搜索结果: 1-15 共查到“point processes”相关记录30条 . 查询时间(0.101 秒)
NETWORK DETECTION IN RASTER DATA USING MARKED POINT PROCESSES
Marked point processes RJMCMC graph digital terrain models networks
2016/7/28
We propose a new approach for the automatic detection of network structures in raster data. The model for the network structure is represented by a graph whose nodes and edges correspond to junction-p...
DETECTING LINEAR FEATURES BY SPATIAL POINT PROCESSES
Linear Feature Feature Detection Spatial Point Processes Global Optimization Simulated Annealing Markov Chain Monte Carlo
2016/7/28
This paper proposes a novel approach for linear feature detection. The contribution is twofold: a novel model for spatial point processes and a new method for linear feature detection. It describes a ...
A GRAPH BASED MODEL FOR THE DETECTION OF TIDAL CHANNELS USING MARKED POINT PROCESSES
Marked point processes RJMCMC graph model digital terrain models coast
2015/9/21
In this paper we propose a new method for the automatic extraction of tidal channels in digital terrain models (DTM) using a sampling approach based on marked point processes. In our model, the tidal ...
Extraction of fluvial networks in lidar data using marked point processes
Marked point processes RJMCMC Lidar Networks Coast
2014/9/9
We propose a method for the automatic extraction of fluvial networks in lidar data with the aim to obtain a connected network represented by the fluvial channels' skeleton. For that purpose we develop...
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...
Information-Theoretic Capacity and Error Exponents of Stationary Point Processes under Random Additive Displacements
Information-Theoretic Capacity Error Exponents of Stationary Point Processes
2011/2/25
This paper studies the Shannon regime for the random displacement of stationary point processes. Let each point of some initial stationary point process in Rn give rise to one daughter point, the loca...
Bounds on the artificial phase transition for perfect simulation of repulsive point processes
Bounds artificial phase transition perfect simulation repulsive point processes
2010/11/16
Repulsive point processes arise in models where competition forces entities to be more spread apart than if placed independently. Simulation of these types of processes can be accomplished using domin...
Numerical methods for optimal insurance demand under marked point processes shocks
Optimal insurance stochastic control duality dynamic programming principle
2010/10/21
This paper deals with numerical solutions of maximizing expected utility from terminal wealth under a non-bankruptcy constraint. The wealth process is subject to shocks produced by a general marked p...
A Note on the Paper $"$Poincaré Inequality on the Path Space of Poisson Point Processes"
Paper $"$Poincaré Inequality ath Space of Poisson Point Processes"
2010/12/1
In the recent paper [2] we proved a Poincar´e inequality on the path space of compound Poisson processes by using transition probabilities and the Markov property. Our purpose
is to develop a g...
Optimal insurance demand under marked point processes shocks: a dynamic programming duality approach
Optimal insurance stochastic control duality optional decomposition
2010/10/21
We study the stochastic control problem of maximizing expected utility from terminal wealth under a non-bankruptcy constraint. The wealth process is subject to shocks produced by a general marked poin...
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 ...