| Year |
Citation |
Score |
| 2020 |
Aktekin T, Polson NG, Soyer R. A family of multivariate non‐gaussian time series models Journal of Time Series Analysis. 41: 691-721. DOI: 10.1111/Jtsa.12529 |
0.728 |
|
| 2020 |
Zafari B, Soyer R. Assessment of uncertainty in bid arrival times: A Bayesian mixture model Journal of the Operational Research Society. 1-12. DOI: 10.1080/01605682.2020.1796539 |
0.37 |
|
| 2020 |
Ay A, Soyer R, Landon J, Özekici S. Bayesian Analysis Of Doubly Stochastic Markov Processes In Reliability Probability in the Engineering and Informational Sciences. 1-22. DOI: 10.1017/S0269964820000157 |
0.343 |
|
| 2020 |
Insua DR, Ruggeri F, Soyer R, Wilson S. Advances in Bayesian decision making in reliability European Journal of Operational Research. 282: 1-18. DOI: 10.1016/J.Ejor.2019.03.018 |
0.357 |
|
| 2020 |
Zafari B, Soyer R. Modeling first bid in retail secondary market online auctions: A Bayesian approach Applied Stochastic Models in Business and Industry. 36: 452-464. DOI: 10.1002/Asmb.2498 |
0.412 |
|
| 2019 |
Bhattacharya A, Wilson SP, Soyer R. A Bayesian approach to modeling mortgage default and prepayment European Journal of Operational Research. 274: 1112-1124. DOI: 10.1016/J.Ejor.2018.10.047 |
0.489 |
|
| 2018 |
Aktekin T, Polson N, Soyer R. Sequential Bayesian Analysis of Multivariate Count Data Bayesian Analysis. 13: 385-409. DOI: 10.1214/17-Ba1054 |
0.735 |
|
| 2018 |
Ekin T, Ieva F, Ruggeri F, Soyer R. Statistical Medical Fraud Assessment: Exposition to an Emerging Field International Statistical Review. 86: 379-402. DOI: 10.1111/Insr.12269 |
0.713 |
|
| 2018 |
Ríos Insua D, Ruggeri F, Soyer R, Rasines DG. Adversarial issues in reliability European Journal of Operational Research. 266: 1113-1119. DOI: 10.1016/J.Ejor.2017.10.035 |
0.303 |
|
| 2018 |
Kuzu K, Soyer R. Bayesian modeling of abandonments in ticket queues Naval Research Logistics. 65: 499-521. DOI: 10.1002/Nav.21816 |
0.413 |
|
| 2017 |
Spaeder MC, Soyer R. Risk Model of Bacterial Coinfection in Children with Severe Viral Bronchiolitis. Journal of Pediatric Intensive Care. 6: 103-108. PMID 31073432 DOI: 10.1055/S-0036-1584810 |
0.33 |
|
| 2017 |
Singpurwalla ND, Polson NG, Soyer R. From Least Squares to Signal Processing and Particle Filtering Technometrics. 60: 146-160. DOI: 10.1080/00401706.2017.1341341 |
0.351 |
|
| 2017 |
Ekin T, Ieva F, Ruggeri F, Soyer R. On the Use of the Concentration Function in Medical Fraud Assessment The American Statistician. 71: 236-241. DOI: 10.1080/00031305.2017.1292955 |
0.7 |
|
| 2017 |
Ekin T, Polson NG, Soyer R. Augmented nested sampling for stochastic programs with recourse and endogenous uncertainty Naval Research Logistics (Nrl). 64: 613-627. DOI: 10.1002/Nav.21778 |
0.686 |
|
| 2017 |
Polson NG, Soyer R. Augmented probability simulation for accelerated life test design Applied Stochastic Models in Business and Industry. 33: 322-332. DOI: 10.1002/Asmb.2256 |
0.307 |
|
| 2016 |
Merrick JR, Soyer R. Semiparametric Bayesian optimal replacement policies: application to railroad tracks Applied Stochastic Models in Business and Industry. 33: 445-460. DOI: 10.1002/Asmb.2210 |
