Click APA Program (PDF) or on the image to download a copy of the conference program.
Presentations Slides
Invited Talks:
- Patrick L. Brockett, “Rapid Estimation of Disaster Relief Fund Distribution: Iterative Learning with Diverse Geospatial Data Inputs”, University of Texas at Austin, USA.
- Ian Duncan, “Healthcare: How Can We Harness Predictive Analytics for Patients, Providers and Payers? (PDF)”, University of California Santa Barbara, USA. Slides to download.
- Edward W. (Jed) Frees, “Predictive Analytics and Medical Errors (PDF)”, University of Wisconsin-Madison, USA. Slides to download.
- Greg Taylor, “The Long Road to Enlightenment: Loss Reserving Models from the Past, with Some Speculation on the Future (PDF)”, University of New South Wales, Australia. Slides to download.
Panel Discussion in Life Insurance
Panelists:
- Ian Bancroft, Sun Life Financial - Predictive Modeling (PDF)
- Kevin Pledge, Claim Analytics - Predictive Analytics in Life Insurance (PDF)
- Jean-Yves Rioux, Deloitte Canada - Predictive Analytics in Life Insurance (PDF)
- Eugene Wen, Manulife Financial
Panel Discussion in P&C Insurance
Panelists:
- Jeffrey Baer, Economical Insurance - APA 2017 (PDF)
- Denise Cheung, Aviva Canada
- Sebastien Bernard, Intact Insurance - Advances in Predictive Analytics in P&C insurance (PDF)
- Frédérick Guillot, The Co-operators Insurance and Financial Services - How & When Predictive Modeling is Leveraged at the Co-operators + What are Possible Areas for Academic Research? (PDF)
Parallel Session 1A: Modern Analytics for Insurance Premium Rating
- Mathieu Boudreault, “Pricing River Flood Risk Using a Hierarchical Model Based Upon Physics, Statistics and Actuarial Science”, The Université du Québec à Montréal, Canada
- Liqun Diao, “Regression Tree Credibility Model (PDF)”, University of Waterloo, Canada
- Jose Garrido, “Bayesian Credibility for GLMs (PDF)”, Concordia University, Canada
Parallel Session 1B: Predictive Analytics for Variable Annuities
- Ou Dang, “Efficient Nested Simulation for Conditional Tail Expectation of Variable Annuities (PDF)”, University of Waterloo, Canada
- Mingbin Feng, “Efficient Valuation of Large Portfolio of Variable Annuities via Simulation (PDF)”, University of Waterloo, Canada
- Guojun Gan, “An Introduction to Data Clustering with Actuarial Applications (PDF)”, University of Connecticut, USA
Parallel Session 2A: Neural Network for Insurance Applications
- Betül Zehra Karagül, “Motor Own Damage Insurance Pricing with Neural Networks”, Hacettepe University, Turkey
- Hongjun Ha, “A Neural Network Monte Carlo Evaluation of Withdrawal Benefits in Variable Annuities (PDF)”, Saint Joseph’s University, USA
Parallel Session 2B: Predictive Modelling for Insurance Applications
- Lina Xu, “Approaches to Validating Methodologies and Models with Insurance Applications (PDF)”, Columbia University, USA
- Brian Hartman, “Estimating Loss Reserves Using Hierarchical Bayesian Gaussian Process Regression with Input Warping (PDF)”, Brigham Young University, USA
Parallel Session 3A: Data Mining in Insurance and Finance
- Thomas W. Sproul, “Simulated Posterior Predictive Checks for Mixture Models (PDF)”, University of Rhode Island, USA
- Emiliano A. Valdez, “Data Mining Techniques for Actuaries: An Overview (PDF)”, University of Connecticut, USA
Parallel Session 3B: Predictive Modelling in Insurance and Finance
- Himchan Jeong, “A Predictive Random Effects Model of Dependent Claims Frequency and Severity (PDF)”, University of Connecticut, USA
- Mostafa Pouralizadeh Jobejarkoli, “Forecasting Implied Volatility in a Risk Management Problem (PDF)”, Allameh Tabataba’i University, Iran
Parallel Session 4A: Predictive Analytics for Longevity Risk Management
- Adelaide Di Wu, “Non-parametric Bühlmann Credibility-based Approaches to Modeling Multi-Population Mortality Rates”, Simon Fraser University, Canada
- Rui Zhou, “Drivers of Mortality Dynamics: Identifying Age/Period/Cohort Components of Historical US Mortality Improvements (PDF)”, University of Manitoba, Canada
- Min Ji, “Predictive Analytics for Modeling Threshold Life Tables (PDF)”, Towson University, USA
Parallel Session 4B: Predictive Analytics for AgriInsurance and AgriBusiness
- Kai Liu, “Predicting Forage Crop Loss in the Presence of Systemic Weather Risk Using Remote Sensing Data: An Insurance Application”, University of Prince Edward Island, Canada
- Wenjun Zhu, “Factor Forecasting for Agricultural Production Process (PDF)”, Nanyang Technological University, Singapore