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 34 for “"Shannon Entropy"”.
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On equivalence of additive-combinatorial inequalities for Shannon entropy and differential entropy
Entropy inequalities are very important in information theory and they play a crucial role in various communication-theoretic problems, for example, in the study of the degrees of freedom of interference channels. In this thesis, we are concerned with the additive-combinatorial entropy inequalities …
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Investigation of improved methods for assessing convergence of models in MCNP using Shannon entropy
… on-the-fly diagnostics for convergence using Shannon entropy and statistical checks for tally undersampling in order to reduce the burden on the code user, hopfully increasing the use and accuracy of Monte Carlo codes. These methods were tested by simulating the OECD/NEA benchmark #1 problem …
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Identification and Characterization of Ecohydrologic Process Networks
… studied respond in a unified way to the mean Shannon entropy, which is a measure of the mean stochastic variability in the system in a given state. More Shannon entropy causes more information flow and more emergent self-organized feedback behavior in all systems. Two unifying principles, the …
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A STUDY OF PROJECTION PURSUIT METHODS (MULTIVARIATE STATISTICS, DIMENSION REDUCTION, DENSITY ESTIMATION, GRAPHICS, ENTROPY)
… content in a projection by evaluating the Shannon entropy or the Fisher information of the marginal density corresponding to the projection. Because the population density is an unknown the techniques of nonparametric probability density estimation can be employed to estimate the population …
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COGNITION, MODALITY, AND LANGUAGE IN HEALTHY YOUNG ADULTS
… the Measure of Textual Lexical Diversity and Shannon entropy). We attributed the observed differences in these two measures to the fact that, while both serve to measure new or unique information, MTLD indexes additional linguistic information (e.g., semantic, lexical). In contrast, Shannon …
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Optimal entropy estimation on large alphabet: fundamental limits and fast algorithms
Consider the problem of estimating the Shannon entropy of a distribution over k elements from n independent samples. We obtain the minimax mean- square error within universal multiplicative constant factors if n exceeds a constant factor of k/log(k); otherwise there exists no consistent estimator. …
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Positron emission particle tracking applied to solid-liquid mixing in mechanically agitated vessels
… of mathematical and statistical concepts with Shannon entropy being an example, the computational data analysis often involved handling and sequential processing of multidimensional matrices containing several millions of data points. Computational codes were developed for performing Lagrangian …
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Comparison of dispersion metrics for estimating transcriptional noise in single-cell RNA-seq data and applications to cardiomyocyte biology
… index, variance-to-mean ratio, variance, and Shannon entropy to variability in single-cell counts. We found that the variance-to-mean ratio scales approximately linearly with increasing dispersion, and that it is scale-invariant. The Gini index displayed paradoxical behavior, and Shannon …
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The identification of cytotoxic T lymphocyte (CTL) escape in a large, longitudinal subtype C HIV-1 sequence dataset
… escape mutations, we identified sites with high Shannon entropy (>=0.25) and sites evolving under positive selection using HyphyFUBAR. The sites were verified using the HLA association and CTL epitope variants and escape mutations lists, or data generated by Epitope Matcher. Using the Epitope …
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Comparing Distributions: Invariance Principles & Mismatched Guesswork
… similar to but notably distinct from the Shannon entropy. Given a bound on the total variation distance between two finite distributions, we give a bound on the difference in guesswork between those distributions and study the geometrical properties of the problem in the non-asymptotic …
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An entropic approach to the analysis of time series.
… compelling arguments we show that the Diffusion Entropy Analysis (DEA) is the only method of the literature of the Science of Complexity that correctly determines the scaling hidden within a time series reflecting a Complex Process. The time series is thought of as a source of fluctuations, and …
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Evaluating the use of surface source banking to accelerate Monte Carlo transport simulations of far-field particle fluxes
… met. One criterion utilizes multi-dimensional Shannon entropy to indicate the stationarity of the surface source in physical space and energy. The other criterion uses functional expansions to track the stationarity of Legendre coefficients associated with spatially-dependent banked effective …
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Dynamic simulation of particulate and molecular systems
… by its mean value, variance, third moment, and Shannon entropy. Autocorrelation and partial autocorrelation functions of the heat current are used to investigate the correlation between the discrete heat current values with different lags.
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Locally decodable source coding
… of queries in block length, one can achieve Shannon entropy rate. Moreover, we provide achievability bound on the rate of lossy source coding with both constant and scaling number of queries.
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Security of Lightweight Cryptographic Primitives
… Generation and DIEHARD test suites or in using Shannon entropy metrics. In contrast, rather than blindly performing statistical analyses on the outputs of the single-stage RNS PRNG, this thesis provides both white box and black box analyses that facilitate reverse engineering of the underlying …
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Detection of malicious content in JSON structured data using multiple concurrent anomaly detection methods
… Forest ensemble algorithm. Metrics such as Shannon entropy, n-gram analysis, JSON structure similarity, character string length, and JSON attribute values are utilized. A goal of this research was the detection of attacks at a rate at least better than chance expectation. This goal was met …
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Contributions of Structural and Non-structural Genes to the Attenuation of the 17D Vaccine
… of quasispecies population by assessing Shannon entropy of nucleotide diversity and frequency of RNA subpopulation in Specific Aim 1. Specific Aim 2, determines if the genetic determinants in NS protein genes that influence quasispecies, also influence multiplication kinetics. Finally, …
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Similarity-Augmented Prediction Methods for Neural Machine Translation
… uncertainty quantification (UQ), e.g. Shannon entropy. In this thesis, we study a class of methods which measure semantic similarities between elements in the LM output distribution, which we call similarity-augmented prediction methods. The most well-known instance of this is minimum …
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Diagnostics of source distribution and particle population in Monte Carlo source iteration methods
… the geometry into bins. These indicators are the Shannon entropy, Jensen measure, the progressive relative entropy and the posterior relative entropy. The fifth indicator of the source distribution's state was developed as to eliminate the need for the input of a mesh upon the geometry. This …
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CLASSIFICATION OF PATIENTS WITH PAROTID CANCER USING DYNAMIC CONTRAST AND DIFFUSION EXAMINATIONS WITH RADIOMICS AND MACHINE LEARNING TECHNIQUES
… size and balance (as measured through the Shannon Entropy) to enhance the sensitivity score and therefore decrease the false negative rate. Analogous considerations can be done for the positive predictive value for patients in class W, which is slightly below 70% in the NN model compared to …
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