搜索结果: 1-15 共查到“统计学 point processes”相关记录18条 . 查询时间(0.102 秒)
Quasi-likelihood for Spatial Point Processes
Estimating function Fredholm integral equation Godambe information Int function Quasi-likelihood Regression model Spatial point process.
2013/4/27
Fitting regression models for intensity functions of spatial point processes is of great interest in ecological and epidemiological studies of association between spatially referenced events and geogr...
Quasi-likelihood for Spatial Point Processes
Estimating function Fredholm integral equation Godambe information Int function Quasi-likelihood Regression model Spatial point process.
2013/4/27
Fitting regression models for intensity functions of spatial point processes is of great interest in ecological and epidemiological studies of association between spatially referenced events and geogr...
Generalizations of Matérn's hard-core point processes
Point process marked Poisson process Maternhard-core process dependent thinning independent thinning pair correlation function
2012/11/22
Mat\'ern's hard-core processes are valuable point process models in spatial statistics. In order to extend their field of application, Mat\'ern's original models are generalized here, both as point pr...
Lasso and probabilistic inequalities for multivariate point processes
Multivariate counting process Hawkes processes adaptive estimation Lasso procedure Bernstein-type inequalities.
2012/9/17
Due to its low computational cost, Lasso is an attractive regularization method for high-dimensional statistical settings. In this paper, we consider multivariate counting processes depending on an un...
Modelling fixation locations using spatial point processes
Modelling fixation locations spatial point processes
2012/9/19
Whenever eye movements are measured, a central part of the analysis has to do withwheresubjects fixate, andwhy they fixated where they fixated. To a first approximation, a set of fixations can be view...
Penalized maximum likelihood estimation for generalized linear point processes
Penalized maximum likelihood estimation generalized linear point processes
2010/3/11
A framework of generalized linear point process models (glppm) much akin to glm for regression is developed where the intensity depends upon a linear predictor process through a known function.In the ...
Perfect simulation using dominated coupling from the past with application to area-interaction point processes and wavelet thresholding
coupling from the past (CFTP) dominated CFTP exact simulation local stability Markov chain Monte Carlo perfect simulation
2010/3/11
We consider perfect simulation algorithms for locally stable point processes
based on dominated coupling from the past, and apply these methods
in two different contexts. A new version of the algori...
Residuals and goodness-of-fit tests for stationary marked Gibbs point processes
stationary marked Gibbs point processes residuals goodness-of-fit test quadrat count-ing test maximum pseudolikelihood estimator
2010/3/10
The inspection of residuals is a fundamental step to investigate the
quality of adjustment of a parametric model to data. For spatial
point processes, the concept of residuals has been recently prop...
Palm distribution and limit theorems for random point processes in R(n)
Palm distribution limit theorems random point processes in R(n)
2009/9/24
The paper deals with homogeneous random point processes
in Rn. Our aim is to obtain sufficient conditions for asymptotic
normality of the number of points of a point process P in a ball when the
ra...
Convergence of random measures and point processes on the plane
Convergence of random measures point processes on the plane
2009/9/24
Convergence of random measures and point processes on the plane。
Stable and multiply self-decomposable point processes
Stable multiply self-decomposable point processes
2009/9/24
Using the thinning operator there are defined stable
and multiply selfdecomposable point processes. A representation for
generating functional of such processes is given. Moreover, stable
and Poiss...
Spatial Mixture Modelling for Unobserved Point Processes: Examples in Immunofluorescence Histology
Bayesian computation blocked Gibbs sampler Dirichlet process mixture model inhomogeneous Poisson process
2009/9/24
We discuss Bayesian modelling and computational methods in analysis of indirectly observed spatial point processes. The context involves noisy measurements on an underlying point proces...
Orderliness and compensation for multiparameter point processes
Orderliness compensation multiparameter point processes
2009/9/23
Orderliness and compensation for multiparameter point processes。
Score Tests for Pairwise Interaction Parameters of Gibbs Point Processes
Score Tests Pairwise Interaction Parameters Gibbs Point Processes
2009/9/17
Score Tests for Pairwise Interaction Parameters of Gibbs Point Processes。
Maximum pseudolikelihood estimator for exponential family models of marked Gibbs point processes
stationary marked Gibbs point processes pseudolikelihood method minimum contrast estimators
2009/9/16
This paper is devoted to the estimation of a vector θ parametrizing an energy function of a Gibbs point process, via the maximum pseudolikelihood method. Strong consistency and asymptotic normality re...