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Sparse network estimation for dynamical spatio-temporal array models
Adam Lund
*
,
Niels Richard Hansen
*
Corresponding author for this work
Department of Mathematical Sciences
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Dive into the research topics of 'Sparse network estimation for dynamical spatio-temporal array models'. Together they form a unique fingerprint.
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Mathematics
Basis Functions
30%
Brain
68%
Communication
28%
Connectivity
56%
Demonstrate
18%
Dependence Structure
34%
Design
19%
Discretization
23%
Dyes
86%
Estimator
18%
Gradient Algorithm
38%
High Resolution
38%
Imaging
69%
Model
41%
Modeling
20%
Norm
18%
Penalty
29%
Proximal Algorithm
44%
Regression
23%
Spatial Resolution
49%
Stochastic Functional Differential Equations
41%
Tensor Product
27%
Three-dimensional
22%
Time Discretization
32%
Vector Autoregressive Model
46%
Voltage
71%
Weight Function
86%
Business & Economics
Communication
24%
Connectivity
95%
Data Base
37%
Dependence Structure
48%
Differential Equations
55%
Discretization
53%
Dyes
89%
Estimator
33%
Gradient
45%
Imaging
100%
Matrix
36%
Modeling
24%
Penalty
37%
Vector Autoregressive Model
45%