SelectedWorks - Stephen W. Carden

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Selected Works of Stephen W. Carden

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Associate Professor

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Stephen W. Carden is an Associate Professor in the Department of Mathematical Science at Georgia Southern University. He joined Georgia Southern in 2014.

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About Stephen W. Carden

Stephen W. Carden is an Associate Professor in the Department of Mathematical Science at Georgia Southern University. He joined Georgia Southern in 2014.

Positions

Present	Faculty Member, Georgia Southern University ‐ Department of Mathematical Sciences
Institution Organization Position Type Position Title Time Period to Options Current Position Affiliate my profile with this Institution

Curriculum Vitae

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Disciplines

Research Interests

Stochastic processes, Stochastic modeling, Machine learning, Statistical learning, Reinforcement learning, Statistics, Convergence properties of RL algorithms, Non-parametric regression, Estimating value functions, Stochastic optimization, and Markov decision processes

Grants

2017	Grant
	Affordable Learning Georgia
	Role: Co-PI
	Colleague(s): Scott Kersey (Co-Pi)
	$10,800

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Professional Service and Affiliations

2020 - Present	Chair, Statistics Group
2017 - Present	Member, Department-level Grants & Scholarships committee, GSU
2016 - Present	Member, College-level Course & Curriculum committee, GSU
2017 - 2020	Member, Department-level Graduate committee, GSU
2016 - 2020	Participant, Conversations with Professors, GSU
2018	Session Chair, MAA Southeast Section Meeting
2016 - 2018	Member, University-level Honors Day committee, GSU
2015 - 2018	Member, Department-level Course & Curriculum committee, GSU
2016 - 2017	Alternate, Faculty Senate, GSU
2016	Member, University-level Graduate committee, GSU
2015 - 2016	Member, Department-level Graduate committee, GSU

Position

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Current Position

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Honors and Awards

Honors and Awards

Graduate Assistance Award for Excellence in Teaching (2010-2011)
Clayton V. Aucoin Award for Outstanding Masters Student (2010)
Best Presentation, Trevecca Undergraduate Research Symposium (2008)

Courses

Mathematical Statistics II (STAT 7332)
Mathematical Statistics I (STAT 7331)
Sampling and Survey Methods (STAT 5130)
Introduction to Statistics I (STAT 2231)
Probability (MATH 3337)
Elementary Functions (MATH 1030)
Calculus I (MATH 1060)
Essential Mathematics (MATH 1010)
Business Statistics (MATH 3090)
Elementary Statistical Inference (MATH 2030)
Design and Analysis of Experiments (STAT 8050)

Education

Institution

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2014	Ph.D. in Mathematical Sciences, Clemson University
Institution Organization Student Type Student Title Degree Time Period to Options Currently enrolled Affiliate my profile with this Institution
2010	M.S. in Mathematical Sciences, Clemson University
Institution Organization Student Type Student Title Degree Time Period to Options Currently enrolled Affiliate my profile with this Institution
2008	B.A. in Mathematics, Trevecca Nazarene University
Institution Organization Student Type Student Title Degree Time Period to Options Currently enrolled Affiliate my profile with this Institution

Links

Google Scholar
ResearchGate
Google Sites
Linkedin

Contact Information

P.O. Box 8093

Statesboro, GA 30460

Phone: (912) 478-5390

Office: Math/Physics Building

Email:

ORCID

http://orcid.org/0000-0002-4793-7883

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Publications
Presentations
Research Works

Publications (7)

Inferring Grandiose Narcissism From Text: LIWC Versus Machine Learning

Journal of Language and Social Psychology (2020)

Andrew D. Cutler, Stephen W. Carden, Hannah L Dorough and Nicholas S Holtzman

People have long used language to infer associates’ personality. In quantitative research, the relationship is often analyzed by looking at ...

Exploration Using Without-Replacement Sampling of Actions Is Sometimes Inferior

Machine Learning & Knowledge Extracting (2019)

Stephen W. Carden and S. Dalton Walker

In many statistical and machine learning applications, without-replacement sampling is considered superior to with-replacement sampling. In some cases, this has ...

