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    Predicting the Next Big Impact: Modelling the Rate of Massive Meteorite Strikes 

    Woods, Ethan; Han, David (The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 7, 2020-12)
    Meteorites are solid pieces of debris from an astronomical object such as a comet, asteroid, or meteoroid that originates in outer space and survives its passage through the atmosphere to reach the surface of a planet. ...
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    Quantum Computation, Quantum Algorithms and Implications on Data Science 

    Kim, Nathan; Garcia, Jeremy; Han, David (The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 7, 2020-12)
    Quantum computing is a new revolutionary computing paradigm, first theorized in 1981. It is based on quantum physics and quantum mechanics, which are fundamentally stochastic in nature with inherent randomness and uncertainty. ...
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    Optimal Dynamic Treatment Regime by Reinforcement Learning in Clinical Medicine 

    Song, Mina; Han, David (The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 7, 2020-12)
    Precision medicine allows personalized treatment regime for patients with distinct clinical history and characteristics. Dynamic treatment regime implements a reinforcement learning algorithm to produce the optimal ...
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    Statistical Perspectives in Teaching Deep Learning from Fundamentals to Applications 

    Kim, Nathan; Han, David (The UTSA Journal of Undergraduate Research and Scholarly Work;, 2020-12)
    The use of Artificial Intelligence, machine learning and deep learning have gained a lot of attention and become increasingly popular in many areas of application. Historically machine learning and theory had strong ...
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    Stochastic SIR-based Examination of the Policy Effects on the COVID-19 Spread in the U.S. States 

    Song, Mina; Belle, Macy K.; Medlovitz, Aaron; Han, David (The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 7, 2020-12)
    Since the global outbreak of the novel COVID-19, many research groups have studied the epidemiology of the virus for short-term forecasts and to formulate the effective disease containment and mitigation strategies. The ...
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    Performance of Machine Learning Algorithms for Heart Disease Prediction: Logistic Regressions Regularized by Elastic Net, SVM, Random Forests, and Neural Networks 

    Ikpea, Obehi Winnifred; Han, David (The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 8, 2022-12)
    Heart disease, a medical condition caused by plaque buildup in the walls of the arteries, is the leading cause of death in the U.S. and worldwide. About 697,000 people suffer from this condition in the U.S. alone. This ...
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    An expectation-maximization algorithm for estimating the parameters of the correlated binomial distribution 

    Bennett, Andrea; Wang, Min (The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 8, 2022-12)
    The correlated binomial (CB) distribution was proposed by Luceño (Computational Statistics & Data Analysis 20, 1995, 511–520) as an alternative to the binomial distribution for the analysis of the data in the presence of ...
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    Policy-Guided Susceptible-Infected-Recovered Modeling of the COVID-19 Spread in Texas 

    Woods, Ethan; Han, David (The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 8, 2022-12)
    The goal of this research was to create an SIR model for the Texas COVID-19 cases based on the state data from March of 2020 through October of 2020, and to investigate the impact of public policies on the transmission of ...
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    Can We Predict Big 5 Personality Traits from Demographic Characteristics? 

    Woods, Ethan; Han, David (The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 8, 2022-12)
    Here we aim to predict the Big Five personality traits based on the demographic information using a generalized linear model. Data was obtained from openpsychometrics.org, pre-processed in MS Excel, and imported to R for ...
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    Meta-analysis of Odds Ratios from Heterogeneous Clinical Studies 

    Song, Mina; Belle, Macy; Han, David (The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 8, 2022-12)
    Many systematic reviews of randomized clinical trials require meta-analyses of odds ratios. A conventional method estimates the overall odds ratios via weighted averages of the logarithm of individual odds ratios. However, ...

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    AuthorHan, David (9)Song, Mina (3)Woods, Ethan (3)Kim, Nathan (2)Belle, Macy (1)Belle, Macy K. (1)Bennett, Andrea (1)Garcia, Jeremy (1)Ikpea, Obehi Winnifred (1)Medlovitz, Aaron (1)... View MoreDepartment
    Management Science and Statistics (10)
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    undergraduate student works (10)
    Artificial Intelligence (2)COVID-19 (2)logistic regression (2)machine learning (2)maximum likelihood estimation (2)mitigation strategies (2)artificial neural networks (1)Bayesian inference (1)Big 5 personality traits (1)... View MoreDate Issued2020 (5)2022 (5)Has File(s)Yes (10)

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