2015 to 2019 M.S. Theses

Alternative Multiple Imputation Inference for Categorical Structural Equation Modeling

Seungwon Chung; MS, 2019

Combined approach for predicting sparse variables such as tips ratio and daily precipitation

Jinshu Li; MS, 2019

Comparisons of Point Processes Earthquake Models

Ruoxuan Jia; MS, 2019

Conditional Divergence Triangle for Joint Training of Generator, Energy-based and Inference Models

Shuai Zhu; MS, 2019

Construction of Flexible Maximin Latin Hypercube Designs Based on Good Lattice Point Sets

Yongkai Zhu; MS, 2019

Designing single guide RNA for CIRSPR-Cas9 base editor by deep learning

Liangke Gou; MS, 2019

Effects of Horizon and Overlapping Data on Linear Regression

Tianyi Xia; MS, 2019

Empirical Network Formation Model with Incomplete Information

Wenyu Zhou; MS, 2019

Face Aging Using Deep Convolutional Generative Adversarial Network with Condition

Yingzhu Liu; MS, 2019

How Did Trump Win "Bigly" in 2016

Ziyi Jiang; MS, 2019

Incomplete Image Filling by Popular Deep Learning Methods

Nan Ji; MS, 2019

Leveraging Label Information in Representation Learning for Multi-label Text Classication

Jiayu Wu; MS, 2019

Machine Learning Methods of Protest Detection

Anton Sobolev; MS, 2019

Measuring the Robustness of the National Basketball Association Home Court Advantage Effect

Wesley Cheng; MS, 2019

Mind the Gap: a Case Study of Demand Prediction and Factors Affecting Waiting Time at Uber NYC and Washington D.C

Tianyu Ye; MS, 2019

Modeling and Estimating Unpredictability with Applications in Political Economy

Feng Yang; MS, 2019

Neural Architecture Search for Biological Sequences

Zijun Zhang; MS, 2019

Prediction of Electronic Component Prices: from Classical Statistical and Machine Learning Models to Deep Neural Networks with Feature Embedding

Yu Zhang; MS, 2019

Search for Evidence of Statistical Thinking: How Secondary Education Teachers Reason with Non-Traditional Data

Terri Anna Johnson; MS, 2019

Social Network Analysis of NBA Players

Biancheng Wang; MS, 2019

Spatial Prediction of Annual Burglaries in Los Angeles: A Poisson Point Process and Kernel Intensity Mixed Modeling Approach

Ryan Christopher Arellano; MS, 2019

Stability-Controlled Quasi-Experiment: Preliminary Report on Applications to Tuberculosis Prevention in Tanzania

David Amichai Wulf; MS, 2019

Sterilization Regret and Union Context among U.S. Females: A Machine Learning Approach

Lei Fang; MS, 2019

Time Series Analysis on AMP-enabled Website Advertisement Revenue

Boyu Zhang; MS, 2019

A Dance with the Langevin Equation

Erik Nijkamp; MS, 2018

A Maximum Likelihood Prediction Model for Building Seismic Response

Mehrdad Shokrabadi; MS, 2018

Application of Generative Adversarial Network on Image Style Transformation and Image Processing

Anshu Wang; MS, 2018

Application of Hidden Markov Models in Financial Time Series: Inspection of the Capital Asset Pricing Model

Minxuan Xu; MS, 2018

Assessing the impact of interventions on retaliatory violent crimes using Hawkes models with covariates

Huanchen Wang; MS, 2018

Automatic sketch to photo translaiton

Zhenli Jiang; MS, 2018

Discovering strong gravitational lensing with deep learning

Ablaikhan Akhazhanov; MS, 2018

Evaluating the Use of Various Distance Metrics for Assessing a Model's Wilfire Prediction Performance

Jeffrey Chao; MS, 2018

Optimal Financial Portfolio Selection

George Derpanopoulos; MS, 2018

Point Process Modeling of Brown Creepers

Laura Kim; MS, 2018

Predicting Exits from Permanent Supportive Housing in Los Angeles

Adam Scherling; MS, 2018

Prediction Model Development of Seismic Building Responses

Han Sun; MS, 2018

Rotten Banks: Predicting Bank Failures After Great Recession through Binary Classification

