Theses

Exploring the Use of Experimental Design Techniques for Hyperparameter Optimization in Convolutional Neural Networks

Ashley Chiu; MS, 2021

A Geostatistical Analysis of Electric Charging Infrastructure in the United States

Joy Chen; MAS, 2023

Accounting for Omitted Variable Bias in Hierarchical Linear Models with Group-Varying Treatment Assignment Processes

Thomas Abram Jacobson; MS, 2023

Active Learning for Object Detection on Website Pages

Anders Seth Ward; MAS, 2023

Applications of Large Language Models in Education : Literature Review and Case Study

John DuChateau Baierl; MS, 2023

Balance Tests as a Learning Problem: Assessing 3,000 Lotteries with Machine Learning

Fernando Barros de Mello; MS, 2023

Balance Tests as a Learning Problem: Assessing 3,000 Lotteries with Machine Learning

Fernando Barros de Mello; MS, 2023

Building an Options Portfolio with Deep Learning

Dylan Kinach Jorling; MAS, 2023

Causal Inference and Large Language Models from the Causal Invariance Framework

Emily Frances Wong; MS, 2023

Credit Card Fraud Detection Using Logistic Regression and Machine Learning Algorithms

Haoyi Cheng; MAS, 2023

Dynamic Matching Market with Agent-Dependent Compatible Probabilities

Lan Tao; MS, 2023

Estimating Privacy Leakage of Machine Learning Models

Ryan O'Dell; MS, 2023

Estimation of Wildfire Ignition Conditional Intensity Parameters Via the Stoyan-Grabarnik Statistic

Abigaill Bernice Coelho; MS, 2023

Evaluating the impact of Proposition 47 on property crimes in Los Angeles using causal inference methods

Bryan Ding; MAS, 2023

Factors that contribute to student applicants achieving and maintaining active status through the first academic year: a case study

Christopher Thomas Bowne; MAS, 2023

Hyperparameter Optimization for Machine Learning Algorithms with Application to the MNIST and CIFAR-10 Datasets

Duoduo Ying; MAS, 2023

Imagined We: Understanding and Bridging the Gap Between Human Cooperation and Multi-agent Reinforcement Learning

Minglu Zhao; MS, 2023

Predicting Who Will Cover the Spread in NFL Games

Ajay Rakesh Patel; MAS, 2023

Privacy Auditing of Tabular Synthetic Data Generators Using Membership Inference Attacks

Nicklaus Kim; MS, 2023

Relative Distributions and Their Connection to Optimal Transport

Hector Escandon Vanegas; MS, 2023

Revisiting Prediction of Credit Card Chargebacks in the Live Events Ticket Industry Using an Updated Tidymodels Framework

Angel Sierra; MAS, 2023

Social Network Analysis of the 2022-2023 Spurs

Pedro Eduardo De La Cueva; MS, 2023

Supervised Classification of Political Text with Topic Models

Derek Edward Holliday; MS, 2023

Survival Analysis on United Network for Organ Sharing(UNOS) Kidney Transplant Program

Seungyeon Lee; MAS, 2023

The Impact of Synthetic and Real Training Data on Model Vulnerability

Jacob Michael Swoveland; MS, 2023

The Relative Density and Applications to Bayesian Analysis

Haibo Fan; MS, 2023

Amortized Inference in Latent Space Energy-Based Prior Model

Xufan Zhai; MS, 2022

An Application of Machine Learning Methods on Classifying Disaster Tweets

Tianshu Fan; MAS, 2022

An Awareness Model for a Two-sided Matching Market

Xinyuan Zhang; MS, 2022

An evaluation of electric vehicle charging stations with respect to functional consumer demand

Francisco Avalos; MAS, 2022

An improvement on E-Commerce Search Engine for Automotive Parts Industry Using Siamese Neural Network with Triplet Loss and Contrastive Loss by Training Catalog Item Embeddings

Tyler Gyeongsu Chun; MAS, 2022

Applications of Generative Modeling for Recommender Systems

Ryan H Cheong; MS, 2022

Capturing hidden covariates with linear factor models and other statistical methods in differential gene expression and expression quantitative trait locus studies

