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 25 for “"Influence Function"”.
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Tests of an empirical influence function for regional projections
Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of City and Regional Planning, 1961.
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Enhancing Mine Subsidence Prediction and Control Methodologies for Long-Term Landscape Stability
… a computer program based primarily on the influence function method for subsidence prediction. The methodologies include dynamic subsidence prediction, alternative model calibration capability, and enhanced risk-based damage assessment. Also, the influence function method is further …
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Labour market inequality in South Africa: a decomposition of changes in earnings from 2001 to 2011
… uses the 'task' approach alongside a Recentred Influence Function decomposition framework to explore the factors associated with this pattern of change. The findings suggest that routine-biased technical change and minimum wage laws enacted over the decade have important roles to play in the …
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Robust Analysis of M-Estimators of Nonlinear Models
… of the technique to the robustness concept of influence. We derive influence functions for M-estimators of nonlinear models and show that influence of position becomes, more generally, influence of model. The result shows that, for M-estimators, we must bound not only influence of residual but …
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NeuralPALS - learning exposure functions and infection probabilities for contagion spread
… is spreading the disease. As a result, the exact influence function by which disease is transmitted is difficult to understand as well. We present a neural network based method, NeuralPALS, to learn the spreader, exposure, and infection status of individuals in a network. Unlike previously …
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Statistical Methods for Off-Policy Learning
… assumptions—the chapter shows how the efficient influence function can be calculated via the chain rule by using a set of common “building blocks” shared across related decision problems. This approach is based on a discretisation assumption and requires verifying the validity of the conjectured …
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Three essays on earnings and earnings inequality in Hong Kong: 1991-2011
… upper percentiles. By applying the Recentered Influence Function method, I observe that occupational segregation plays an important role in explaining the earnings gap for both the lower and upper percentiles. The difference in educational attainment between Chinese immigrants and natives is …
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Estimation of the linkage matrix in O-GARCH model and GO-GARCH model
… which does not involve optimizing any objective function and was embedded with robust estimation properties. The method can therefore be easily applied to high-dimensional systems without running into computational problems. The estimation is proved to be consistent and the asymptotic …
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Monitoring and prediction of surface movements above underground mines in the eastern U.S. coalfields
… The first prediction method using a profile function, provides a fast and convenient method for prediction of vertical movements above mine panels of uniform geometry. More specifically the hyperbolic tangent function is utilized, as adapted to regional data. The developed model is capable of …
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Robustness of Consistent Loss Functions for Multinomial Outcome Models
… estimation, which uses the logarithmic loss function, is the default method used to estimate latent parameters consistently in multinomial outcome models. However, it is sensitive to even a tiny fraction of corruption in the training data. Alternatively, other loss functions in the family of …
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The use of multi-sensory stimulation to improve functional performance in older people with dementia: a randomised single blind trial
… to explore the efficacy of this intervention on functional performance. This study explores to what extent, if any, MSEs influence function, mood and behaviour of people with moderate / severe dementia compared with a control activity (gardening). In addition, sensory needs were identified using …
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Geometries of word embeddings
… We study these pretrained language models using influence function, which characterizes the influence of different training samples on the prediction result of each test sample. The empirical discoveries suggest an interesting future research direction: designing novel regularizations to penalize …
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Memory Properties Of Transformations Of Linear Processes And Symmetric Gini Correlation
… and correlation (ρg) based on the joint rank function. The proposed correlation ρg is symmetric and is more robust than the Pearson correlation but less robust than the Kendall's τ correlation in terms of influence functions. Furthermore, we establish the relationship between ρg and the linear …
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Mapping the relationship between morphology and function of the shoulder: implications for human evolution and musculoskeletal injury
… in bone morphology alters the mechanical function of the shoulder on a large, interspecific scale (influencing behaviours across species) and on a smaller, intraspecific scale (impacting propensity for injury within humans). In this work, I investigated the relationship between shoulder …
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The Role of Transmembrane Domain Helix-Helix Interactions in the Function of Pentameric Ligand-Gated Ion Channels
… of membrane hydrophobic thickness on nAChR function. Specifically, I tested the hypothesis that thicker membranes, which should promote alignment of M4 parallel to M1/M3 and thus helix-helix interactions, favor a coupled conformation. Although I found that the nAChR is uncoupled in all …
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Next Generation Computer Controlled Optical Surfacing
… to the desired removal and the calibrated tool influence function (TIF), which is the shape of the wear function by the tool. This study investigates four major topics to improve current CCOS processes, and provides new solutions and approaches for the next generation CCOS processes.The first …
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Towards Effective Tools for Debugging Machine Learning Models
… The second debugging tool we introduce uses the influence function of an estimator to help identify training points whose labels have a high effect on an ML model’s disparity metric such as group calibration. Taken together, this thesis makes advances towards better debugging tools for machine …
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Robust Kalman Filters Using Generalized Maximum Likelihood-Type Estimators
… filter framework is proposed that bounds the influence of observation, innovation, and structural outliers in a discrete linear system. This filter is designed to process the observations and predictions together, making it very effective in suppressing multiple outliers. In addition, it …
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Gender and education : a microeconometric analysis of returns to education in Nigeria
… decomposition, which relies on the Re-Centred Influence Function (RIF) regression, the wages of men and women across formal and informal sectors are decomposed to further examine the extent of discrimination at several quantile points along the wage distribution. The findings unveil the role of …
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Brechas salariales de género en el mercado laboral urbano colombiano : efectos del sector económico
Este documento busca entender los efectos de los sectores económicos sobre la diferencia salarial entre hombres y mujeres, con el fin de identificar su rol en la parte explicada y no explicada de la brecha. Para ello, se utilizó la Gran Encuesta Integrada de Hogares de Colombia para el 2017 y una …
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