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Importance of habitat heterogeneity and biotic processes in the spatial distribution of a riparian herb (Carex remota L.): a point process approach
(Springer, 2013-01)
This study attempts to understand the dependence on abiotic factors and on the biotic process of the population development. We used three spatial point process models (Poisson, Area-Interaction and shot-noise Cox processes) ...
The damped pendulum random differential equation: A comprehensive stochastic analysis via the computation of the probability density function
(Elsevier B.V., 2018-08-13)
This paper deals with the damped pendulum random differential equation: X¨(t)+2ω0ξX˙(t)
+ ω
2
0
X(t) = Y(t), t ∈ [0, T ], with initial conditions X(0) = X0 and X˙(0) = X1. The
forcing term Y(t) is a stochastic process ...
Single-pixel polarimetric imaging spectrometer by compressive sensing
(Springer, 2013-12)
We present an optical system that performs polarimetric spectral imaging with a detector with no spatial resolution. This fact is possible by applying the theory of compressive sampling to the data acquired by a sensor ...
Shape description from generalized support functions
(Elsevier, 2013)
The generalized support function is considered to be a representation of shape properties of compact connected sets in R2. Some interesting properties are studied and several parameters are defined for use in shape description ...
Percentage Points of a Test Statistic Useful in Manova with Structured Covariance Matrices
(Nova Science Publishers, 2013)
The exact distribution of a test statistic ΛH for testing equality of mean vectors of m p-variate Gaussian populations having compound symmetry has been derived using inverse Mellin transform, calculus of residues and ...
A continuous wavelet-based approach to detect anisotropic properties in spatial point processes
(World Scientific Publishing, 2013)
A two-dimensional stochastic point process can be regarded as a random measure and thus represented as a (countable) sum of Delta Dirac measures concentrated at some points. Integration with respect to the point process ...
On wavelet-based energy densities for spatial point processes
(Springer, 2013-08)
A spatial point process can be considered a random measure and therefore represented as a countable sum of Delta Dirac measures concentrated at some points of the process. Applying a two-dimensional continuous wavelet ...
Object oriented data analysis under spatial correlation
(WILEY-VCH, 2014-09)
This is a discussion of the following paper: “Overview of object oriented data analysis” by J. Steve Marron and Andre ́s M. Alonso.
Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis
(IEEE, 2018-11)
The generative semantic nature of probabilistic topic models has recently shown encouraging results within the remote sensing image fusion field when conducting land cover categorization. However, standard topic models ...
Classification of Events Using Local Pair Correlation Functions for Spatial Point Patterns
(American Statistical AssociationInternational Biometrics SocietySpringer Verlag, 2021-05-12)
Spatial point pattern analysis usually concerns identifying features in an observation window where there is also noise. This identification traditionally begins with studying the second-order properties of the point ...