• ismev

  • Referenced in 265 articles [sw11209]
  • order statistics, peaks over thresholds and point processes...
  • spatstat

  • Referenced in 106 articles [sw04429]
  • segregation indices, mark dependence diagnostics etc. Point process models can be fitted to point pattern...
  • ARPACK

  • Referenced in 725 articles [sw04218]
  • point operations. This software is based upon an algorithmic variant of the Arnoldi process called...
  • invGauss

  • Referenced in 85 articles [sw11207]
  • Survival and Event History Analysis. A Process Point of View. Springer, 2008. It is based ... barrier hitting time of a Wiener process, where drift towards the barrier has been randomized...
  • spBayes

  • Referenced in 252 articles [sw10160]
  • region of study. Such point-referenced or geostatistical data are often best analyzed with Bayesian ... Gaussian spatial process models for univariate as well as multivariate point-referenced data. We discuss...
  • Camera Calibration

  • Referenced in 52 articles [sw13537]
  • detection and tracking; motion estimation; and video processing. For 3-D computer vision, the system ... reconstruction, and 3-D point cloud processing. With machine learning based frameworks, you can train ... system design, the system toolbox supports fixed-point arithmetic and C-code generation...
  • CGAL

  • Referenced in 304 articles [sw00118]
  • Voronoi diagrams (for 2D and 3D points, 2D additively weighted Voronoi diagrams, and segment Voronoi ... volume mesh generation, skin surfaces), geometry processing (surface mesh simplification, subdivision and parameterization, as well ... fitting, and distances (smallest enclosing sphere of points or spheres, smallest enclosing ellipsoid of points...
  • INLA

  • Referenced in 14 articles [sw07535]
  • toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA) This ... point pattern data. We consider models that are based on log-Gaussian Cox processes ... comparison and model assessment facilitate the modelling process. The performance of the approach is assessed ... rainforest data set with covariates and a point pattern with multiple marks...
  • evir

  • Referenced in 14 articles [sw10489]
  • peaks over thresholds (univariate and bivariate), point processes, gev/gpd distributions...
  • OSL

  • Referenced in 97 articles [sw09295]
  • This paper discusses the implementation of interior point (barrier) methods for linear programming within ... series computers and “super-scalar” processing on the RISC System/$6000^{TM}$ series...
  • Chronux

  • Referenced in 9 articles [sw22559]
  • employed in the analysis of both point process and continuous data, ranging from preprocessing, exploratory...
  • MRST

  • Referenced in 62 articles [sw06656]
  • representing, processing, and visualizing unstructured grids, with particular emphasis on the corner-point format used...
  • FracSim3D

  • Referenced in 5 articles [sw12621]
  • stochastic rock fracture simulation using marked point processes. Fracture locations can be modelled ... homogeneous, a cluster or a Cox point process; fracture geometries and properties are modelled...
  • GloMIQO

  • Referenced in 55 articles [sw06266]
  • recycle systems, separation systems, data reconciliation, batch processes, crude oil scheduling, and natural gas production ... Computational geometry problems formulated as MIQCQP include: point packing, cutting convex shapes from rectangles, maximizing...
  • CESAR

  • Referenced in 139 articles [sw08510]
  • description of a system of communicating sequential processes with respect to a given ... which can be computed iteratively as fixed points of monotonic predicate transformers. The verification...
  • PtProcess

  • Referenced in 4 articles [sw13995]
  • package PtProcess: Time Dependent Point Process Modelling. Fits and analyses time dependent marked point process...
  • Geoxp

  • Referenced in 6 articles [sw08289]
  • well as spatial econometrics and point processes. Besides elementary plots like boxplots, histograms or simple...
  • ppstat

  • Referenced in 2 articles [sw14597]
  • package ppstat implements methods for point process statistics for multivariate point processes (that is, marked ... point processes) on the line. The package is still under development. Version 0.8 is available ... implements a data structure for storing point process and general stochastic process data. It includes ... implements a framework termed generalized linear point process models where the model is specified...
  • pertsaus2

  • Referenced in 15 articles [sw15442]
  • problem of finding a representation by locating points on a continuum. Approximating dissimilarities ... weighted alternating process that uses permutations and point-wise translations to locate the optimal configuration ... least absolute deviations. The weighted, alternating process is shown to outperform earlier implementations of Simulated...
  • PyHawkes

  • Referenced in 3 articles [sw26587]
  • Python framework for inference in Hawkes processes. PyHawkes implements a variety of Bayesian inference algorithms ... discovering latent network structure given point process observations. Suppose you observe timestamps of Twitter messages ... intuition is formalized by combining excitatory point processes (aka Hawkes processes) with random network models...