STATS 4CI3
COMPUTATIONAL METHODS FOR INFERENCE
Monte Carlo methods; bootstrap and jackknife methods; multi-parameter maximum likelihood; computation in nonlinear likelihood inference; The EM Algorithm; sufficiency and its applications; optimal hypothesis …
Fall 2026 · C01
Monte Carlo methods; bootstrap and jackknife methods; multi-parameter maximum likelihood; computation in nonlinear likelihood inference; The EM Algorithm; sufficiency and its applications; optimal hypothesis …
Readings
- • Computational Statistics (Second Edition), Geoff H. Givens and Jennifer A. Hoeting, Wiley, 2013.
- • Introducing Monte Carlo Methods with R, Christian P. Robert and George Casella, Springer, 2010.
- • Bootstrap Methods and Their Application, Anthony C. Davison and David V. Hinkley, Cambridge University Press, 1997.
Sources
- Course catalogue ↗2026–2027
- Campus Store (short title) ↗
- Course outline / syllabus ↗Fall 2026
- The outline explicitly states that no textbook is required.