Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 88 for “"Point Process"”.
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Stochastic Point Process Modeling for Engineering Applications
<p>Hawkes model or self-exciting point process model is a branching point process model. The model classifies the dataset of discrete events to background and offspring events. It has been used to study interconnected events in many fields, but relatively little work exists in applying these …
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Predicting text features of social temporal point process
… of predicting the text feature of temporal point processes. Temporal point process is common in our daily life - for example, the time sequence of multivariate discussions in online forums with features like text and user profile, and the coordinate sequence of human joint position in …
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New marked point process models for microscopy images
… and biomedical engineering. As a result, image processing plays a critical role in this era of science and technology. In materials image analysis, image segmentation and feature detection are considered very important.</p> <p>The first part of this research aims to resolve the segmentation …
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Gaussian loop- and Pólya processes : a point process approach
… considers on the one hand the construction of point processes via conditional intensities, motivated by the partial Integration of the Campbell measure of a point process. Under certain assumptions on the intensity the existence of such a point process is shown. A fundamental example turns out …
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Spatial point process modelling of a biodiverse plant community
… this thesis addresses the suitability of spatial point processes for the modelling of plant communities with the aim of understanding the mechanisms that sustain biodiversity and allow species coexistence through an analysis of a biodiverse plant community in Western …
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Local Likelihood for Interval-censored and Aggregated Point Process Data
… the thesis, we consider local EM to analyze the point process data that are either interval-censored or aggregated into regional counts. We specifically formulate local EM algorithms for density, intensity and risk estimation and implement the algorithms using a piecewise constant function. We …
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Point process based high frequency volatility estimation : theory and applications
… of three main studies with the common theme: point process based high-frequency volatility estimation. The first chapter introduces a new class of high-frequency volatility estimators and examines its asymptotic properties. The second chapter studies the relative importance of market …
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COMBINING MARKOV RANDOM FIELD AND MARKED POINT PROCESS FOR MICROSCOPY IMAGE MODELING
In many microscopy image analysis applications, it is of critical importance to address
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Point Process Modelling of Objects in the Star Formation Complexes of the M33 Galaxy
In this thesis, Gibbs point process (GPP) models are constructed to study the spatial distribution of objects in the star formation complexes of the M33 galaxy. The GPP models circumvent the limitations of the two-point correlation function employed in the current astronomy literature by naturally …
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Parameter estimation for a two-state semi-Markov model of a univariate point process.
… a two-state semi-Markov model for a univariate point process, an automated technique for the estimation of the parameters in the model was researched and discussed. The power spectral density of intervals was estimated by the periodogram and a Kolmogorov-Smirnov test of fit was conducted. The …
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Algorithms and inference for simultaneous-event multivariate point-process, with applications to neural data
The formulation of multivariate point-process (MPP) models based on the Jacod likelihood does not allow for simultaneous occurrence of events at an arbitrarily small time resolution. In this thesis, we introduce two versatile representations of a simultaneous event multivariate point-process …
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Point process models for discharge patterns of single units in the lateral superior olive of the cat
… Superior Olive of the cat are analyzed using point process methods. An intensity description is developed for responses to continuous tone and tone burst stimuli. The statistics of each process are described using the intervals between events in the response. We find that a first order …
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Development and implementation of hardware and software for a minicomputer based programmable interval timer for use in point process analysis of neuronal action potentials
… programmable interval timer (PIT) for use in point process analysis of the neutronal action potentials derived from multiple extracellular electrode arrays is described. The PIT is based on a commercially available LSI package, INS8253 and is interfaced to a Data General (DG) microNova 16-bit …
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Computationally Efficient Specifications of Spatial Point Process Models and Spatio-Temporal Gaussian Models: Combining Remote Sensing Drivers with Geospatial Disease Case Data to Enhance Geographic Epidemiology
… (NNE).</p> <p>In particular, a Log-Gaussian Cox Process (LGCP) specified by the logarithm of a GMRF on a regular lattice is shown to allow for simultaneous estimation of the spatial distribution of ALS risk and its relationship to remotely sensed water quality metrics. This approach improves on …
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Multivariate Extreme Value Theory with an application to climate data in the Western Cape Province
… location. Block maxima, threshold excess and point process approaches are used on the weather data, specifically on rainfall, wind speed and temperature maxima. For the block maxima approach, the data is grouped in n-length blocks and the maxima of each block form the dataset to be modelled. …
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When matches are ideal: Fitting measurement models to adult attachment data
… It is possible, however, that the item response process for these inventories actually follows an ideal-point process in which respondents seek to endorse items that best describe them, leading to non-monotonic relations between item responses and latent traits. This study examined whether the …
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Thinning of point processes-covariance analyses
… dissertation addresses a class of problems in point process theory called 'thinning'. By thinning we mean an operation whereby a point process is split into two point processes by some rule. We obtain the covariance structure between the thinned processes under various thinning rules. We first …
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Point processes in statistical mechanics : a cluster expansion approach
A point process is a mechanism, which realizes randomly locally finite point measures. One of the main results of this thesis is an existence theorem for a new class of point processes with a so called signed Levy pseudo measure L, which is an extension of the class of infinitely divisible point …
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LAWS OF LARGE NUMBERS AND CENTRAL LIMIT THEOREMS FOR RANDOM GEOMETRIC MEASURES. A COMPUTATIONAL APPROACH
… some random measures associated with a segment process, a Voronoi tessellation and a Johnson-Mehl tessellation constructed on an underlying 2-dimensional point process. In the result by Penrose, this point process is supposed to be Poisson non-homogeneous (or Binomial, but we are not going to …
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