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Showing 1 to 20 of 150 for “"AIC"”.
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Critical study of AIC model selection techniques
Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2012-01-03T19:52:20Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Tan_MingYangJeremy.pdf: 761560 bytes, checksum: 1ec1ec8cdd591f86a9ba94337abe5c0a (MD5)
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Performance of AIC-Selected Spatial Covariance Structures for fMRI Data
… is difficult. Information criteria, such as AIC are often used to choose among covariance structures. Once the covariance structure is selected, significance tests can be used to determine if a region of interest within the brain is significantly active. Through the use of simulations, this …
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Performance of the Kenward-Project when the Covariance Structure is Selected Using AIC and BIC
… structure. Information criteria, such as AIC and BIC, are often used by statisticians to help with this task. However, these criteria do not always point to the true covariance structure and therefore the wrong covariance structure is sometimes chosen. Once this step is complete, Wald …
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Criteria for evaluating model deficiency for groundwater models and the effects of eliminating deficient models on multi-model analysis using AICC, KIC, AIC, and BIC
… are designed to evaluate how components of AIC, AICc, BIC, and KIC rank models and assign model probabilities, and to demonstrate how removing deficient models improves MMA results. Synthetic models are used to represent true but unknown systems in contrast to experimental models that are …
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The Functional Role of the Anterior Insular Cortex in Cognitive Control
… network, and the anterior insular cortex (AIC) serves as one of its key structures. However, the functional role of the AIC in cognitive control has not been fully understood. A human lesion study was conducted to examine the necessary function of the AIC in cognitive control. A mouse …
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Simulation of an Anti-Collision Algorithm for RFID Systems using a Code Division Multiple Access with Adaptive Interference Cancellation (CDMA/AIC) Approach with Dynamic Processing Gain (Gp)
… with Adaptive Interference Cancellation (CDMA/AIC). The time slots are not used for this anti-collision algorithm; instead, Spread Spectrum (SS) technology and Processing Gain (Gp) were employed. In previous work, the Gp was a fixed value equal to sixty-four (64). In contrast, this research …
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Information theoretic measure of complexity and stock market analysis : using the JSE as a case study
… contrast to Akaike's [1] information criterion (AIC) and other AIC type criteria that are traditionally used for regression analysis, ICOMP takes into account the interdependencies of the parameter estimates. This paper is divided into two parts. In the first part we compare and contrast ICOMP …
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ARTIFICIAL INTELLIGENCE FOR INNOVATION IN NEW DRUGS DISCOVERY
… to wholistically assess the AI capability (AIC) of a firm active in drug discovery. Using human and patents data, we evaluated various dimensions of AIC. Based on the literature, we evaluated structural and human sides of the AIC, augmenting that with three different dimensions: Quantity, …
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Roles of orbitofrontal and insular cortices in processing reward variables
… humans have shown that anterior insular cortex (AIC) is affected by risk in decision situations. However previous studies have not examined neural activity related to risk in AIC. Moreover, damages in OFC have yielded conflicting results, even they showed altered risky choice behavior. In the …
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Evaluating Methods for Optimizing Classification Success From Otolith Tracers for Spotted Seatrout (<i>Cynoscion nebulosus</i>) in the Chesapeake Bay
… Bay. Additionally, Akaike information criterion (AIC) and Bayes information criterion (BIC) were used to select the discriminant function analysis (DFA) model that minimized the prediction error for determining provenance of adult fish. The AIC technique was also used to construct a short-term …
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An assembly model for the autophagy initiation complex
… Atg1 complex or autophagy initiation complex (AIC), which binds high curvature lipid vesicles and is thought to catalyze their fusion to initiate autophagosome biogenesis. In chapters 1-4 of this work, I review what is currently known about different steps of the mechanism of AIC formation, its …
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The role of the catecholaminergic projections to the forebrain in the modulation of autonomic responses to stress
… frontal cortex (MFC), agranular insular cortex (AIC), nucleus accumbens (NAC) and the central nucleus of the amygdala (CeA). Injections of an antagonist of Ý-adrenoceptors into each of these regions reduced the magnitude of the increase in HR induced by tail pinch. Injections of an agonist of …
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Settling-Time Improvements in Positioning Machines Subject to Nonlinear Friction Using Adaptive Impulse Control
… method referred to as Adaptive Impulse Control (AIC) has been developed. To better fit the nonlinear relationship between pulses and displacements, AIC adaptively tunes a set of parameters. Each parameter affects a different range of displacements. Online updates depend on the residual control …
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Selecting the Best Linear Mixed Model Using Predictive Approaches
… and conditional R-squared, PRESS, CCC, F test, AIC and BIC) were high. The study suggested using marginal rather than conditional residuals for PRESS, CCC and R-squared. It suggested using REML likelihood function which has the determinant term for AIC and BIC. For CCC, R-squared, and the …
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Topics In Time Series Analysis And Forecasting
… criteria, Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC), are discussed. In the finite case, the study is limited to the two sample problem. The exact probability of selection is obtained for finite samples. The risk of each criterion is evaluated in the two …
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Ventilation in minibus taxis as a means of airborne infection control
Airborne infection control (AIC) measures are used extensively in healthcare settings to curtail the spread of airborne infectious diseases; these measures include administrative, architectural, engineering (e.g. ventilation) and personal protective interventions, serving either to reduce the …
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A new hybrid model of dengue incidence rate using negative binomial generalised additive model and fuzzy C means model a case study in Selangor
… are deviance (D), Akaike Information Criteria (AIC) and Bayesian Information Criteria (BIC). Lastly, the validation of model developed by comparing the value of D, AIC and BIC between the existing model and the new models developed which used the new datasets. There are two different clustering …
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Characterizing early growth and reproduction of Blueline Tilefish (<i>Caulolatilus microps</i>) to inform stock assessments
… value from previous studies. Evaluation based on AIC and BIC scores of weight-length relationships indicated potential regional differences and sexual dimorphism within both the SEUS and USMA regions. This sexual dimorphism was further supported by von Bertalanffy growth estimates, revealing L_∞ …
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Contributions to the mathematical theory of epidemic dynamics
… using Akaike's Information Criterion (AIC). Model selection results are not consistent between data sets and no universal model emerges. This conclusion raises questions about the rational of invoking popular epidemic models in attempts to explain or predict specific host/parasite …
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Runx2 and Vascular Calcification
… and CKD, and arterial intimal calcification (AIC), characterized by plaque accumulation and occlusive lesions in the vasculature. Runx2 (runt-related transcription factor 2) is a critical regulator of bone development, early chondrocyte proliferation, and hypertrophic chondrocyte formation. …
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