Stereology for Statisticians
By Adrian Baddeley, E. B. Jensen. 2004
305 citations recorded by the source corpus.
Subfields: Food Science
View Paper: https://www.semanticscholar.org/paper/96b6b3143d6c468fee3e142bc3392d1d1756dbd9
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In Food Science
Citations in the corpus
- Measurement of Areas on a Sphere Using Fibonacci and Latitude–Longitude Lattices (2009, methodology): “Numerous works deal with errors on the plane (Bardsley 1983, Jarái et al. 1997; Howarth 1998; Gundersen et al. 1999; Baddeley and Jensen 2004).”
- Spatial Point Processes and their Applications (2007, background): “This principle is important in applications to stereology [4].”
- A comparative review of dimension reduction methods in approximate Bayesian computation (2012, background): “Baddeley and Jensen 2004), whereby inference is required on the size and number of 3-dimensional inclusions, based on data obtained from those inclusions that intersect with a 2-dimensional slice. The model assumes a Poisson point process of inclusion locations with rate parameter τ > 0, and that th”
- A nonparametric approach to the estimation of lengths and surface areas (2007, background): “The estimation of the surface area of a body G in the Euclidean space R (“surface area” amounts to “boundary length” in the bidimensional case d = 2) has been extensively considered in stereology; see [1, 2, 12].”
- Statistical analyses of deformation twinning in magnesium (2010, result): “Because the grains were equi-axed and the sample size significant, the trends found in the following analysis are expected to be similar in 3D [43].”
- Inference for Stereological Extremes (2007, unknown): “The difficulty in extending results to more general families, including our ellipsoid family, has been discussed by Baddeley and Jensen (2004). Hence there appears to be no simple way to perform the likelihood calculations that would be an integral part of an MCMC algorithm or any other standard lik”