SFB 1294
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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
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