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 16 of 16 for “"Joint probability distribution"”.
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Joint probability distribution of rainfall intensity and duration
… hydraulic structures. The traditional Gumbel probability method entails selecting annual maximum rainfall depths (intensities) conditioned on a fixed time window width (which in general will not coincide with the rainfall event duration) from a continuous record to perform a frequency analysis …
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Learning Models for Multi-Viewpoint Object Detection
… approach uses a generative model that models the joint probability distribution over the locations and visibility of all the object parts. The second approach employs a discriminative Conditional Random Field based model to encode the relative geometry and co-occurrence constraints.
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The statistical mechanics of continuous random networks
… concerning this heterogeneity via a certain joint probability distribution. This joint probability distribution describes the variations in the positional and orientational localization of the particles, reflecting the random environments experienced by them, as well as further information …
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Approximating the Log-Partition Function
… structural information on a high-dimensional joint probability distribution. Their expressiveness offers simple reductions from a large number of NP-hard problems to inference tasks such as computing the partition function (exact inference) or approximating the log-partition function …
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Die Kapitalstruktur europäischer Emittenten von bedingten Pflichtwandelanleihen im Bankensektor: eine robuste Korrelationsund Portfoliooptimierungsanalyse mit besonderer Berücksichtigung der Wavelet-Analyse und von Bayesschen Netzen
… and to deal with non-normality of the return distribution. The estimation procedures based on the Wavelet Analysis will conduct a Multi Resolution Analysis through the Maximum Overlap Discrete Wavelet Transformation. This will enable the calculation of different correlation measures on varying …
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Semi-Parametric Likelihood Functions for Bivariate Survival Data
… characterization of multivariate survival distributions is still a growing area of research. The aim of this thesis is to investigate a joint probability distribution that can be derived for modeling nonnegative related random variables. We restrict the marginals to a specified lifetime …
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An approach to incorporating uncertainty in network security analysis
… Our extension describes each edge probability as a Boolean expression of independent indicator random variables. This thesis (i) shows that this formalism is maximally descriptive in the sense that it can describe any joint probability distribution function of edge existence, (ii) …
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Full Brain Blood-Oxygen-Level-Dependent Signal Parameter Estimation Using Particle Filters
… the model parameters. For this reason the final distribution of parameters is more medically relevant than a single estimate. Because the output of the particle filter is a full posterior probability, the reliance on the mean to estimate parameters is unnecessary. This work presents not just a …
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Inference and decision making in large weakly dependent graphical models
… the ordering of the random variables has on the joint probability distribution of binary random variables, when they are simulated using this proposed Bayes linear method.
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ERNI-3D : a technology-generic tool for interconnect reliability projections in 3D integrated circuits
… 3D bonding, and joule heating. Based on a joint probability distribution, a full-chip reliability model combines all reliability figures from different components to give a useful number for the designers' reference. This initial version of ERNI-3D treats 3D circuits with two wafers or …
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Modeling and analysis of performance of the steering angle sensor development project
… software was modified and applied to obtain a joint probability distribution of cost and schedule for this platform. Third, the model was tracked and validated. The tracking of the model was performed within the same platform by running the software at various times. The validation of the model …
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Optimizing Rough Set Flow Graph Inference
… (DAG) and a corresponding set of conditional probability tables (CPTs). The probabilistic conditional independencies encoded in the DAG indicate that the product of the CPTs is a joint probability distribution. A central step in probabilistic inference is to eliminate variables. More …
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Bayesian Network Inference Using Marginal Trees
… of relationships are quanti ed by conditional probability tables (CPTs). One key feature of BNs is that multiplying all CPTs yields a joint probability distribution (JPD). Moreover, the DAG encodes independencies present in the JPD. Di erent techniques can be employed while reasoning with BNs. …
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New probabilistic approaches for detecting and evaluating concept drift in data streams
… forecasting, and real-time fraud detection, data distributions frequently shift, causing predictive models trained on historical data to underperform. This phenomenon, known as Concept Drift (CD), presents a major challenge in adaptive learning environments, necessitating ongoing monitoring and …
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Elevation based classification of streams and establishment of regime equations for predicting bankfull channel geometry
… values of dimensionless variables. Performing joint probability distributions on each of these zones, trends in the behavior of channel variables while moving from lowland to upland were observed. For the completion of second objective, 405 data points out of initial 873 points were selected …
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Value-informed space systems design and acquisition
… nested Monte Carlo modeling and simulation. Probability models of stakeholders' beliefs, and economic models of pay-offs are developed and integrated with a spacecraft payload generation tool. The case study investigates the information value generated by each payload, with results pointing …