MULTIPLE TESTING OF LOCAL MAXIMA FOR DETECTION OF PEAKS IN 1D
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Summary
Simulations show that error levels are maintained for nonasymptotic conditions, and that power is maximized when the smoothing kernel is close in shape and bandwidth to the signal peaks, akin to the matched filter theorem in signal processing.
- Type
- article
- Published
- 2011-12-01
- Cited by
- 62
- References
- 42
- Access
- Open access
- OpenAlex
- https://openalex.org/W1979083915
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:11170455
Keywords
Mathematics, False discovery rate, Bonferroni correction, Maxima, Smoothing
References
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- Digital Communication Techniques: Signal Design and Detection
- A unified statistical approach for determining significant signals in images of cerebral activation
- False Discovery Rates for Spatial Signals
- Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference
- Combining spatial extent and peak intensity to test for activations in functional imaging.
- Topological FDR for neuroimaging
- Stationary and Related Stochastic Processes
- Scan clustering: A false discovery approach
- Deconvolution of Sparse Positive Spikes
- False Discovery Control for Random Fields
- Searching scale space for activation in PET images
Cited by
- Rate-Optimal Detection of Very Short Signal Segments
- MULTIPLE TESTING OF LOCAL MAXIMA FOR DETECTION OF PEAKS IN CHIP-SEQ DATA
- Post-hoc power estimation for topological inference in fMRI
- Intensity estimation of non-homogeneous Poisson processes from shifted trajectories
- Statistics of Particle Detection From Single-Channel Fluorescence Signals for Flow Cytometric Applications
- Distribution of the Height of Local Maxima of Gaussian Random Fields
- Application of Machine Learning to Development of Copy Number Variation-based Prediction of Cancer Risk
- Scan Statistic Tail Probability Assessment Based on Process Covariance and Window Size
- The circular SiZer, inferred persistence of shape parameters and application to stem cell stress fibre structures
- On the Explicit Height Distribution and Expected Number of Local Maxima of Isotropic Gaussian Random Fields
- Multiple testing of local maxima for detection of peaks on the (celestial) sphere
- Practical and accurate approaches to statistical significance and power for fMRI
- A region-based multiple testing method for hypotheses ordered in space or time
- The circular SiZer, inferred persistence of shape parameters and application to early stem cell differentiation.
- LandScape: a simple method to aggregate p-values and other stochastic variables without a priori grouping
- Space-time cluster combining for UWA communications
- Partikeldetektion in mikrofluidischen Systemen
- Selection-Corrected Statistical Inference for Region Detection With High-Throughput Assays
- Topological False Discovery Rates for Brain Mapping Based on Signal Height
- MMCTest—A Safe Algorithm for Implementing Multiple Monte Carlo Tests
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