Erol A. Peköz
Professor of Operations and Technology Management
Boston University School of Management
Contact
Information
Erol A. Peköz
595 Commonwealth Avenue, Room 607
Boston, MA 02215
Phone: (617) 353-2676, Fax: (617) 353-4098
Email: pekoz@bu.edu
Profile
Erol
Peköz has a BS degree from Cornell University, and MS and Ph.D degrees in
Operations Research from University of California, Berkeley. Working in the
areas of applied probability and statistics, Professor Peköz studies stochastic
problems in Operations Management and Finance. These include queueing models
for congestion in operations, theory of rare events, Monte Carlo simulation,
risk management, and statistical models for health care provider profiling. His
work appears in academic journals such as Annals
of Probability, Bernoulli, Journal of
Applied Probability, Medical Care, and Statistics in Medicine. He
has conducted research funded by the Department of Health and Human Services,
Agency for Healthcare Research and Quality, the Robert Wood Johnson Foundation,
and the Veterans Health Administration. He has also worked as a consultant for
Pfizer and the Accenture Institute for High Performance Business. Professor
Peköz has also taught on the faculty at Harvard, UCLA and also at UC Berkeley,
where he received an award for outstanding instruction. At Boston University he was awarded the
Broderick Prize for Teaching.
Books
·
S. Ross, E. Peköz. A
Second Course in Probability, ProbabilityBookstore.com, Boston: May 1, 2007. Read an interview about it here, a
review from the MAA (Mathematical Association of America) here, a review from Choice
Magazine here,
and a review from Amazon here.
·
E. Peköz. The
Manager’s Guide to Statistics.
ProbabilityBookstore.com, Boston: March 1, 2009. Read a review from The American Statistician here.
Papers
·
E.
Peköz, A. Röllin and N. Ross. Degree asymptotics with
rates for preferential attachment random graphs. Annals of Applied Probability, Vol.
23, No. 3 (2013), pp. 1188 – 1218.
·
E. Peköz, A. Röllin and N. Ross. Total variation and local
limit error bounds for geometric approximation. Bernoulli,
19(2), 2013, 610–632.
·
E. Peköz and A. Röllin. Exponential approximation for
the non-critical Galton-Watson process and for occupation times of Markov
chains. Electronic Journal of Probability, No. 51 (2011), pp. 1381–1393.
·
E. Peköz and A. Röllin. New rates for exponential
approximation and the theorems of Renyi and Yaglom. Annals of Probability, Vol. 39 (2011),
No. 2, 587–608.
·
M. Shwartz, E. Peköz, A. Labonte, J.
Heineke, and J.D. Restuccia. Bringing Small Area Variations in
Hospitalization Rates Back to the Hospital: The Propensity to Hospitalize Index
– and a Test of Roemer’s Law. Medical
Care, Vol. 49, No. 12, pp. 1062-1067, 2011.
·
M. Shwartz, E. Peköz,
J. Burgess, C. Christiansen. Shrinkage
estimators for composite measure of quality conceptualized as a formative
construct. Health Services Research,
2013 Feb; 48(1):271-89.
·
E. Peköz, M. Shwartz, C. Christiansen, D. Berlowitz. Approximate models for
aggregate data when individual-level data sets are very large or unavailable. Statistics in Medicine, 29 (2010), pp.
2180–2193.
·
M. Brown, E. Peköz and S.M. Ross. Some results for skip-free
random walk. Probability in the
Engineering and Informational Sciences, 24 (2010), 1–17.
·
Stolzmann K.L., Meterko M., Shwartz M., Young G.J., Peköz E.A., Benzer J.K., Osatuke K., White B.
and Mohr D.C. Accounting for Variation in
Technical Quality and Patient Satisfaction: The Contribution of Patient,
Provider, Team and Medical Center. Medical Care, 48 (2010), no. 8, pp. 676
– 682.
·
M. Brown, E. Peköz and S.M. Ross. Finding expectations of
monotone functions of binary random variables by simulation, with applications
to reliability, finance, and round robin tournaments. In Stochastic Analysis, Stochastic Systems, and
Applications to Finance, Allanus Tsoi, David Nualart, George Yin, Editors,
2011..
·
E. Peköz, A. Röllin, V. Cekanavicius and M. Shwartz. A three-parameter binomial
approximation. Journal of Applied
Probability, 46, no. 4 (2009), 1073-1085.
·
M.