Heather J Zhou; MS, 2022

Comparing the Distributions of Home Rental Prices in Los Angeles County between Craigslist and the American Community Survey

Moody Billah; MAS, 2022

Efficient Learning of Continuous-Time Hidden Markov Models with Discrete-Time Irregular Observations for Healthcare Intervention Planning

Saeed Ghodsi; MS, 2022

Equivalence of Kernel Methods and Linear Models in High Dimensions

Mojtaba Sahraee Ardakan; MS, 2022

Evaluating One-day Earthquake Forecast Models Using Numerical Tests and Residual Analysis Methods

Zhe Zhang; MS, 2022

Evaluating the effectiveness of ground motion intensity measures for structural response simulation using statistical and causal inferencing

Henry Burton; MS, 2022

Experimenting with Online Advertisements Using Full Factorial Design

Michelle Nhu-y Trinh; MAS, 2022

Game Theoretical Solutions in Blackjack and Chess via a Markov Decision Process Algorithmic Analysis

Livingston Arthur Albritten; MAS, 2022

Incorporation of Potential Sentiment Analysis Variable from Social Media in Stock Price Prediction

Yu Miao; MAS, 2022

Planned Missing Designs and Diagnostic Classification Models

Yon Soo Suh; MS, 2022

Predicting the Log Returns of Illumina, Inc. Stock

Shelly Chopra; MAS, 2022

Sentiment Analysis of the Undergraduate STEM Community at UCLA Using the Bruinwalk Course Reviews

Kaixin Wang; MS, 2022

The Effectiveness of Copulas for Modeling Compound Climate Extreme Events in Boulder County, Colorado

Surabhi Agrawal; MS, 2022

The Racial Frontier: Biracials, Machine Learning, and the Future of Racial Group Boundaries

Gregory John Leslie; MS, 2022

A Commentary on the Robustness of the Willingness of US Adults to Receive a COVID-19 Vaccine Based on Republican Party Identification

Brandon Fu Thoma; MS, 2021

An Analysis of Community Detection Methods in Multi-layer Networks

Jiaming Guo; MS, 2021

An Application of Customized GPT-2 Text Generator for Modern Content Creators

Jingwu Fang; MAS, 2021

An Application of a Structured Mixture Rasch Model to Computer Adaptive Data: An Example in Early Kindergarten Geometry

Meredith Langi; MS, 2021

An application of sentiment analysis with transformer models on online news articles covering the Covid-19 pandemic

Prakul Asthana; MAS, 2021

Evaluating the relationship between health plan characteristics and CMS quality scores

Joon Won Suh; MAS, 2021

Evaluation of day-trading algorithms

Yasuhiro Yamaba; MAS, 2021

Graph-based Recommender System using Reinforcement Learning

Diana L Zhang; MS, 2021

Image-based Attribute Association in Market Research Surveys

Garrett Blake Hoffman; MAS, 2021

Learning Energy-Based Prior Model for Unsupervised Meta-Learning

Deqian Kong; MS, 2021

Learning Grid Cells and Remapping in Curved Space: A Gauge Theoretic Perspective

Anthony Lutz; MAS, 2021

Learning convolutional latent space energy-based prior model

Dehong Xu; MS, 2021

Mapping AirBnB in Los Angeles

Max Harris Belasco; MAS, 2021

Modern Applications of Cross-classified Multilevel Models (CCMMs) in Social and Behavioral Research: Illustrations with R Package PLmixed

Sijia Huang; MS, 2021

Money For Nothing? Opportunity Zones and Causal Inference

Ryan A Kupyn; MAS, 2021

Multitype Point Process Analysis of Signaling Proteins in the Signaling Complexes of T cells

Juan Piao; MS, 2021

Non-asymptotic Analysis of Learning Long-range Autoregressive Generalized Linear Models for Discrete High-dimensional Data

Parthe Pandit; MS, 2021

Paying Attention to Product Reviews: Sentiment Analysis with Additive, Multiplicative, and Local Attention Mechanisms

Greg Eastman; MAS, 2021

Predicting In-Hospital Mortality from Intensive Care Admissions Records with Recurrent Neural Networks

Asa Wilks; MAS, 2021

Prediction of Pima Indians Diabetes with Machine Learning Algorithms

Ruodi Huang; MAS, 2021

Sentiment classification Using different machine learning algorithms and different word vectorizer

