SFB 1294
  • Home
  • About us
  • News
  • Research
    • Research Area A Theory and Algorithms
      • A01 Statistics for stochastic partial differential equations
      • A02 Long-time stability and accuracy of ensemble transform filter algorithms
      • A03 Sequential and adaptive learning under dependence and non-standard objective functions
      • A04 Nonlinear statistical inverse problems with random observations
      • A05 Combining non parametric statistical and probabilistic approaches for inference on cloud-of-points data
      • A06 Approximative Bayesian inference and model selection for stochastic differential equations (SDEs)
      • A07 Model order reduction for Bayesian inference
    • Research Area B Algorithms and Applications
      • B02 Inferring the dynamics underlying protrusion-driven cell motility
      • B03 Parameter inference and model comparison in dynamical cognitive models
      • B04 Parametric and nonparametric modeling of spatiotemporal change patterns in seismicity using Hawkes processes
      • B05 Attention selection and recognition in scene-viewing
      • B06 Novel methods for the 3D reconstruction of the dynamic evolution of the Van Allen belts using multiple satellite measurements
      • B07 Inferring active particle dynamics by data assimilation
      • B08 Continuous learning by integrating reinforcement learning and data assimilation to individualise drug treatments
      • B09 Neural network modelling of brain responses during language comprehension
    • Research Area Z Common Activities
      • Z03 Information Infrastructure for data assimilation
      • Associated Members
  • Events
  • Graduate School
  • Open Science
    • Publications
    • Presentations
    • Videos
    • Public Outreach
  • Open Positions
  • Internal Area
  • Contact
  1. Data assimilation - the collaborative research centre SFB1294
  2. Open Science
  3. Videos

Videos

Filter by Year
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • All

6th Kálmán Lecture by Richard Nickl

On posterior consistency in non-linear Bayesian data assimilation problems

by Richard Nickl (University of Cambridge, UK)

Please find the record he…

watch ›

5th Kalman Lecture by Nicolas Chopin

Nested cubing integration: how to get a O(N{-10}) error when you compute your favourite integral

by Nicolas Chopin (ENSAE, Institut Polytechnique de…

watch ›

Transport methods for data simulation-based inference and data assimilation

Talk by Youssef Marzouk (Massachusetts Institute of Technology, USA) at the Kick-Off Workshop of the 2nd phase of the SFB, September 14-15, 2021.

Fin…

watch ›

Introduction to Actor Critic Methods

Talk by Sean Meyn (University of Florida, USA) at the Kick-Off Workshop of the 2nd phase of the SFB, September 14-15, 2021.

Find the recording here.

… watch ›

Towards next generation dataassimilation algorithms for convective scale applications

Talk by Tijana Janjic Pfander (Ludwig-Maximilians-Universität München) at the Kick-Off Workshop of the 2nd phase of the SFB, September 14-15, 2021.

F…

watch ›

3. Kálmán lecture by Sara van de Geer

The Lasso revisited: entropy bounds and dual certificates watch ›

Kalman Lecture from Karen Willcox

Predictive data science for physical systems: From model reduction to scientific machine learning

Talk by Karen E. Willcox from the Oden Institute…

watch ›

Was ist Datenassimilation und wo kommt sie zum Einsatz?

 In diesem Video wird Datenassimiation verständlich erklärt. Schauen Sie das Erklär-Video.

watch ›

What is Data Assimilation?

Watch this short video to find out more!

watch ›

Multilevel Sampling Methods for Large-Scale Bayesian Problems

Aretha Teckentrup (University of Edinburg) at the SFB Kick-Off Workshop, September 25-26, 2017 watch ›

Data Assimilation for Stochastic Transport Models

Talk of Dan Crisan (Imperial College London) at the SFB Kick-Off Workshop, September 25-26, 2017 watch ›

Probabilistic Computation: A Role for Statisticians in Numerical Analysis?

Talk of Mark Girolami (Imperial College London) at the SFB Kick-Off Workshop, September 25-26, 2017 watch ›

Sequential Learning under dependent data: from stochastic to adversarial bandits

Talk of Alexandra Carpentier (University of Magdeburg) at the SFB Kick-Off Workshop, September 25-26, 2017 watch ›

Long-time stability and accuracy of the ensemble Kalman-Bucy filter

Talk of Wilhelm Stannat (TU Berlin) at the SFB Kick-Off Workshop, September 25-26, 2017 watch ›

Reconstructing evolution of the near-Earth radiation environment form satellite measurements

Talk of Yuri Shprits (GFZ Potsdam) at the SFB Kick-Off Workshop, September 25-26, 2017 watch ›

SFB 1294

Twitter

Coordinated by the University of Potsdam

Institute of Mathematics

SFB 1294 – Data Assimilation
Institute of Mathematics
Karl-Liebknecht-Str. 24-25
14476 Potsdam - OT Golm

SFB1294[at]uni-potsdam.de
+49 331 977 203137

Imprint

Top