0.441 |
|
| 2014 |
Ekin T, Polson NG, Soyer R. Augmented Markov chain Monte Carlo simulation for two-stage stochastic programs with recourse Decision Analysis. 11: 250-264. DOI: 10.1287/Deca.2014.0303 |
0.725 |
|
| 2014 |
Donkor EA, Mazzuchi TA, Soyer R, Alan Roberson J. Urban water demand forecasting: Review of methods and models Journal of Water Resources Planning and Management. 140: 146-159. DOI: 10.1061/(Asce)Wr.1943-5452.0000314 |
0.362 |
|
| 2014 |
Aktekin T, Soyer R. Bayesian analysis of abandonment in call center operations Applied Stochastic Models in Business and Industry. 30: 141-156. DOI: 10.1002/Asmb.1949 |
0.782 |
|
| 2013 |
Aktekin T, Soyer R, Xu F. Assessment of mortgage default risk via bayesian state space models Annals of Applied Statistics. 7: 1450-1473. DOI: 10.1214/13-Aoas632 |
0.766 |
|
| 2013 |
Landon J, Özekici S, Soyer R. A Markov modulated Poisson model for software reliability European Journal of Operational Research. 229: 404-410. DOI: 10.1016/J.Ejor.2013.03.014 |
0.416 |
|
| 2013 |
Soyer R, Sung M. Bayesian dynamic probit models for the analysis of longitudinal data Computational Statistics and Data Analysis. 68: 388-398. DOI: 10.1016/J.Csda.2013.04.016 |
0.646 |
|
| 2013 |
Ebrahimi N, Soofi ES, Soyer R. When are observed failures more informative than observed survivals? Naval Research Logistics. 60: 102-110. DOI: 10.1002/Nav.21522 |
0.316 |
|
| 2013 |
Muzaffer Musal R, Soyer R. Estimation of Group Priorities and Value of Information Journal of Multi-Criteria Decision Analysis. 21: 173-181. DOI: 10.1002/Mcda.1493 |
0.377 |
|
| 2012 |
Merrick JRW, Ruggeri F, Soyer R, Keller LR. From the Editors—Games and Decisions in Reliability and Risk Decision Analysis. 9: 81-85. DOI: 10.1287/Deca.1120.0245 |
0.323 |
|
| 2012 |
Pievatolo A, Ruggeri F, Soyer R. A Bayesian hidden Markov model for imperfect debugging Reliability Engineering & System Safety. 103: 11-21. DOI: 10.1016/J.Ress.2012.03.003 |
0.445 |
|
| 2012 |
Musal RM, Soyer R, McCabe C, Kharroubi SA. Estimating the population utility function: A parametric Bayesian approach European Journal of Operational Research. 218: 538-547. DOI: 10.1016/J.Ejor.2011.11.017 |
0.726 |
|
| 2012 |
Aktekin T, Soyer R. Bayesian analysis of queues with impatient customers: Applications to call centers Naval Research Logistics. 59: 441-456. DOI: 10.1002/Nav.21499 |
0.758 |
|
| 2011 |
Soyer R, Ruggeri F, Merrick JRW. Call for Papers—Special Issue ofDecision Analysison Games and Decisions in Reliability and Risk Decision Analysis. 8: 82-82. DOI: 10.1287/Deca.1110.0200 |
0.332 |
|
| 2011 |
Aktekin T, Soyer R. Call center arrival modeling: A Bayesian state-space approach Naval Research Logistics. 58: 28-42. DOI: 10.1002/Nav.20436 |
0.765 |
|
| 2010 |
Ebrahimi N, Soofi ES, Soyer R. Information Measures in Perspective International Statistical Review. 78: 383-412. DOI: 10.1111/J.1751-5823.2010.00105.X |
0.372 |
|
| 2010 |
