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 72 for “"multivariate models"”.
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Multivariate Models and Algorithms for Systems Biology
… parts. Inthe first part, we present a suite of multivariate approaches for a reliable discovery of geneclusters, often interpreted as pathway components, from molecular profiling data with replicated measurements. We translate our goal into learning an optimal correlation structure from …
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Fractional Integration and Political Modeling
… integrated variables in bivariate and multivariate regressions. Fractional differencing is the most appropriate tool to guard against spurious regressions and other threats to inference. Using fractional differencing, multivariate models of British politics are developed in Chapter IV …
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Three Essays in Econometrics
… comparisons and specification testing for multivariate models, through the lens of model selection procedures in asset pricing. In the first chapter, I provide a model selection procedure for multivariate models, generalizing the model confidence set (MCS) procedure to systems of N>1 …
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Bayesian Computation for Variable Selection and Multivariate Forecasting in Dynamic Models
… techniques for efficient Bayesian computation in multivariate time series analysis. Computational scalability is a core focus of this work, and often rests on the decouple-recouple concept in which multivariate models are decoupled into univariate models for efficient inference, and then recoupled …
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Biotic and abiotic responses to rural development and legacy agriculture by southern Appalachain streams
… to biotic responses through a suite of multivariate models, focusing on sediment dynamics in an attempt to capture the subtle influence of hydrology and sediment dynamics. My dissertation provides future researchers with improved methods for considering land-cover as an independent …
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A stochastic model for daily climate
… modelled on a daily basis. Three stochastic models are considered for the description of daily climate sequences, which can then be used to generate artificial sequences. The climate variables under consideration are rainfall, maximum and minimum temperature, evaporation, sunshine duration, …
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Modeling zero-inflated and overdispersed count data: application to in-hospital mortality data
… will consider the use of several univariate and multivariate models to evaluate the effects of serum chloride as it pertains to patient mortality. This research resulted from application to more than 1700 critically ill patients from a local hospital.
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Variations in Journey-to-Work Time, Distance and Speed Across Metropolitan Areas
… of variance designs. Both univariate and multivariate models are estimated to examine the variations in travel time, distance, and speed for the journey-to-work. The results consist of parameter estimates for each of the univariate models which are used for both hypothesis testing among …
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Autoregressive Neural Network Processes - Univariate, Multivariate and Cointegrated Models with Application to the German Automobile Industry
… is a basic component not only for economic models, but also for many business decisions. Nevertheless it is difficult to produce accurate predictions in times of economic crises, which cause nonlinear effects in the data. In this dissertation a nonlinear model for analysis of time series …
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Mesiodistal Crown Size in Relation to the Risk and Severity of Malocclusion
… across multiple teeth—and this is borne out by multivariate models. Overall, tooth size probably is not commonly the paramount cause of malocclusion, but it is a readily documented influence, and its importance probably is increasing due to secular increases of crown sizes in response to …
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Older Relatives Raising Adolescents: the Relationship Between Age of Caregiver and Youth Delinquent Acts
… Bivariate, baseline logistic regression and multivariate regression models were used to test whether youth in the care of grandparents and other older persons were more likely to commit violent and non-violent delinquent acts than youth raised by their parents.</p> <p>Custodial care of …
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Combination of CT-based Radiomics Features and Clinical Data for Predicting Tumor Genetic Profile in patients with Intrahepatic Cholangiocarcinoma
… features were extracted using LifeX software. Multivariate models were developed to predict common genetic alterations. Results: The study included 90 patients (58 with NGS, 32 with FISH, median age 65). The most common genetic alterations were FGFR2 (20/90), IDH1 (10/58), and KRAS (9/58). …
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Predicting social unrest events in South Africa using LSTM neural networks
… configurations are varied (i.e. univariate and multivariate models). Multivariate LSTM achieved the lowest forecast errors and performance improved as more explanatory features were introduced. The ARIMA model's performance deteriorated with added complexity and the univariate ARIMA produced …
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Confidence Intervals on Cost Estimates When Using a Feature-based Approach
… significantly different. Feature-based models are more transparent than multivariate models because exactly how each parameter affects an estimate can be easily determined. When there is no difference between the two methods than the feature-based method should be used by the analyst.</p>
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Correlates of Depressive Symptoms Among Mothers With Acutely Ill Children Admitted to Hospitals in Low- And Middle-Income Countries
… conducted in R. Using univariate, bivariate, and multivariate interaction models, we estimated hypothesized variables as effect modifiers and also examined their direct effects on PHQ-9 scores in bivariate and multivariate analyses and we investigated the correlates of maternal depressive symptoms …
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Environmental And Stand Variables Influencing Soil CO2 Efflux Across The Managed Range Of Loblolly Pine
… Specific to this study, we sought to create multivariate models of the output of carbon from the soil in the form of soil CO2 efflux (Rs) and a component of that total efflux, heterotrophic respiration index (Rh), from data collected across the managed range of loblolly pine in the …
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Decentralize, Depoliticize, Democratize: An Empirical Political Economy Analysis of Global Cryptocurrency Adoption
… cryptocurrency adoption. The study employs multivariate models with TFE, assessing not only economic variables but also the critical roles of trust in traditional financial institutions, governance quality, and economic inclusion. The inclusion of time dynamics reveals that country-specific …
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Ventriculoperitoneal Shunt Failures At Red Cross War Memorial Children's Hospital
… shunt failure was recorded. Univariate and multivariate models were used to determine causal relationship. Results Four hundred and ninety-four VP shunt operations were performed on 340 patients with 48.8% being index shunts and 51.2% revision shunts. Average patient age was 3.4months. The …
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MAPPING THE DISTRIBUTION AND ABUNDANCE OF WESTERN LARCH (LARIX OCCIDENTALIS NUTT.) WITH MULTI-TEMPORAL SATELLITE IMAGERY AND GRADIENT MODELING
… 46% of the variability in larch basal area. Multivariate models built with NDVIsc and additional climatic and topographic variables only slightly improved the models. These satellite imagery based models suggest that western larch tends to occur primarily on shaded, north-facing slopes within …
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MAPPING THE DISTRIBUTION AND ABUNDANCE OF WESTERN LARCH (LARIX OCCIDENTALIS NUTT.) WITH MULTI-TEMPORAL SATELLITE IMAGERY AND GRADIENT MODELING
… 46% of the variability in larch basal area. Multivariate models built with NDVIsc and additional climatic and topographic variables only slightly improved the models. These satellite imagery based models suggest that western larch tends to occur primarily on shaded, north-facing slopes within …
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