Atilla Ay
Atilla Ay
Doctoral Student of Decision Sciences
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Atilla Ay
2201 G Street NW
Washington, D.C. 20052
Atilla Ay is a doctoral student of decision sciences at the GW School of Business in Washington, D.C.
- B.S. in Computer Engineering, Koc University, Turkey, 2015
- B.S. in Industrial Engineering, Koc University, Turkey, 2015
- Stochastic Models
- Reliability Modeling and Analysis
- Bayesian Methods
- INFORMS Annual Meeting Virtual Conference, November 2020.
Reliability Assessment in Power Systems Using Markov Modulated Markov Models - Joint Statistical Meeting (JSM) Virtual Conference, August 2020
Modeling Power Outages via Markov Modulated Compound Poisson Processes - Games, Decisions, Risk and Reliability (GDRR) Transportation Workshop, Durham N.C., March 2020
Use of Markov Modulated Poisson Processes for Reliability Assessment in Rail Systems - Games, Decisions, Risk and Reliability (GDRR) Opening Workshop, Raleigh, N.C., August 2019
Bayesian Inference on Doubly Stochastic Markov Processes in Reliability - International Conference on Mathematical Methods in Reliability (MMR), Hong Kong, June 2019
Bayesian Inference on Doubly Stochastic Markov Processes in Reliability - International Society for Bayesian Analysis (ISBA), Edinburgh, U.K., June 2018
No Show Predictions in Hospital Appointments: A Bayesian Approach
- "Bayesian Analysis of Doubly Stochastic Markov Processes in Reliability." Atilla Ay, Joshua Landon, Refik Soyer, Suleyman Ozekici. Probability in the Engineering and Informational Sciences (2020). Advance online publication. DOI: 10.1017/s0269964820000157.
- "Bayesian Analysis of Markov Modulated Queues with Abandonment." Atilla Ay, Joshua Landon, Refik Soyer, Suleyman Ozekici. Under revision to be resubmitted to Applied Stochastic Models in Business and Industry.
- "Bayesian Modeling of Power Outages and Their Consequences." Atilla Ay, Refik Soyer. Working Paper (to be submitted to Naval Research Logistics).
- "A Latent-Factor Self-Exciting Point Process for Software Failures." Atilla Ay, Joshua Landon, Fabrizio Ruggeri, Refik Soyer. Working Paper (to be submitted to Reliability Engineering & System Safety).
- "No Show Predictions in Hospital Appointments: A Bayesian Deep Learning Approach." Atilla Ay, Refik Soyer. Summer Paper (to be submitted to Health Care Management Science).