Landon J, Ruggeri F, Soyer R, Murat Tarimcilar M. Modeling latent sources in call center arrival data European Journal of Operational Research. 204: 597-603. DOI: 10.1016/J.Ejor.2009.10.022 |
0.395 |
|
| 2009 |
Retzer J, Soofi E, Soyer R. Information importance of predictors: Concept, measures, Bayesian inference, and applications Computational Statistics & Data Analysis. 53: 2363-2377. DOI: 10.1016/J.Csda.2008.03.010 |
0.368 |
|
| 2008 |
Soyer R, Tarimcilar MM. Modeling and Analysis of Call Center Arrival Data: A Bayesian Approach Management Science. 54: 266-278. DOI: 10.1287/Mnsc.1070.0776 |
0.463 |
|
| 2008 |
Mazzuchi TA, Soofi ES, Soyer R. Bayes estimate and inference for entropy and information index of fit Econometric Reviews. 27: 428-456. DOI: 10.1080/07474930801960311 |
0.371 |
|
| 2008 |
Ebrahimi N, Soofi ES, Soyer R. Multivariate maximum entropy identification, transformation, and dependence Journal of Multivariate Analysis. 99: 1217-1231. DOI: 10.1016/J.Jmva.2007.08.004 |
0.342 |
|
| 2007 |
Sung M, Soyer R, Nhan N. Bayesian analysis of non-homogeneous Markov chains: application to mental health data. Statistics in Medicine. 26: 3000-17. PMID 17173342 DOI: 10.1002/Sim.2775 |
0.648 |
|
| 2007 |
Dadpay A, Soofi ES, Soyer R. Information measures for generalized gamma family Journal of Econometrics. 138: 568-585. DOI: 10.1016/J.Jeconom.2006.05.010 |
0.307 |
|
| 2006 |
Soyer R, Tanyeri K. Bayesian portfolio selection with multi-variate random variance models European Journal of Operational Research. 171: 977-990. DOI: 10.1016/J.Ejor.2005.01.012 |
0.395 |
|
| 2006 |
Özekici S, Soyer R. Semi-Markov modulated Poisson process: probabilistic and statistical analysis Mathematical Methods of Operations Research. 64: 125-144. DOI: 10.1007/S00186-006-0067-3 |
0.325 |
|
| 2005 |
Merrick JRW, Soyer R, Mazzuchi TA. Are maintenance practices for railroad tracks effective? Journal of the American Statistical Association. 100: 17-25. DOI: 10.1198/016214504000002104 |
0.373 |
|
| 2003 |
Merrick JRW, Soyer R, Mazzuchi TA. A Bayesian semiparametric-analysis of the reliability and maintenance of machine tools Technometrics. 45: 58-69. DOI: 10.1198/004017002188618707 |
0.355 |
|
| 2003 |
Singpurwalla ND, Mazzuchi TA, Özekici S, Soyer R. Ch. 30. Stochastic process models for reliability in dynamic environments Handbook of Statistics. 22: 1109-1129. DOI: 10.1016/S0169-7161(03)22032-0 |
0.355 |
|
| 2003 |
�zekici S, Soyer R. Bayesian analysis of Markov Modulated Bernoulli Processes Mathematical Methods of Operations Research (Zor). 57: 125-140. DOI: 10.1007/S001860200268 |
0.37 |
|
| 2003 |
Morali N, Soyer R. Optimal stopping in software testing Naval Research Logistics. 50: 88-104. DOI: 10.1002/Nav.10048 |
0.33 |
|
| 2001 |
Erkanli A, Soyer R, Angold A. Bayesian analyses of longitudinal binary data using Markov regression models of unknown order. Statistics in Medicine. 20: 755-70. PMID 11241574 DOI: 10.1002/Sim.702 |
0.411 |
|
| 2001 |
Özekici S, Soyer R. Bayesian testing strategies for software with an operational profile Naval Research Logistics (Nrl). 48: 747-763. DOI: 10.1002/Nav.1046 |
0.349 |
|
| 2000 |