Maxim Ananyev; MS, 2018

Semi-Supervised Outlier Detection Algorithms

Jason Sopheap Tun; MS, 2018

Spatial Processes and the Relationship between Gentrification and Disparate Policing: An Analysis of New York City and Los Angeles

Ayobami Laniyonu; MS, 2018

Statistical Modeling for Community Recovery after Seismic Events

Hua Kang; MS, 2018

Statistical Models for Cognitive Social Structures

Kanghong Shao; MS, 2018

Validity of the Asset Pricing Models in Applications to the U.S. and Korean Markets

Woong Bae Kim; MS, 2018

Visual Concept for Foreground and Background Objects Using Deep Lab

Seyed Ali Mousavi; MS, 2018

3D Abstract Scene Synthesis

Jingyu Shao; M.S., 2017

A Pilot Study of Predicting Failing Grades Using Data from UCLA's Learning Management System

Elliot Kang; M.S., 2017

An Empirical Study of Capital Asset Pricing Model and Fama-French Three-Factor Model

Soo Woo Choi; M.S., 2017

Application of Neural Network Based Recommendation System

Chufeng Hu; MS, 2017

Clustering Professional Basketball Players by Performance

Riki Patel; M.S., 2017

Comparative Analysis of SEIR and Hawkes Models for the 2014 West Africa Ebola Outbreak

Adam Chaffee; MS, 2017

Complex Network Method for Traffic Modeling and Control

Fiona Yeung; MS, 2017

Cooperative Learning of Deep Generative Models with Application in Sound Synthesis

Ruiqi Zhong; MS, 2017

Covariance Estimation with Markov-Switching Generalized Autoregressive Conditional Heteroskedasticity Models Applications to Portfolio Management

Tristan Gardner Wisner; M.S., 2017

Hard Drive Failure Prediction for Large Scale Storage System

Xiaohong Huang; M.S., 2017

Empirical Study of Capital Asset Pricing Model and Fama-French Three-Factor Model

Soo Woo Choi; MS, 2017

Empirical Study of Locally Updated Large-scale Information Network Embedding (LINE)

Yiwei Xu; MS, 2017

Estimation of the Risk Process Based on Moments of Integrated Volatility Using High-frequency Data

Sibo Yang; MS, 2017

Extending kriging methods to large datasets with applications to California groundwater data

Brice Charles Randolph; MS, 2017

Imbalanced Binary Classification for Detecting Transcription Factor Binding Sites in H1 Human Embryonic Stem Cells

Surui Sun; M.S., 2017

Institutional Trust in Cross-National Research: A Measurement Invariance Approach

Fabrício Mendes Fialho; MS, 2017

Network Determinants of Modern Bilateral Environmental Cooperation

Bronwyn Lewis Friscia; MS, 2017

Parametric estimation of spatial-temporal Hawkes models for the spread of Ebola in West Africa in 2014

Alexandar Joshua Krebs; MS, 2017

Predicting Stock Returns with Firm Characteristics by Machine Learning Techniques

Shihao Gu; MS, 2017

Probability-Based Classifier Combination

Fan Zhang; MS, 2017

Social Network Analysis: Statistical Model, Community Detection and Friend Recommendation

Xiaolu Yu; MS, 2017

Spatial-Temporal Analysis of Corporate Bankruptcies

Rafael Porsani Amaral; MS, 2017

Systematic Identification and Analysis of Cell-state-associated cisregulatory Elements Using Statistical Approaches

Yucheng Yang; M.S., 2017

What Makes Party Systems Different? A Principal Component Analysis of 17 Advanced Democracies 1970-2013

Zsuzsanna Blanka Magyar; MS, 2017

Concave Penalized Estimation of Causal Gaussian Networks with Intervention

Dacheng Zhang; M.S., 2016

Learning from Social Data: Non-exchangeable Priors in the Social Sciences

Marika Danielle Csapo; MS, 2016

Application of Orthogonal Array Composite Design to Study Lipid Accumulation

Xinyue Wang; M.S., 2015

Predicting Music Revenue: A heirarchical linear modeling approach with sensitivity analyses

Alex Whitworth; M.S., 2015

Using Simulation to Evaluate Confidence Interval Construction by Thresholding the Group Lasso

Jia He; Ph.D., 2015