Risk Models (MR-CA)
Área
AC Matemática > UC Mestrados
Activa nos planos curriculares
Actuarial Science > Actuarial Science > 2º Ciclo > Unidades Curriculares Obrigatórias > Risk Models
Nível
2º Ciclo (M)
Tipo
Não Estruturante
Regime
Semestral
Carga Horária
Aula Teórica (T): 0.0 h/semana
Aula TeoricoPrática (TP): 3.5 h/semana
Trabalho Autónomo: 122.5 h/semestre
Créditos ECTS: 6.0
Objectivos
The student is expected:
- To use statistical methods to define and estimate models adequate to model claims behaviour or other relevant aspects of the actuarial work.
- To understand the assumptions implicit in each statistical technique.
- To recognize which assumptions and statistical technique are appropriate to solve a given problem.
Programa
- Review of Basic statistical concepts
- Non-parametric estimation
- Frequentist estimation
- Bayesian estimation
- Model Selection
- Simulation and Bootstrap
Metodologia de avaliação
The curricular unit will be taught by mean of theoretical-practical lectures using slides to underline the main points and using a computer to solve some examples. Student's autonomous work is a main point of teaching methodologies. Students must also solve a set of exercises. The final grade, on the scale of 0 to 20, is assigned on the basis of a written exam (70%) and an exam using the computer (30%) based on EXCEL and R.
Bibliografia
Principal
Loss Models ? From data to decisions
Klugman, S.A., Panjer, H.H. and Willmot, G.E.
2008
4th Edition, John Wiley & Sons, Inc., New-Jersey.
Bootstrap Methods and Permutation Tests
Hesterberg, T., Monaghan, S., Mooree, D.S., Clipson, A., Epstein, R.
2003
companion chapter 18 to The practice of Business Statistics by David S. Moore, MCCabe, Duckworth and Sclove.
Statistical Inference
Casella, G. and Berger, R.
2001
(Second Edition). Duxbury Press.
An Introduction to the Bootstrap
Efron, B. and Tibshirami, R.J.
1993
Chapman & Hall, New-York.
Simulation
Ross, S.M.
2002
3rd Edition, Academic Press
Applied Simulation Modeling
Seila, A., Ceric,V. and Tadikamalla,P.
2003
Duxbury Applied Serie.
All of Statistics: A Concise Course in Statistical Inference
Wasserman, L.
2004
New York, Springer.
Secundária
Não existem referências bibliográficas secundárias.