Search Constraints

Start Over
Filtering by: Creator Emerson, Sarah Remove constraint Creator: Emerson, Sarah Resource Type Dissertation Remove constraint Resource Type: Dissertation

Search Results

  • Active Learning from Examples, Queries and Explanations

    Creator:
    Hamidi-Haines, Mandana
    Abstract:
    Humans are remarkably efficient in learning by interacting with other people and observing their behavior. Children learn by watching their parents’ actions and mimic their behavior. When they are not sure about their parents demonstration, they communicate with them, ask questions, and learn from their feedback. On the other hand,...
    Resource Type:
    Dissertation
    Full Text:
    minor advisor Professor Sarah Emerson from the Statistics Department at OSU. The knowledge I gained from

  • Localized Variable Selection with Random Forest

    Creator:
    Niyaghi, Faraz
    Abstract:
    Due to recent advances in computer technology, the cost of collecting and storing data has dropped drastically. This makes it feasible to collect large amounts of information for each data point. This increasing trend in feature dimensionality justifies the need for research on variable selection. Random forest (RF) has demonstrated...
    Resource Type:
    Dissertation
    Full Text:
    _________________________ Sarah C. Emerson Sharmodeep Bhattacharyya Due

  • Estimation and Sparse Selection of Conditional Probability Models for Vector Time Series

    Creator:
    Ruiz, Trevor D.
    Abstract:
    Diverse scientific fields collect multiple time series data to investigate the dynamical behavior of complex systems: atmospheric and climate science, geophysics, neuroscience, epidemiology, ecology, and environmental science. Identifying patterns of mutual dependence among such data generates valuable knowledge that can be applied either for inferential or forecasting purposes. Vector autoregressive...
    Resource Type:
    Dissertation
    Full Text:
    : Sharmodeep Bhattacharyya Sarah C. Emerson Diverse scientific fields collect multiple time series data to

  • Construction of Anomaly Scores and Probabilities using Random Sampling : A New Score, Efficient Computation, and Threshold Selection.

    Creator:
    Zongo, Kalbi F.
    Abstract:
    Anomaly detection is the task of identifying observations (points) that differ from the majority of other points, which requires some measure of difference, or distance. Many anomaly detection methods rely on “implicit distance” measures: rather than directly calculating an explicitly defined distance, these approaches quantify a point’s “abnormality” by examining...
    Resource Type:
    Dissertation
    Full Text:
    Selection Abstract approved: Charlotte Wickham Sarah C. Emerson Anomaly detection is the task of

  • An Evaluation of Design and Inference in Special Topics of Group Sequential Procedures

    Creator:
    Skalland, Timothy Michael
    Abstract:
    Randomized trials are the gold standard for the clinical assessment of a new treatment compared to a placebo or standard of care. Often in clinical trials, patients are accrued sequentially rather than all at once. Thus, the data from such a trial becomes available sequentially to the researcher. Monitoring and...
    Resource Type:
    Dissertation
    Full Text:
    : Sarah C. Emerson Randomized trials are the gold standard for the clinical assessment of a new treat

  • Integrating Resource Planning with Bayesian Optimization

    Creator:
    Dolatnia, Nima
    Abstract:
    Bayesian optimization (BO) aims to optimize costly-to-evaluate functions by running a limited number of experiments that each evaluates the function at a selected input. Typical BO formulations assume that experiments are selected sequentially, or in fixed batches. Moreover, these experiments can be executed immediately upon request and have the same...
    Resource Type:
    Dissertation
    Full Text:
    with Bayesian Optimization Abstract approved: Sarah C. Emerson Alan P. Fern Bayesian optimization

  • Take me out to (analyze) the ballgame : visualization and analysis techniques for big spatial data

    Creator:
    Comiskey, Chris
    Abstract:
    For spatial data visualization, we approach two problems and provide solutions: heat map resolution selection, and heat map confidence interval presentation. Analysts often present spatial data in gridded heat maps, at some chosen resolution. However, many data types vary in density across the domain. We develop variable-resolution heat maps to...
    Resource Type:
    Dissertation

  • Turbine Induced Bird and Bat Fatalities at Wind Projects : Statistical Methods for Mortality Estimation Using Road and Pad Carcass Surveys

    Creator:
    Maurer, Joseph D.
    Abstract:
    Turbines at wind projects pose a threat to birds and bats flying at altitudes within the rotor swept area. These animals die from colliding with the turbine blades. Estimating mortality, or the total number of bird or bat fatalities at a wind project, is critical to understanding environmental impacts of...
    Resource Type:
    Dissertation

  • Model-based Clustering Methods in Exploratory Analysis of RNA-Seq Experiments

    Creator:
    Zhang, Wanli
    Abstract:
    Differential expression (DE) analysis allows us to identify genes that respond differently under varying experimental conditions, therefore granting us an understanding of the molecular basis of phenotypic variation. Following the identification of significantly differentially expressed genes, it is often of the researcher's interest to elucidate hidden patterns or groups in...
    Resource Type:
    Dissertation
    Full Text:
    thanks also go to members of my graduate studies committee: Dr. Sarah Emerson, who provided me with

  • Higher-level Analysis of RNA-Seq Experiment: Multiple Data Sets and Multiple Genes

    Creator:
    Zhuo, Bin
    Abstract:
    Differential expression (DE) analysis is a key task in gene expression study, because it uncovers the association between expression levels of a gene and the covariates of interest. This dissertation pertains to two particular aspects of DE analysis—identifying stably expressed genes for count normalization and accounting for correlation between DE...
    Resource Type:
    Dissertation
    Full Text:
    dissertation. I’m very grateful to my committee members: Dr. Duo Jiang (Statistics), Dr. Sarah Emerson