Erkanli A, Soyer R. Simulation-based designs for accelerated life tests Journal of Statistical Planning and Inference. 90: 335-348. DOI: 10.1016/S0378-3758(00)00126-9 |
0.361 |
|
| 2000 |
Mazzuchi TA, Soofi ES, Soyer R. Computation of maximum entropy Dirichlet for modeling lifetime data Computational Statistics and Data Analysis. 32: 361-378. DOI: 10.1016/S0167-9473(99)00090-0 |
0.407 |
|
| 1999 |
Erkanli A, Soyer R, Costello EJ. Bayesian inference for prevalence in longitudinal two-phase studies. Biometrics. 55: 1145-50. PMID 11315060 DOI: 10.1111/J.0006-341X.1999.01145.X |
0.373 |
|
| 1998 |
Erkanli A, Mazzuchi TA, Soyer R. Bayesian computations for a class of reliability growth models Technometrics. 40: 14-23. DOI: 10.2307/1271389 |
0.444 |
|
| 1998 |
Erkanli A, Soyer R, Angold A. Optimal Bayesian two-phase designs Journal of Statistical Planning and Inference. 66: 175-191. DOI: 10.1016/S0378-3758(97)00075-X |
0.318 |
|
| 1998 |
Sanchez PP, Soyer R. Information concepts and pairwise comparison matrices Information Processing Letters. 68: 185-188. DOI: 10.1016/S0020-0190(98)00161-6 |
0.305 |
|
| 1997 |
Mazzuchi TA, Soyer R, Vopatek AL. Linear Bayesian inference for accelerated Weibull model. Lifetime Data Analysis. 3: 63-75. PMID 9384626 DOI: 10.1023/A:1009668202321 |
0.416 |
|
| 1997 |
Van Dorp JR, Mazzuchi TA, Soyer R. Sequential inference and decision making for single mission systems development Journal of Statistical Planning and Inference. 62: 207-218. DOI: 10.1016/S0378-3758(96)00182-6 |
0.37 |
|
| 1996 |
Mazzuchi TA, Soyer R. A Bayesian perspective on some replacement strategies Reliability Engineering and System Safety. 51: 295-303. DOI: 10.1016/0951-8320(95)00077-1 |
0.318 |
|
| 1993 |
Mazzuchi TA, Soyer R. A Bayes Method for Assessing Product-Reliability During Development Testing Ieee Transactions On Reliability. 42: 503-510. DOI: 10.1109/24.257839 |
0.326 |
|
| 1992 |
Singpurwalla ND, Soyer R. Non-Homogeneous Autoregressive Processes for Tracking (Software) Reliability Growth, and Their Bayesian Analysis Journal of the Royal Statistical Society: Series B (Methodological). 54: 145-156. DOI: 10.1111/J.2517-6161.1992.Tb01869.X |
0.348 |
|
| 1992 |
Mazzuchi TA, Soyer R. A dynamic general linear model for inference from accelerated life tests Naval Research Logistics. 39: 757-773. DOI: 10.1002/1520-6750(199210)39:6<757::Aid-Nav3220390603>3.0.Co;2-R |
0.339 |
|
| 1989 |
Mazzuchi TA, Soyer R. Assessment of machine tool reliability using a proportional hazards model Naval Research Logistics. 36: 765-777. DOI: 10.1002/1520-6750(198912)36:6<765::Aid-Nav3220360603>3.0.Co;2-C |
0.352 |
|
| 1988 |
Mazzuchi TA, Soyer R. A Bayes Empirical-Bayes Model for Software Reliability Ieee Transactions On Reliability. 37: 248-254. DOI: 10.1109/24.3749 |
0.435 |
|
| 1985 |
Singpurwalla ND, Soyer R. Assessing (Software) Reliability Growth Using a Random Coefficient Autoregressive Process and Its Ramifications Ieee Transactions On Software Engineering. 1456-1464. DOI: 10.1109/Tse.1985.231889 |
0.374 |
|
| Show low-probability matches. |