Shuyang Cui; MAS, 2021

State Law and Illegal Immigrants: A Study of Confounding of the Effects ofArizona SB 1070 Policy

Andrew Chang; MS, 2021

Statistical Analysis of The 2016 and 2017 NCAA Division-I Swimming Championships

Sarah Louise Kaunitz; MAS, 2021

Statistical Methods to Predict Earthquake Damage to Buildings

Henan Mao; MS, 2021

Suicide and Copycat Behavior: An Analysis with Hawkes Process of England and Wales Suicide Data

Sixuan Li; MS, 2021

Unsupervised Classification and Network Analysis of the Reddit Communities with Spiking Neural Network and Exponential-Family Random Graph Model

Jie He; MS, 2021

Vox Populism: Analysis of the Anti-Elite Content of Presidential Candidates’ Speeches

Caleb Ziolkowski; MS, 2021

What Did 60,000 People Write in Their Dating App Essays? Text Analyses Using Various Techniques

Grace Yang; MAS, 2021

A Correlation Thresholding Algorithm for Learning Factor Analysis Models

Dale Kim; MS, 2020

Analysis of Biomarkers of Symptoms in Patients with Schizophrenia

Haorui Zhang; MAS, 2020

Application of Machine Learning Algorithms in Predicting Social-Planning Platform Donations

Daehyun Kim; MAS, 2020

Application of Statistical Models to Study Protein Stability in Subcellular Compartments

Shaohua Xiao; MAS, 2020

Auto Insurance Tenure Prediction and Analysis

Yi Chen; MAS, 2020

Beating the Book: A Machine Learning Approach to Identifying an Edge in NBA Betting Markets

Guy Dotan; MAS, 2020

Bitcoin Price Forecast Using LSTM and GRU Recurrent networks, and Hidden Markov Model

Yike Xu; MS, 2020

California Rental Price Prediction Using Machine Learning Algorithms

Yue Fei; MS, 2020

Comparative Analysis of the SEIR and Point Process Models for Invasive Streptococcus Pneumoniae in Florida

Janella Shu; MAS, 2020

Comparison of different hierarchical Dirichlet process implementations

Peichen Wu; MS, 2020

Computer Vision to Analyze Protests in Social Media

Alexandar Chan; MS, 2020

Detecting Coronavirus Disease 2019 Pneumonia in Chest X-Ray Images Using Deep Learning

Ziqi Zhu; MS, 2020

Empirical Study on the Effect of Zero-Padding in Text Classification with CNN

Henry Cheng; MAS, 2020

Estimating Mean and Covariance Structure with Reweighted Least Squares

Bang Quan Zheng; MS, 2020

Evaluating the Short-Term Impact of Gang Prevention Services on a Sample of Los Angeles Youth using Local Randomization Regression Discontinuity Design

Georgina Garcia-Obledo; MS, 2020

Geo-spatial Learning and Modeling for Seismic Site Responses in Los Angeles County

Pengfei Wang; MS,2020

Heart Disease Prediction Using Machine Learning Algorithms

Shu Jiang; MAS, 2020

Housing Analysis and Prediction in Melbourne Australia

Zihao Huang; MAS, 2020

Housing Sale Price Prediction Using Machine Learning Algorithms

Yichen Zhou; MAS, 2020

Interpreting Nonlinear Black-box Models Globally: A Comparative Study of Different Techniques

Yingqi Li; MS, 2020

Measuring International Relations using Latent Network Approach

Natalia Lamberova; MS, 2020

Methods of Simulating Networks from Exponential Random Graph Models

Suoyi Yang; MS, 2020

NLP Analysis and Recommendation System for Yelp

Jiancong Sun; MAS, 2020

Neyman-Pearson Classification for Credit Card Fraud Detection

Lu Xu; MS, 2020

Predicting Film Ratings using Collaborative Filtering and Deep Learning

Annie Jiali Zhang; MS, 2020

Predicting Musical Genres using Deep Learning and Ensembling

Andrew Minkyu Sang; MAS, 2020

Predicting and Characterizing Early Growth of YouTube Videos

Ritvik Kharkar; MS, 2020

Protecting Against False Inferences: A Comparison Between Stability Controlled Quasi-Experiment and Difference-in-Differences Approaches

