Search results | J. Murrey Atkins Library

Title: CUSTOMER ATTRITION MODELING AND FORECASTING
Author: Xu, Zehan
Date Created: 2019
Subjects--Topical: Statistics
Description: Customer relationship management has shown its critical role in the success of a company in today’s increasingly competitive service industry. While modern machine learning techniques are widely adopted due to their advantages in working with exte...

Title: Developing Data-Driven Approaches for Analyzing, Identifying, and Predicting Power System Outages
Author: Doostan, Milad
Date Created: 2019
Subjects--Topical: Electrical engineering, Statistics
Description: Outages that occur in power distribution systems can seriously endanger system operation in different ways. In recent years, with the explosion in data gathering within the smart grid framework, data analytics has emerged as a desirable tool in he...

Title: Dynamic Modeling of Incomplete Event History Data
Author: Heng, Fei
Date Created: 2019
Subjects--Topical: Statistics
Description: Event history analysis has important applications in many fields, such as medicine, engineering, econometrics, actuarial science, and social studies. We usually encounter missing data problems in the modeling of event history data. One typical pro...

Title: Goodness-of-Fit Tests Under Permutations
Author: Chen, Chen
Date Created: 2019
Subjects--Topical: Statistics, Mathematics, Information science
Description: Several new goodness-of-fit tests are proposed on countable alphabets, where certain fundamental statistical concepts associated with random variables, such as cumulative distribution functions, characteristic functions and moments, may not exist....

Title: High throughput non-parametric probability density estimation via novel multithreaded stitching method
Author: Merino, Zach
Date Created: 2019
Subjects--Topical: Mathematics, Statistics, Physics
Description: A method of univariant probability density function (pdf) estimation is developed for big data applications. The method employs the use of a non-parametric maximum entropy estimator (NMEM) for a data driven multithreaded probability density estima...

Title: Jensen-Shannon Divergence: Estimation and Hypothesis Testing
Author: Stewart, Ann
Date Created: 2019
Subjects--Topical: Statistics
Description: Jensen-Shannon divergence is one reasonable solution to the problem of measuring the level of difference or "distance'" between two probability distributions on a multinomial population. If one of the distributions is assumed to be known a priori,...

Title: Non-parametric Estimation of Information-theoretic Quantities in Entropic Perspective
Author: Zhang, Jialin
Date Created: 2019
Subjects--Topical: Statistics
Description: Introduced by Shannon, mutual information is a fundamental brick of information theory for its essential role in measuring association on non-ordinal alphabets. Mutual information being zero is a golden property as it indicates a probabilistic ind...

Title: OPTIMAL STRATEGIES IN "LOCKS, BOMBS AND TESTING" (LBT) PROBLEM FOR THE CASE OF INDEPENDENT PROTECTION
Author: Liu, Li
Date Created: 2019
Subjects--Topical: Mathematics, Statistics, Operations research
Description: This thesis constructs a Defense/Attack resource allocation model. Defender uses "locks" to protect their boxes from Attacker, and Attacker uses "bombs" to destroy as many boxes as possible. The first models of such type were given by E. Borel (19...

Title: Statistical estimation and inference for the associations of multivariate recurrent event processes
Author: Chen, Peilin
Date Created: 2019
Subjects--Topical: Statistics, Biometry
Description: In this dissertation, we aim to develop a brand new method with a two-stage procedure to investigate the association between multivariate recurrent event processes. First, under the assumption of independent censoring, we model each recurrent even...

Title: Unifying Estimation of Varying-coefficient Models
Author: yin, weitong
Date Created: 2019
Subjects--Topical: Statistics
Description: Varying-coefficient models are widely used to analyze the relationship between a response and a group of covariates. Existing research shows different convergence rates for the estimators of coefficient for the stationary part and the nonstationar...

Title: Universal sample size invariant measures for uncertainty quantification in density estimation
Author: Jacobs, Donald J., Farmer, Jenny, Merino, Zach, Merino, Zach
Date Created: 2019
Subjects--Topical: Statistics, Entropy
Description: Previously, we developed a high throughput non-parametric maximum entropy method (PLOS ONE, 13(5): e0196937, 2018) that employs a log-likelihood scoring function to characterize uncertainty in trial probability density estimates through a scaled q...