On excursion sets, tube formulas and maxima of random fields
By Robert J. Adler. 2000
233 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Environmental Engineering, Signal Processing
View Paper: https://www.semanticscholar.org/paper/a569aab8734ff45b1f41b270dfcbf37a664f4046
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Larry A. Wasserman
- Jonathan E. Taylor
- Keith J. Worsley
- Francesco Fedele
- Robert J. Adler
- Akimichi Takemura
- M. Charras-Garrido
- Pascal Lezaud
In Environmental Engineering
- Jonathan E. Taylor
- Francesco Fedele
- Akimichi Takemura
- Keith J. Worsley
- M. Charras-Garrido
- Pascal Lezaud
- Satoshi Kuriki
- Robert J. Adler
In Signal Processing
- Jonathan E. Taylor
- Francesco Fedele
- Akimichi Takemura
- M. Charras-Garrido
- Keith J. Worsley
- Pascal Lezaud
- Satoshi Kuriki
- Larry A. Wasserman
Citations in the corpus
- On Oceanic Rogue Waves (2015, methodology): “In this regime, the statistics of extreme waves can be described with the Tayfun (1980) model coupled with AdlerTaylor (2009) theory on the Euler-characteristics of random fields.”
- False Discovery Control for Random Fields (2004, methodology): “Using inequality (1.1.7) of Adler (2000), ( 1 − 1 z2 ) ϕ(z) z ≤ (1 − (z)) ≤ ϕ(z) z , we get the conditions −bz π l2 + √ b π pl + e z ≤ 0 for e ≥ 0, and −bz π l2 + √ b π pl + ( 1 − 1 z2 ) e z ≤ 0 for e 0.”
- Topological complexity of smooth random functions (2011, background): “[4,8,9,74,87, 89, 90] with an excellent introductory review in [88]).”
- An informational approach to the global optimization of expensive-to-evaluate functions (2006, unknown): “However, no tractable analytical expression for pX∗|fS (x) is available [ 2 ,19].”
- Validity of the expected Euler characteristic heuristic (2005, unknown): “Referring to (4), certainly not every smooth Gaussian process of interest is isotropic, nor are the conditions required of M easily interpretable (cf. Definition 4.5.1 in [ 3 ]).”
- A gaussian kinematic formula (2006, methodology): “A heuristic justification of the above approximation can be found in [2, 6], with a rigorous justification in [17].”
- Random fields of multivariate test statistics, with applications to shape analysis (2008, methodology): “In an unpublished manuscript by Sun (referenced in Adler [ 2 ]), it was generalized to include more general boundary cases.”
- Statistical analysis of fNIRS data: A comprehensive review (2014, unknown): “(44) is the so-called " Possion clumping heuristics " saying that, for a large threshold value u, the excursion set usually has one cluster (i.e. EC value becomes one) without holes; so the mean value is a good approximation of the excursion probability (Adler, 2000; Adler and Taylor, 2007).”
- Extreme Value Analysis: an Introduction (2013, methodology): “In addition, Adler (2000) and Azaïs and Wschebor (2009) are mainly dedicated to level sets and extrema of Gaussian random fields.”
- Sparse Shape Representation using the Laplace-Beltrami Eigenfunctions and Its Application to Modeling Subcortical Structures (2012, methodology): “For RFT to work, the Gaussianness and smoothness of data are needed [1, 35].”
- NIRS-SPM: statistical parametric mapping for near infrared spectroscopy (2008, unknown): “The expected EC approach has been extensively studied by Adler ( Adler, 1981, 2000; Adler and Taylor, 2007), Worsley (Worsley, 1994, 1995; Cao and Worsley, 1999b) and more recently by Taylor et al.”
- ON THE EQUIVALENCE OF THE TUBE AND EULER CHARACTERISTIC METHODS FOR THE DISTRIBUTION OF THE MAXIMUM OF GAUSSIAN FIELDS OVER PIECEWISE SMOOTH DOMAINS (2002, methodology): “General discussion on this equivalence was given in a recent paper by Adler (2000) .”