Browsing by Subject "prediction"
Now showing items 1-6 of 6
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A Data-Retaining Framework for Tail Estimation
(2020)Modeling of extreme data often involves thresholding, or retaining only the most extreme observations, in order that the tail may "speak" and not be overwhelmed by the bulk of the data. We describe a transformation-based ... -
Analysis and Error Correction in Structures of Macromolecular Interiors and Interfaces
(2009)As of late 2009, the Protein Data Bank (PDB) has grown to contain over 70,000 models. This recent increase in the amount of structural data allows for more extensive explication of the governing principles of macromolecular ... -
Modeling Time Series and Sequences: Learning Representations and Making Predictions
(2015)The analysis of time series and sequences has been challenging in both statistics and machine learning community, because of their properties including high dimensionality, pattern dynamics, and irregular observations. In ... -
Predictive Models for Point Processes
(2015)Point process data are commonly observed in fields like healthcare and social science. Designing predictive models for such event streams is an under-explored problem, due to often scarce training data. In this thesis, a ... -
Prognostic Modeling of Parkinson's Disease Progression Using Early Longitudinal Patterns of Change.
(Movement disorders : official journal of the Movement Disorder Society, 2021-07-30)<h4>Background</h4>Predicting Parkinson's disease (PD) progression may enable better adaptive and targeted treatment planning.<h4>Objective</h4>Develop a prognostic model using multiple, easily acquired longitudinal measures ... -
The tricarboxylic acid cycle in Shewanella oneidensis is independent of Fur and RyhB control
(2010)Background: It is well established in E. coli and Vibrio cholerae that strains harboring mutations in the ferric uptake regulator gene (fur) are unable to utilize tricarboxylic acid (TCA) compounds, due to the down-regulation ...