Colleen Pinkelman; MAS, 2020

SMOTE Variants for Imbalanced Binary Classification: Heart Disease Prediction

Xiaoru Zheng; MS, 2020

Sampling and Learning of the And-Or Graph

Ruize Zhang; MS, 2020

Seismic Response Prediction of Instrumented Pre-1971 Highway Bridges in California

Dong Wang; MS, 2020

Statistical Analysis on Robotic Assisted Minimally Invasive Two Stage Anastomosis with Fistula Repair and a Diverting Loop Ileostomy​ Treatment of Diverticulitis

Sophie Lellis-Petrie; MAS, 2020

Stock Price Prediction using Adaptive Time Series Forecasting and Machine Learning Algorithms

Lumeng Chen; MAS, 2020

Usage of Electronic Health Record Phenotyping in American Adult Patients with Schizophrenia to Improve Detection of Type II Diabetes Mellitus

Austin Haynesworth; MAS, 2020

Using Recurrent and Mixture Density Network Architectures to Model National Basketball Association In-Game Win Probabilities

Henry Poole; MAS, 2020

Alternative Multiple Imputation Inference for Categorical Structural Equation Modeling

Seungwon Chung; MS, 2019

An Application of Natural Language Processing: Named Entity Recognition with BLSTM in Chinese Corpora

Lihui Mao; MAS, 2019

Analysis and Modeling for Ganoderma Data

Zheqi Wu; MS, 2019

Analysis of Point Process and SEIR Models for the Spread of Mumps in Pennsylvania

Yueyan Gao; MAS, 2019

Application of Experimental Design and Analysis in a Social Network Mobile App

Muxin Shang; MAS, 2019

Application of Machine Learning Algorithms in Predicting Credit Card Default Payment

Liyu Gui; MAS, 2019

Beer Production and Beer Judge in United States

Yi Hu; MAS, 2019

Building a Deeper Understanding of Voter Turnout Behavior in Los Angeles County in Preparation for the 2020 Election

Paul Beeman; MAS, 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

Improving Automated Time Series Forecasting with the use of Model Ensembles

Christopher Thomas Meade; MAS, 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

Loan Repayment Prediction Using Machine Learning Algorithms

Chang Han; MAS, 2019

Machine Learning Methods of Protest Detection

Anton Sobolev; MS, 2019

Measurement and Evaluation of Professional League of Legends Teams for Optimal Strategy

Victor Wong; MAS, 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

Modeling the Transmission Dynamics of Pertussis Using Recursive Point Process and SEIR model

Ah Sung Yang; MAS, 2019

Neural Architecture Search for Biological Sequences

Zijun Zhang; MS, 2019

Point Process Models for the spread of Coccidioidomycosis, an infectious disease, in California

Jiajia Wang; MAS, 2019

Prediction of Credit Card Chargebacks in the Live Events Ticketing Industry Using Machine Learning Algorithms

Kjell Sawyer;

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

Yu Zhang; MS, 2019

Predictive Modelling for Loan Defaults

Leon Zhu; MAS, 2019

Rare Event Prediction with Mortgage Lead Data

Kaleb Julian Erickson; MAS, 2019

Scaling Down: Efficient Inference for Convolutional Neural Networks

Jason Shiego Osajima; MAS, 2019

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

Terri Anna Johnson; MS, 2019

Semi-Greedy Construction of Oblique-Split Decision Trees

Matthew Rudolph Larriva; MAS, 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

Statistical Analysis of Wildfire Count and Size Distributions

Yu Huang; MAS, 2019

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

Lei Fang; MS, 2019

The Secret of Love in Speed Dating

Yunfan Shi; MAS, 2019

Time Series Analysis on AMP-enabled Website Advertisement Revenue

Boyu Zhang; MS, 2019

Two deep learning classifiers for human expression with emoji replacement

Jingyi Fang; MAS, 2019

Understanding Within-Season Changes in Major League Baseball Attendance

Tanner Michael Koscinski; MAS, 2019

Using Demographic and Geographic Traits to help ensure Fairness in Electoral Redistricting

