Chord-length distribution functions and Rice formulae. Application to random media
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Publication:907281
DOI10.1007/s10687-011-0141-yzbMath1329.60311OpenAlexW2149541957MaRDI QIDQ907281
Anne Estrade, Ileana Iribarren, Marie F. Kratz
Publication date: 25 January 2016
Published in: Extremes (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10687-011-0141-y
Geometric probability and stochastic geometry (60D05) Stationary stochastic processes (60G10) Extreme value theory; extremal stochastic processes (60G70) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55) Renewal theory (60K05)
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How fast can the chord length distribution decay? ⋮ Gaussian integrals and Rice series in crossing distributions -- to compute the distribution of maxima and other features of Gaussian processes
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Cites Work
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- A note on Durbin's formula for the first-passage density
- Level crossings and other level functionals of stationary Gaussian processes
- Multi-phase image modelling with excursion sets.
- Evaluating nearly singular multinormal expectations with application to wave distributions
- The expected number of zeros of continuous stationary Gaussian processes
- Joint distribution of successive zero crossing distances for stationary Gaussian processes
- The distribution of intervals between zeros of a stationary random function
- Level Sets and Extrema of Random Processes and Fields
- Reflections on Rice's Formulae for Level Crossings - History, Extensions and Use
- Random Fields and Geometry
- The Expected Number of Zeros of a Stationary Gaussian Process
- Wave-length and amplitude in Gaussian noise
- On the regularity of the distribution of the maximum of one-parameter Gaussian processes
- Random heterogeneous materials. Microstructure and macroscopic properties
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