will give the attendee an introduction to R, but with the objective of preparing attendees to be able to apply what they've learned upon completion of the course. To that end, the focus is on direct, interactive content delivery.
The purpose of the seminar is to provide the participant with an overview of the various sources of data that can be used to supplement the insurance company's internal data or the client's own data to enhance analyses and will cover several important considerations around the use of external data.
The PA Bootcamp will cover topics from both the classical statistics and machine learning paradigms. Ordinary Least Squares [OLS] regression and Generalized Linear Models will be treated as foundation, and covered in depth on Day 1.
This is a four day-long course that will give the attendee an introduction to R, but with the objective of preparing attendees to be able to apply what they've learned upon completion of the course. To that end, the focus is on direct, interactive content delivery.
This seminar is designed to provide a general survey of techniques which complement the GLM framework. A substantive case study, as well as a number of smaller case studies, will complement the theoretical discussion with hands-on experience applying the techniques.
The four-part Basic Ratemaking virtual workshop offers a complete understanding of the basic concepts and practices needed for ratemaking. These concepts include how to calculate an overall indication, how to calculate indications for various rating plans and consider data on a multivariate basis, how to develop increased limit factors with data, and how to present this data in a rate filing.
This is a four day-long course that will give the attendee an introduction to R, with the objective of preparing attendees to be able to apply what they've learned upon completion of the course. To that end, the focus is on direct, interactive content delivery.
Data and information are key to the actuary’s day to day work. Internal data from the insurance company or the client itself is only one source of data and information. Other sources are often a major component of state-of-the art actuarial analysis made in the P&C actuarial field.
Understanding reserve variability has become an important skill for the practicing actuary. Moving from point estimates and deterministic ranges to distributions of possible outcomes is one of the critical quantitative building blocks for effective Enterprise Risk Management. Insurance executives, regulators, risk managers and rating agencies are all beginning to raise the bar for the actuarial profession with respect to discussing and disclosing insurance risk calculations.
The Casualty Actuarial Society (CAS) is delighted to host the 2022 Actuarial Colloquia in Orlando, Florida, USA. The Actuarial Colloquia comprise the AFIR-ERM (Finance, Investment & Enterprise Risk Management) and ASTIN (Non-Life Insurance) Sections of the International Actuarial Association (IAA). For more information:https://actuarialcolloquia2021.org/
https://www.cia-ica.ca/perfectionnement/meeting-archives/past-meeting-programs/2018/2018-infocus
The RPM Seminar Committee is putting on this two-day event with eight carefully curated sessions. You can register for one day or all two days at a discount. We have scheduled breaks and exhibit time to allow you to interact with other attendees and exhibitors or to take care of your own work.
As actuaries work more and more with teams of data scientists and software engineers, they are more likely to encounter use of the Python programming language. While R is an environment for performing statistical analysis, Python is a general purpose programming language.