Cole Sanders; MAS, 2019

Yelp Review Rating Prediction: Sentiment Analysis and the Neighborhood-Based Recommender

Rui Qiao; MAS, 2019

A Dance with the Langevin Equation

Erik Nijkamp; MS, 2018

A Maximum Likelihood Prediction Model for Building Seismic Response

Mehrdad Shokrabadi; MS, 2018

An Application of Recurrent Neural Network:Prediction of Items’ Price by Description

Beichen Su; MAS, 2018

Analysis of Existing Severity Scores and Development of New Models for Hospital Mortality Prediction

Lucy Marie Baden; MAS, 2018

Analysis of Large-Scale Genetic Perturbation with Linear Regression of Microarray and Bayesian Networks

Ruifu Jiang; MAS, 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

Application of Recurrent Neural Networks In Toxic Comment Classification

Siyuan Li; MAS, 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

California Wildfire Spread Prediction using FARSITE and the Comparison with the Actual Wildfire Maps using Statistical Methods

Yujia Hao; MAS, 2018

Classification with Hash Collision Networks

Christian Siyao Gao; MAS, 2018

Click Prediction with Machine Learning Tools

Fan Ding; MAS, 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

Forecasting and Improving the Call Center Operations - Time Series approach and Queueing theory approach

Jixuan Li; MAS, 2018

Forecasting the Time Series of Apple Inc.’s Stock Price

Jordan Berninger; MAS, 2018

How to Identify Who Is the Chief Executive Officer in the Unconstructed Financial Reports - Use the Proxy Statements from Tesla as an Example

Yuan-Yi Chen; MAS, 2018

Imbalanced Binary Classification On Hospital Readmission Data With Missing Values

Hui Zhang; MAS, 2018

Optimal Financial Portfolio Selection

George Derpanopoulos; MS, 2018

Point Process Modeling of Brown Creepers

Laura Kim; MS, 2018

Prediction Model Development of Seismic Building Responses

Han Sun; MS, 2018

Prediction of Manufacturing Data using several machine learning approaches

Luxi Li; MAS, 2018

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

Maxim Ananyev; 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

Stock Trend Prediction: Based on Machine Learning Methods

Yuan Song; MAS, 2018

The Use of Statistical Evidence in Litigation: A Historical Look at the Use of P-Values, Issues, and Considerations.

Jeremy John Guinta; MAS, 2018

Trees vs Neurons: Comparison between Denoising Autoencoders and Random Forest for Imputation of Mixed Data from Electronic Medical Records

Qin Peng; MAS, 2018

Understanding the Market Value and Utility of High-Variance Starting Pitchers

James Francis Lepore; MAS, 2018

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

Woong Bae Kim; 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

A Comparison of Estimators for Respondent-Driven Sampling

Margaret Meek Lange; M.S., 2014

Are Personality Types Distinct?

Jonathan Arfa; M.S., 2014

Significance-based Significance Test for Lasso-Type Problems

Wenjia Wang; M.S., 2014

A Multilevel Longitudinal Analysis of Teaching Effectiveness Across Five Years

Kairong Wang; M.S., 2013

Bayesian Inference on Allele Group Structure for High Order Interactions in Genome-Wide Association Studies

Albert Wong; M.S., 2013

Crime and Demographics: An Analysis of LAPD Crime Data

Bianca Cung; M.S., 2013

Empirical Estimation of Fault Directionality for Improved Non-parametric Estimation of Branching Models for Earthquake Occurrences

Joshua Seth Gordon; M.S., 2013

Methods for Spatial Analysis on a Network

Victor Ying; M.S., 2013

Modeling Multiple Drugs on Lung Cancer and Normal Cells using Regression

Michelle Chen; M.S., 2013

Portfolio Resampling on Various Financial Models

Yu-Ching Chen; M.S., 2013

Survey of some recent advances in spatial-temporal point processes

Benjamin M Greenspan; M.S., 2013

A Study of Crimes Near Marijuana Dispensaries Through a Slew of Modern Statistical Approaches

