Search Results - "Ekin, Tahir"

Augmented simulation methods for discrete stochastic optimization with recourse.

Authors: Ekin, Tahir Walker, Stephen Damien, Paul

Source: Annals of Operations Research; Jan2023, Vol. 320 Issue 2, p771-793, 23p

Foreword: Special issue of ASMBI for y‐BIS 2019: Recent Advances in Business Analytics and Data Science.

Authors: Ekin, Tahir Puggioni, Gavino Rodrigues, Paulo Canas

Source: Applied Stochastic Models in Business & Industry. Mar2021, Vol. 37 Issue 2, p157-158. 2p.

Multicriteria decision frontiers for prescription anomaly detection over time.

Authors: Zafari, Babak Ekin, Tahir Ruggeri, Fabrizio

Source: Journal of Applied Statistics. Nov2022, Vol. 49 Issue 14, p3638-3658. 21p. 1 Diagram, 1 Chart, 8 Graphs.

Integrated statistical and decision models for multi-stage health care audit sampling.

Authors: Ekin, Tahir Musal, R. M.

Source: Journal of Applied Statistics. Jul2022, Vol. 49 Issue 9, p2307-2325. 19p. 12 Charts, 5 Graphs.

Health care fraud classifiers in practice.

Authors: Ekin, Tahir Frigau, Luca Conversano, Claudio

Source: Applied Stochastic Models in Business & Industry. Nov2021, Vol. 37 Issue 6, p1182-1199. 18p.

Augmented probability simulation methods for sequential games.

Authors: Ekin, Tahir Naveiro, Roi Ríos Insua, David et al.

Source: European Journal of Operational Research; Apr2023, Vol. 306 Issue 1, p418-430, 13p

Discussion of "Machine learning applications in nonlife insurance".

Authors: Ekin, Tahir¹ (AUTHOR) t_e18@txstate.edu

Source: Applied Stochastic Models in Business & Industry. Jul2020, Vol. 36 Issue 4, p541-544. 4p.

Risk-balanced territory design optimization for a Micro finance institution.

Authors: Pérez, Jesús Fabián López Ekin, Tahir Jimenez, Jesus A. et al.

Source: Journal of Industrial & Management Optimization. Mar2020, Vol. 16 Issue 2, p741-758. 18p.

Decision making under uncertain and dependent system rates in service systems.

Authors: Ekin, Tahir Aktekin, Tevfik

Source: European Journal of Operational Research; May2021, Vol. 291 Issue 1, p335-348, 14p

Topic modelling for medical prescription fraud and abuse detection.

Authors: Zafari, Babak Ekin, Tahir

Source: Journal of the Royal Statistical Society: Series C (Applied Statistics); Apr2019, Vol. 68 Issue 3, p751-769, 19p

An unsupervised Bayesian hierarchical method for medical fraud assessment.

Authors: Ekin, Tahir Lakomski, Greg Musal, Rasim Muzaffer

Source: Statistical Analysis & Data Mining. Apr2019, Vol. 12 Issue 2, p116-124. 9p.

Statistical Medical Fraud Assessment: Exposition to an Emerging Field.

Authors: Ekin, Tahir Ieva, Francesca Ruggeri, Fabrizio et al.

Source: International Statistical Review. Dec2018, Vol. 86 Issue 3, p379-402. 24p. 1 Chart, 2 Graphs.

Application of Standard Machine Learning Models for Medicare Fraud Detection with Imbalanced Data.

Authors: Farahmandazad, Dorsa Danesh, Kasra Abadi, Hossein Fazel Najaf

Source: Risks. Oct2025, Vol. 13 Issue 10, p198. 25p.

On the Use of the Concentration Function in Medical Fraud Assessment.

Authors: Ekin, Tahir Ieva, Francesca Ruggeri, Fabrizio et al.

Source: American Statistician. Aug2017, Vol. 71 Issue 3, p236-241. 6p.

Medical overpayment estimation: A Bayesian approach.

Authors: Musal, Rasim M. Ekin, Tahir

Source: Statistical Modelling: An International Journal. Jun2017, Vol. 17 Issue 3, p196-222. 27p.

Overpayment models for medical audits: multiple scenarios.

Authors: Ekin, Tahir Musal, R. Muzaffer Fulton, Lawrence V.

Source: Journal of Applied Statistics. Nov2015, Vol. 42 Issue 11, p2391-2405. 15p. 3 Charts, 7 Graphs.

Machine Learning in Forecasting Motor Insurance Claims.

Authors: Poufinas, Thomas Gogas, Periklis Papadimitriou, Theophilos et al.

Source: Risks. Sep2023, Vol. 11 Issue 9, p164. 19p.

Using a Bayesian Belief Network to detect healthcare fraud.

Authors: Kumaraswamy, Nishamathi Ekin, Tahir Park, Chanhyun et al.

Source: Expert Systems with Applications; Mar2024:Part F, Vol. 238, pN.PAG-N.PAG, 1p

Augmented nested sampling for stochastic programs with recourse and endogenous uncertainty.

Authors: Ekin, Tahir Polson, Nicholas G. Soyer, Refik

Source: Naval Research Logistics. Dec2017, Vol. 64 Issue 8, p613-627. 15p.

Stochastic multi-objective auto-optimization for resource allocation decision-making in fixed-input health systems.

Authors: Bastian, Nathaniel Ekin, Tahir Kang, Hyojung et al.

Source: Health Care Management Science. Jun2017, Vol. 20 Issue 2, p246-264. 19p.