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.
Results
Showing 1 to 20 of 62 for “"joint probability"”.
-
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 …
-
The use of joint probability analysis to predict flood frequency in estuaries and tidal rivers
… Bivariate and trivariate daily and extreme joint exceedance methods are developed and used in conjunction with a one-dimensional hydraulic model to analyse the interaction of river flow, tide and surge to predict the joint probability of potential flood events occurring in Lewes. The …
-
Reliability assessment under incomplete information: an evaluative study
… correlation between the variables when the joint probability density function is unknown. There are no reports that provide information of the accuracy of these methods. This work presents an evaluative study of reliability under incomplete information, comparing three existing methods for …
-
Language identification by statistical analysis.
… statistical analysis determined the independent probability of letters and the joint probability of various letter combinations for large samples of each language. Various methods were tested in an attempt to utilize these characteristics to identify the language of a short sample text. By use of …
-
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.
-
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 …
-
On Semi-supervised Estimation of Distributions
We study the problem of estimating the joint probability mass function (pmf) over two random variables. In particular, the estimation is based on the observation of 𝑚 samples containing both variables and 𝑛 samples missing one fixed variable. We adopt the minimax framework with [notation] loss …
-
A stochastic process model for transient trace data
… random variables X<sub>t</sub> follow different probability distributions. To estimate the parameters for the model a Rate Evolution Graph (REG) is built from the trace data. The REG is a two-dimensional Cartesian graph which plots the number of occurrences of each unique state in the trace on …
-
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 …
-
Die Kapitalstruktur europäischer Emittenten von bedingten Pflichtwandelanleihen im Bankensektor: eine robuste Korrelationsund Portfoliooptimierungsanalyse mit besonderer Berücksichtigung der Wavelet-Analyse und von Bayesschen Netzen
… the historical distribution in normal times, a joint probability distribution will be calculated. This joint probability distribution will be used to estimate the required portfolio parameters. The results are compared to traditional methods, whereby they show that risk-adjusted returns are …
-
A framework for ship stability in a seastate using the state-space Fokker-Planck method
… partial differential equation governing the joint probability density function of the states of the SDE. The formulation for a rectangular barge rolling in beam waves is presented, with the approach readily extendable to six-degree-of-freedom responses. By deriving a state-space stochastic …
-
Statistical Analysis of High-Order Moments from Direct Numerical Simulation of a Turbulent Boundary Layer
… series expansions of the marginals of the joint probability density function of the flow are presented. Reasonable agreement was found for most of the moment interrelations. Flow visualizations using the Q criterion are also presented.
-
Statistical algorithms for Cluster Weighted Models
… (CWM) is a mixture approach to modeling the joint probability of data coming from a heterogeneous population. In this thesis first we investigate statistical properties of CWM from both theoretical and numerical point of view for both Gaussian and Student-t CWM. Then we introduce a novel …
-
Sensor Networks: Studies on the Variance of Estimation, Improving Event/Anomaly Detection, and Sensor Reduction Techniques Using Probabilistic Models
… of the direction of travel using a contextual, joint probability, causal relationship, sliding window, and geospatial intelligence (GEOINT) method.
-
Summarizing data with representative patterns
… minimal set of patterns with sufficiently high probability to represent all other patterns. The bottleneck turns out to be checking whether a pattern can probabilistically represent another, which involves the computation of a joint probability of the supports of two patterns. We propose a novel …
-
The joint distribution of the maximum and duration of stochastic events driven by Pareto II observations
We study the joint distribution of X and N, where N has the geometric distribution and X is the maximum of the N independent and identically distributed Pareto II (Lomax) observations. The bivariate distribution is referred to as the geometric Marshall-Olkin Lomax distribution (GMOL). A related …
-
Modeling of nearshore hydrodynamics for sediment transport calculations
… of incident waves, we examine a number of joint probability distributions of wave heights and periods. These distributions are then used to develop a probabilistic wave-by-wave hydrodynamic description based on Tajima's monochromatic wave model. We derive the model governing equations for …
-
Semi-Parametric Likelihood Functions for Bivariate Survival Data
… 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 distribution, while proposing a linear relationship between them with an unknown (error) random …
-
Distributed Location Estimation of a Moving Target Characterized by a Spatial Poisson Field
… super computer (called here Fusion Center) for a joint processing. To minimize consumption of resources such as power in the network and transmission bandwidth, the measurements are locally preprocessed prior to transmission. Our model assumes two Gaussian channels, observation and transmission. …
-
Eliciting continuous probability distributions
The process of eliciting a representative probability distribution from a judge is fundamental to decision making under uncertainty. This work summarizes several aspects of eliciting continuous probability distributions. Through experimentation involving 103 judges the method of assessing single …
Page 1 of 4