We develop statistical methods for analysing a pattern of points on a region of the sphere, including intensity modelling and estimation, summary functions such as the K function, point process models, and model-fitting techniques. The methods are demonstrated by analysing a dataset giving the sky positions of galaxies
The aim of this paper is to consider point pattern distributions over a network considering network ...
With the advent of improved data acquisition technologies more complex spatial datasets can be coll...
International audienceThis paper presents a new algorithm for statistical inference and analysis of ...
This paper presents the use of marked point processes for studying the galaxy distribution in our Un...
Point pattern analysis often involves delineating the areal region occupied by a set of sample point...
A spatial point process is a random pattern of points on a space $A \subseteq \mathbb{R}^d$. Typical...
Many objects in space can best be modeled statistically by using point processes. Examples are fires...
Galaxies are not uniformly distributed in the observable Universe. Their positions induce structures...
Methods of analysis on a spherical earth are reviewed. The techniques are relevant to both point dat...
© 2018 The Author(s) Novelty detection is a particular example of pattern recognition identifying pa...
International audienceThis paper proposes a morphostatistical characterization of the galaxy distrib...
The aim of this thesis is to investigate, implement and apply different techniques of statistical po...
This chapter gives a brief introduction to spatial point processes, with a view to applications. The...
A triplet of functions for the characterisation of planar point patterns is introduced, which are re...
A triplet of function s for the statistical characterization of planar point patterns is introduced....
The aim of this paper is to consider point pattern distributions over a network considering network ...
With the advent of improved data acquisition technologies more complex spatial datasets can be coll...
International audienceThis paper presents a new algorithm for statistical inference and analysis of ...
This paper presents the use of marked point processes for studying the galaxy distribution in our Un...
Point pattern analysis often involves delineating the areal region occupied by a set of sample point...
A spatial point process is a random pattern of points on a space $A \subseteq \mathbb{R}^d$. Typical...
Many objects in space can best be modeled statistically by using point processes. Examples are fires...
Galaxies are not uniformly distributed in the observable Universe. Their positions induce structures...
Methods of analysis on a spherical earth are reviewed. The techniques are relevant to both point dat...
© 2018 The Author(s) Novelty detection is a particular example of pattern recognition identifying pa...
International audienceThis paper proposes a morphostatistical characterization of the galaxy distrib...
The aim of this thesis is to investigate, implement and apply different techniques of statistical po...
This chapter gives a brief introduction to spatial point processes, with a view to applications. The...
A triplet of functions for the characterisation of planar point patterns is introduced, which are re...
A triplet of function s for the statistical characterization of planar point patterns is introduced....
The aim of this paper is to consider point pattern distributions over a network considering network ...
With the advent of improved data acquisition technologies more complex spatial datasets can be coll...
International audienceThis paper presents a new algorithm for statistical inference and analysis of ...
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