Open Science Research Excellence

ICASS 2022 : International Conference on Actuarial Science and Statistics

Jeddah, Saudia Arabia
November 15 - 16, 2022

Call for Papers

ICASS 2022 : International Conference on Actuarial Science and Statistics is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Actuarial Science and Statistics. The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:
  • Operations Research and Statistics
  • Decision analysis
  • Environment, energy, and natural resources
  • Financial engineering
  • Manufacturing, service sciences, and supply chain management
  • Policy Modelling and public sector work
  • Revenue management
  • Simulation
  • Stochastic models
  • Transportation
  • Assignment problem
  • Decision Analysis
  • Dynamic programming
  • Linear programming
  • Inventory theory
  • Optimal Maintenance
  • Optimization
  • Real options analysis
  • Stochastic processes
  • Systems analysis
  • Systems thinking
  • Statistical Mechanics
  • Medical Statistics
  • Queuing Theory & Stock Control
  • Mathematical Statistics
  • Medical Statistics
  • Non-Parametric Statistics
  • Operations Research
  • Probability
  • Experimental Design
  • Time Series Analysis and Forecasting
  • Mathematical Foundations of Internet Security
  • Numerical Solution of Elliptic Differential Equations
  • Complex Function Theory
  • Calculus of Variations
  • Probability
  • Regression Analysis
  • Wavelets and Data Compression Actuarial Science
  • Agricultural Statistics
  • Applied Statistics
  • Bayesian Statistics
  • Biostatistics
  • Business Statistics
  • Computational Statistics
  • Computer Simulations
  • Demographic Statistics
  • Econometrics
  • Educational Statistics
  • Environmental Statistics
  • Epidemiology Industrial Statistics
  • Management Science
  • Psychometrics
  • Quantitative Methods