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Multiple testing of local maxima for detection of peaks in random fields
Dan Cheng
, Armin Schwartzman
Research output
:
Contribution to journal
›
Article
›
peer-review
17
Scopus citations
Overview
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Dive into the research topics of 'Multiple testing of local maxima for detection of peaks in random fields'. Together they form a unique fingerprint.
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Mathematics
Multiple Testing
82%
Random Field
67%
False Discovery Rate
42%
Exact Distribution
36%
p-Value
35%
Extremes
29%
Magnetic Resonance Image
27%
Overshoot
22%
Gaussian Random Field
20%
Thresholding
19%
Gaussian Noise
19%
Search Space
19%
Brain
18%
Bandwidth
16%
Smoothing
15%
Critical point
14%
Euclidean
13%
Unknown
10%
Simulation
10%
Computing
10%
Generalise
9%
Arbitrary
8%
Approximation
8%
Business & Economics
Random Field
100%
Testing
55%
P Value
39%
Overshoot
23%
Critical Point
21%
Bandwidth
18%
Smoothing
17%
Approximation
13%
Simulation
11%