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Propagation of uncertainty

Known as: Propagated error, Propogation of error, Uncertainty propagation software 
In statistics, propagation of uncertainty (or propagation of error) is the effect of variables' uncertainties (or errors, more specifically random… 
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Related topics

Related topics

16 relations
Approximation errorAutomatic differentiationDead reckoningError analysis (mathematics)

Broader (1)

Numerical analysis

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2012
Highly Cited
2012
Coupling detection and data association for multiple object tracking
We present a novel framework for multiple object tracking in which the problems of object detection and data association are… 
2012
2012
Distributed Soft Video Broadcast (DCAST) with Explicit Motion
Video broadcasting is a popular application of wireless network. However, the existing layered approaches can hardly accommodate… 
Highly Cited
2006
Highly Cited
2006
An active star topology for improving fault confinement in CAN networks
The controller area network (CAN) is a field bus that is nowadays widespread in distributed embedded systems due to its… 
Highly Cited
2005
Highly Cited
2005
An analytical approach for soft error rate estimation in digital circuits
Soft errors due to cosmic rays cause reliability problems during lifetime operation of digital systems, which increase… 
Highly Cited
2000
Highly Cited
2000
Error-resilient video transmission using long-term memory motion-compensated prediction
Long-term memory prediction extends the spatial displacement vector utilized in hybrid video coding by a variable time delay… 
Highly Cited
1999
Highly Cited
1999
Analysis of error propagation in hybrid video coding with application to error resilience
A theoretical analysis of the overall mean squared error (MSE) in hybrid video coding is presented for the case of error prone… 
Highly Cited
1996
Highly Cited
1996
Test response compaction using multiplexed parity trees
Built-in self-testing requires test response streams from many observation points to be merged (space compaction) and compressed… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Review
1980
Review
1980
Statistical models for the image restoration problem
Review
1978
Review
1978
Errors in Practical Measurement in Science, Engineering, and Technology
This book discusses statistical measurement, error theory, and statistical error analysis. The topics of the book include an… 
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