Michael Tzen; M.S., 2012

A Visualization and Analysis of Categorical Data Using R and SOCR

Tracy Tam; M.S., 2012

Analysis on Falls Death Crude Rate in Western Region of United States

Lung Fai Ng; M.S., 2012

Comparison of Analysis Methods for Non-Regular Fractional Factorial Designs

Shek Yiu Wong; M.S., 2012

Exponential Family Random Network Models

Ian Fellows; M.S., 2012

Occupy Oakland Movement: A Logistic Modeling Approach To The Analysis Of A Social Movement

Ronald Alexander Martinez; M.S., 2012

Revisiting Macroeconomic Factors and Share Returns: A Principle Component Analysis Using Emerging Market Data

Patrick Baghdasarian; M.S. 2012

Statistical Approach to Stock Market Overreaction and Seasonality

Yuyan Hu; M.S., 2012

Statistical Directions for the Analysis of Participatory Mobile Health Asthma Management Data

Kyle Andrew Hasenstab; M.S., 2012

Variable Selection Using Stepwise Regression with Application to MyTherapistMatch.com

Francesco Macchia; M.S., 2012

Analysis of KidzMath Program Effectiveness via Longitudinal Modeling

Victor Louie; M.S., 2011

Interest Rate Scenario Reduction Algorithms

Ran Hao; M.S., 2011

Large Scale Variational Bayesian Inference with Applications to Image Deblurring

Brian Jonathan Verbaken; M.S., 2011

Los Angeles Police Department Crime Analysis

Li Huang; M.S., 2011

Mixture Model for the Length of Sessions of World Wide Web Users

Yuxin Liu; M.S., 2011

Multivariate Methods Analysis of Crime Data in Los Angeles Communities

Yan Fing; M.S., 2011

Utilizing the Polar Cap Index to Explore Strong Driving of Polar Cap Dynamics with Statistical Modeling and Data Analysis

Ye Gao; M.S., 2011

A Bi-Stage Modeling Solution to Cloud Detection in the Arctic Region

Ran Guo; M.S., 2010

Detecting Clustering Patterns in ChIP-seq Data by Ripley’s K-Functions

Jung In Kim; M.S., 2010

Least Squares Method for Factor Analysis

Jia Chen; M.S., 2010

Modeling Natural Images Using Deep Belief Networks and Factored 3-Way Restricted Boltzmann Machine

Xiaoyang Yang; M.S., 2010

Sequential Decision Learning Models with Balloon Analogy Risk Task

Lin Nie; M.S., 2010

Singular Spectrum Analysis of Categorical Time Series Data

Charles Ronen Blum; M.S., 2010

A Comparison of Two SSA Approaches

Jean Qian Wang; M.S., 2009

A Spatial Statistical Analysis of Oilfields in the Southern States of the USA

Shang Gao; M.S., 2009

Analysis of Interstate Highway 5 Hourly Traffic via Functional Linear Models

Napat Buddhangkuranont; M.S., 2009

Comparison of an Active Basis Model and an Adaboost Model in Image Representation

Hui Tang; M.S., 2009

Meta-Analysis: Evaluation of Methodology with an Example in Nutritional Epidemiology

Matthew Ryan Kugizaki; M.S., 2009

Portfolio Selection and Risk Management: An Introduction, Empirical Demonstration and R-Application for Stock Portfolios

Angela Hei-Yan Leung; M.S., 2009

Review of Classification

Rui Liu; M.S., 2009

Singular Spectrum Analysis

Nokang Myung; M.S., 2009

Statistical Learning Methods for TF-DNA Binding Prediction

Paul Jinwook Lee; M.S., 2009

A Quantitative Study of Nucleosome Free Regions in Yeast by Segmental Semi-Markov Model Using Tiling Microarrays

Wei Xie; M.S., 2008

A Time Series Analysis of the Pacific Decadal Oscillation

Nicholas S. Nairn-Birch; M.S., 2008

B-spline Based Functional F Test For Functional Linear Models

Yan Chen; M.S., 2008

Correspondence Analysis of Elevator Malfunction Matrices

Ting Zhou; M.S., 2008

German Student Education Transitions: Factors That Influence Choice of Educational Paths

