Seminarium, Matematisk statistik

Kalenderhändelser saknas för aktuell period.

Kommande kalenderhändelser:

• Holger Drees: Analysis of the Extremal Dependence Structure of Time Series with Applications to Financial Modeling

  2 okt

  Seminarium, Matematisk statistik

  måndag 2017-10-02, 15.15 - 16.15

  Medverkande: Holger Drees

  Plats: Seminarierummet F11, Institutionen för matematik, KTH, Lindstedtsvägen 22

  2017-10-02T15:15:00.000+02:00 2017-10-02T16:15:00.000+02:00 Holger Drees: Analysis of the Extremal Dependence Structure of Time Series with Applications to Financial Modeling (Seminarium, Matematisk statistik) Seminarierummet F11, Institutionen för matematik, KTH, Lindstedtsvägen 22 (KTH, Stockholm, Sweden)Holger Drees: Analysis of the Extremal Dependence Structure of Time Series with Applications to Financial Modeling (Seminarium, Matematisk statistik)

• Abhishek Pal Majumder: Long time asymptotics of some stochastic reaction networks

  4 okt

  Seminarium, Matematisk statistik

  onsdag 2017-10-04, 15.15 - 16.15

  Medverkande: Abhishek Pal Majumder (SU)

  Plats: Room 306, House 6, Kräftriket, Department of Mathematics, Stockholm University

  2017-10-04T15:15:00.000+02:00 2017-10-04T16:15:00.000+02:00 Abhishek Pal Majumder: Long time asymptotics of some stochastic reaction networks (Seminarium, Matematisk statistik) Room 306, House 6, Kräftriket, Department of Mathematics, Stockholm University (KTH, Stockholm, Sweden)Abhishek Pal Majumder: Long time asymptotics of some stochastic reaction networks (Seminarium, Matematisk statistik)

• Michael Höhle: Evaluating quality of care using time-to-event endpoints based on patient follow-up data

  11 okt

  Seminarium, Matematisk statistik

  onsdag 2017-10-11, 15.15 - 16.15

  Medverkande: Michael Höhle, Federal Institute for Quality Assurance and Transparency in Healthcare, Berlin & (SU)

  Plats: Room 306, House 6, Kräftriket, Department of Mathematics, Stockholm University

  2017-10-11T15:15:00.000+02:00 2017-10-11T16:15:00.000+02:00 Michael Höhle: Evaluating quality of care using time-to-event endpoints based on patient follow-up data (Seminarium, Matematisk statistik) Room 306, House 6, Kräftriket, Department of Mathematics, Stockholm University (KTH, Stockholm, Sweden)Michael Höhle: Evaluating quality of care using time-to-event endpoints based on patient follow-up data (Seminarium, Matematisk statistik)