Cronbach’s Alpha Under Insufficient Effort Responding: An Analytic Approach

Stephen W. Carden, Trevor R. Camper and Nicholas S. Holtzman

Surveys commonly suffer from insufficient effort responding (IER). If not accounted for, IER can cause biases and lead to false ...

The Impact of Shared Sanitation Facilities On Diarrheal Diseases With ...

Journal of Pathogens and Global Health (2018)

Matthew R. Just, Stephen W. Carden, Sheng Li, Kelly K. Baker, et al.

Epidemiological studies have identified an increased risk of diarrheal diseases associated with using shared sanitation facilities. We hypothesized that this ...

CAHOST: An Excel Workbook for Facilitating the Johnson-Neyman Technique for ...

Frontiers in Psychology (2017)

Stephen W. Carden, Nicholas S. Holtzman and Michael J. Strube

When using multiple regression, researchers frequently wish to explore how the relationship between two variables is moderated by another variable; ...

Small-sample Reinforcement Learning: Improved Policies Using Synthetic Data

Intelligent Decision Technologies (2017)

Stephen W. Carden and James Livsey

Reinforcement learning (RL) concerns algorithms tasked with learning optimal control policies by interacting with or observing a system. In computer ...

Convergence of a Q-Learning Variant for Continuous States and Actions

Journal of Artificial Intelligence Research (2014)

Stephen W. Carden

This paper presents a reinforcement learning algorithm for solving infinite horizon Markov Decision Processes under the expected total discounted reward ...

Presentations (13)

Exploration Using Without-Replacement Sampling of Actions is Sometimes Inferior

100th Meeting of the Southeastern Section of the Mathematical Association of America (2021)

Stephen W. Carden

Presentation given at the 100th Meeting of the Southeastern Section of the Mathematical Association of America. Abstract In many statistical ...

Bias of Correlation under Mixtures

Special Day for Statistics (2020)

C. R. Land and Stephen W. Carden

Presentation given at the Special Day for Statistics Conference.

Exploration Using Without-Replacement Sampling of Actions is Sometimes Inferior

Georgia Southern Mathematical Sciences Department Seminar (2019)

Stephen W. Carden

Presentation given at Georgia Southern Mathematical Sciences Department Seminar.

Is Without Replacement Sampling Always Better?

Georgia Southern Probability & Statistics Seminar (2019)

Stephen W. Carden

Presentation given at the Georgia Southern Probability & Statistics Seminar.

Low-Discrepancy Action Selection in Markov Decision Processes

MAA Southeast Section (2018)

Stephen W. Carden

Presentation given at the MAA Southeast Section. Abstract In a Markov Decision Process, an agent must learn to choose actions ...

Bridge Element Deterioration Analysis

Georgia Department of Transportation (2017)

Stephen W. Carden

Presentation given at the Georgia Department of Transportation.

Markov Decision Processes and Reinforcement Learning

Georgia Southern Probability & Statistics Seminar (2016)

Stephen W. Carden

Markov Decision Processes and Reinforcement Learning

Decision Theory Group (2016)

Stephen W. Carden

Streamlining the Johnson-Neyman Technique for Two-Way Interactions

Georgia Southern Probability & Statistics Seminar (2016)

Stephen W. Carden

When trying to determine the effect of one variable upon another, it is often the case that the strength of ...

Reinforcement Learning for Categorical Data and Marginalized Transition Models

Joint Statistical Meetings (JSM) (2015)

Stephen W. Carden

Reinforcement Learning concerns algorithms tasked with learning optimal control policies from interacting with or observing a system. Fitted Q-iteration is ...

Marginalized Transition Models and Reinforcement Learning

Georgia Southern Probability & Statistics Seminar (2014)

Stephen W. Carden

An Introduction to Reinforcement Learning

Clemson Graduate Student Seminar (2013)

Stephen W. Carden

Convergence of Markov Decision Process Solutions for Continuous States and ...

Clemson Statistics & Probability Seminar (2013)

Stephen W. Carden

Research Works (1)

CAHOST_v1.0.xlsm

Stephen W. Carden

This is CAHOST, the Excel workbook for implementing the Johnson-Neyman technique.

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