Courtney Eve Engel; M.S., 2008

Impact of Weather Covariates on Wildfire in Tanjung Puting National Park

Esa A. Eslami; M.S., 2008

Model Application to Air Pollution Data of SCCX

Kuei-yu Chien; M.S., 2008

Statistical Analysis of Gasoline and Diesel Loss Rates at Retailers

Xiaofei Yan; M.S., 2008

Time Series Analysis of Air Pollution CO in California South Coast Area, with Seasonal ARIMA model and VAR model

Xiao Han Cai; M.S., 2008

Time Series Analysis of Particulate Matter 2.5 in the San Joaquin Valley

Judy Yang Hee Kong; M.S., 2008

Using AdaBoost to Implement Chinese Chess Evaluation Functions

Chuanqi Li; M.S., 2008

Analysis of Average Annual Traffic Count on the Interstate 5 Project

Angela Chang; M.S., 2007

Geographic Estimation of Chumash Towns and Test of Randomness using Bootstrap

Yong Fu; M.S., 2007

Meta-Analysis for Observational Studies: Statistical Methods for Heterogeneity, Publication Bias and Combining Studies

Jason Monroe; M.S., 2007

Santa Barbara County Ambulance Response Performance Under Load

Joshua Chang; M.S., 2007

Teaching Introductory Statistics at the Community Colleges

Jacquelina DaCosta; M.S., 2007

Time Series Analysis of Air Pollution in the City of Bakersfield, California

Shuojun Wang; M.S., 2007

A Common Distribution for Earthquake Tessellations, Interevent Times, and Distances

Jung Ju Seo; M.S., 2006

A Study of Tuna Bycatch Using Correspondence Analysis

Taknobu Fujita; M.S., 2006

Association of Candidate Gene Polymorphisms and Response to Interferon Treatment in Patients with Chronic Hepatitis C Virus Infection

Haiming Zhao; M.S., 2006

Efficient Three Quarter Fractional Factorial Designs

Weizhi Mo; M.S., 2006

Matching Estimators for Observational Studies with Binary Treatments

Kirsten Ann Jonhson; M.S., 2006

Portfolio Selection Methods: An Empirical Investigation

Kathy Kam; M.S., 2006

An Empirical Analysis of Determinants of Long-term Interest Rates

Kimberly B. Duke; M.S., 2005

Development of Statistical Online Computational Resources and Teaching Tools

Dushyanth Krishnamurthy; M.S., 2005

Gambler's Ruin in Many Dimensions and Optimal Strategy in Repeated Multi-Player Games with Application to Poker

Min Seong Kim; M.S., 2005

Linkage Disequilibrium Measures

Chia-Ho Lin; M.S., 2005

Nonregular Blocked Factorial Designs

Yang Wen; M.S., 2005

Two-Level Nonregular Designs from Quaternary Codes

Alan Yuen Hsin Wong; M.S., 2005

A Monte Carlo Approach to Pricing: An Exotic Currency Derivative Structure

Ivan O. Asensio; M.S., 2004

Preliminary Processing, Input Automation, Normalization, and Graphical Diagnosis of cDNA Microarray Data Using Bioconductor R Packages

Kaiding Zhu; M.S., 2004

Two-Level Maximin Distance Fractional Factorial Designs

Kwan Yi Kwong; M.S., 2004

What Moves the Markets? An Exploration of the Covariance of Stock Market Returns and Implications for Optimal Portfolio Selection Algorithms

Demetria Gianopoulos; M.S., 2004

The New Trends in the Teaching of Statistics and the Assessment of a Lower Division Undergraduate Statistics Class at UCLA

Yung-Ai Alice Chuang; M.S., 2003

Statistical Analysis of Temporal Change in Structural Magnetic Resonance Imaging Data

Kwun Yee Trudy Poon; M.S., 2002

The Application of Statistical Techniques in Studies of Beach Processes

Jinrui Cui; M.S., 2002

The Impact of Population Growth, Land Use, and Climate Change on Water Resources in Kobe, Japan, 1969-1999

Sarah E. Rothenberg; M.S., 2002

Comparison of Effectiveness of Meridia Versus Fen-Phen in Weight Loss

Eunice Kim; M.S., 2000

Gender Differences in High School Mathematics Achievement: An Empirical Application of the Propensity Score Adjustment

Susan Stockdale; M.S., 1995