Random effect models in nonlinear regression with applications to bioassay

by the EU TMR network ERB-FMRX-CT960096 and the Stochastic Centre at Chalmers University. Both authors acknowledge the support by the ESF program Highly structured stochastic systems. We are grateful to Ib Skovgaard, Wilfrid Kendall and Jesper Mller for inspiring discussions. We also thank Mats Rudemo

The first issue of this workshop was co-organized by Jacques Istas and Mats Rudemo in Garchy (France) in 1996. Since it has been organized every two years alternatively in Denmark and France. The attendees are from Denmark and France of course, but also from other Scandinavian countries, United

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continuation of Dralle (1997) (especially Dralle & Rudemo (1996) and Dralle & Rudemo (1997)), and is...

Planar Cox processes directed by a log Gaussian intensity process are investigated in the univariate and multivariate cases. The appealing properties of such models are demonstrated theoretically as well as through data examples and simulations. In particular, the first, second and third-order properties are studied and utilized in the statistical analysis of clustered point patterns. Also empirical Bayesian inference for the underlying intensity surface is considered.

A method for detecting Spruce tree tops in high resolution panchromatic images at acute angles has earlier been reported. The method uses an optical tree model and flight data to generate a template tree image, i.e. an image of what the "average" tree would look like if placed at a certain point in the imaged scene. A window into the template image is matched to the actual forest image by at each pixel computing the correlation of the local intensity values. Local maxima in the resulting correlation image correspond to high similarity with the template image and thus correspond to positions where there might be a tree. It is clear that the shape and size of the match window and its placement within the template image has an impact on the performance of this tree top detection algorithm. For a specific parameterisation of the match window shape, size and placement and a specific set of images where the real tree positions are known one can find an empirical optimum for the average perfo...

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To estimate positions of individual spruce tree tops in highresolution aerial photographs, templates derived from an optical tree crown model and from the geometry at image acquisition are used. This approach makes it possible to ønd and position tree tops from a wide range of viewing angles. The optical model includes single reAEection from two types of scatterers: ineedlesj and ibranchesj. The shadow cast by the tree is also imaged as it is an important cue for identifying trees, especially from some ooe-nadir viewing angles. A circular tree top image template is produced for each scene. Local maxima of the correlation function for the successively transposed template over the whole image are found, followed by elimination of spurious template matches. Performance is evaluated by use of data from a thinning experiment in Norway spruce and compared to the performance of a simpler optical model used in earlier work. 1 INTRODUCTION The problem of locating individual trees in aerial phot...