Seminar, Mathematical statistics

No calendar events were found within the current period.

Upcoming calendar events:

• Arvid Sjölander and Ola Hössjer: Covariance inequalities, and bounds for causal effects under unmeasured confounding

  8 Sep

  Seminar, Mathematical statistics

  Wednesday 2021-09-08, 15:15 - 16:15

  Participating: Arvid Sjölander (Karolinska Institute) and Ola Hössjer (Stockholm University)

  Location: Zoom, registration required

  2021-09-08T15:15:00.000+02:00 2021-09-08T16:15:00.000+02:00 Arvid Sjölander and Ola Hössjer: Covariance inequalities, and bounds for causal effects under unmeasured confounding (Seminar, Mathematical statistics) Zoom, registration required (KTH, Stockholm, Sweden)Arvid Sjölander and Ola Hössjer: Covariance inequalities, and bounds for causal effects under unmeasured confounding (Seminar, Mathematical statistics)

• Karim Barigou: Bayesian model averaging for mortality forecasting using leave-future-out validation

  29 Sep

  Seminar, Mathematical statistics

  Wednesday 2021-09-29, 15:15 - 16:15

  Participating: Karim Barigou (IFSA, Lyon)

  Location: Zoom, registration required

  2021-09-29T15:15:00.000+02:00 2021-09-29T16:15:00.000+02:00 Karim Barigou: Bayesian model averaging for mortality forecasting using leave-future-out validation (Seminar, Mathematical statistics) Zoom, registration required (KTH, Stockholm, Sweden)Karim Barigou: Bayesian model averaging for mortality forecasting using leave-future-out validation (Seminar, Mathematical statistics)

• Manon Michel: Using piecewise deterministic Markov processes in MCMC sampling

  27 Oct

  Seminar, Mathematical statistics

  Wednesday 2021-10-27, 15:15 - 16:00

  Participating: Manon Michel (CNRS, Université Clermont-Auvergne)

  Location: Kräftriket, house 6, room 306

  2021-10-27T15:15:00.000+02:00 2021-10-27T16:00:00.000+02:00 Manon Michel: Using piecewise deterministic Markov processes in MCMC sampling (Seminar, Mathematical statistics) Kräftriket, house 6, room 306 (KTH, Stockholm, Sweden)Manon Michel: Using piecewise deterministic Markov processes in MCMC sampling (Seminar, Mathematical statistics)