Brown, E. Peköz and S.M. Ross. A Random Permutation Model
Arising in Chemistry. Journal
of Applied Probability, 45
(2008), no. 4, pp. 1060-1070.
·
E.
Peköz, S. Ross, S. Seshadri. How Nearly Do Arriving Customers
See Time-Average Behavior? Journal of
Applied Probability, 45 (2008), no. 4, pp. 963-971.
·
E. Peköz, S. Ross.
Relating Customer and
Time Averages Using ‘Forward’ Coupling From the Past. Journal of Applied
Probability, 45
(2008), no. 2, pp. 568-574.
·
M. Shwartz, J.Ren, E. Peköz, X.Wang, A. Cohen,
J.Restuccia . Estimating a Composite Measure of
Hospital Quality from the Hospital Compare Database: Differences When Using a
Bayesian Hierarchical Latent Variable Model versus Denominator-Based Weights. Medical
Care, Volume 46, Number 8, August 2008, pp. 778-785.
·
M. Brown, E. Peköz and S.M. Ross. Coupon Collecting. Probability in the Engineering and
Informational Sciences, 22 (2008), pp. 221-229.
·
S. Ziya, H. Ayhan, R. Foley, E. Peköz. A Monotonicity Result for a G/GI/c
Queue with Balking or Reneging. Journal of Applied Probability, 43
(2006), no. 4, pp. 1201-1205.
·
E. Peköz. A
Compound Poisson Approximation Inequality. Journal of Applied
Probability, 43 (2006), no. 1, pp. 282--288.
·
E. Peköz, J. Blanchet. Heavy
Traffic Limits via Brownian Embeddings. Probability in the Engineering
and Informational Sciences, 20 (2006), pp. 595-598
·
M. Shwartz, A. Ash, E. Peköz. Risk Adjustment and Risk-Adjusted
Provider Profiles. Journal of Healthcare Technology and Management, Volume
7, Number 1-2 (2006), pp. 15 - 42.
·
M. Shwartz, E. Peköz, M. Posner, J. Restuccia, L. Iezzoni. Do Variations in Disease
Prevalence Limit the Usefulness of Population-Based Hospitalization Rates For
Studying Variations in Hospital Admissions? Medical Care.
43(1):4-11, January 2005.
·
E. Peköz and S.M. Ross. Compound random variables. Probability
in the Engineering and Informational Sciences, 18 (2004), no. 4, 473-484.
·
E. Peköz. Samuelson's
Fallacy of Large Numbers and Optional Stopping. Article reprinted in Paul A. Samuelson:
Critical Assessments of Contemporary Economists, John Cunningham Wood and
Michael McLure (eds.), New York: Routledge, 2004.
·
E. Peköz, R. Righter, and C. Xia. Characterizing Losses During Busy
Periods in Finite Buffer Systems. Journal of Applied Probability, 40,
1, March 2003, pp. 250-256.
·
E. Peköz. Some
Memoryless Bandit Policies. Journal of Applied Probability, 40, 1,
March 2003, pp. 250-256.
·
Ash,
M. Shwartz, and E. Peköz. Comparing Outcomes Across
Providers. LI. Iezzoni, ed. Risk Adjustment for Measuring Health Care
Outcomes, 3rd edition.
Health Administration Press, Chicago, IL, 2003.
·
E. Peköz, M. Shwartz, L. Iezzoni, A. Ash, M. Posner, J. Restuccia.
Comparing the Importance
of Disease Rate vs. Practice Style Variations in Explaining Small Area
Variations in Hospitalization Rates for Two Respiratory Conditions. Statistics in Medicine, Vol 22, 2003, pp.
1775-1786.
·
E. Peköz and N. Joglekar. Poisson Traffic Flow in a General
Feedback Queue. Journal of Applied Probability, 39, 2002, pp.
630-636.
·
E. Peköz. Optimal
Policies for Multi-server Non-preemptive Priority Queues. Queueing
Systems: Theory and Applications, 42, 2002, pp. 91-101.
·
E. Peköz. Samuelson's
Fallacy of Large Numbers and Optional Stopping. Journal of Risk and
Insurance, 2002, Vol. 69, No. 1, pp. 1-7.
·
E. Peköz and M. Lapre. Inequalities for Queues with a
Learning Server. Queueing Systems: Theory and Applications, 37,
2001, pp. 337-347.
·
E. Peköz. More on
Using Forced to Idle Time to Improve Performance in Polling Models. Probability
in the Engineering and Informational Sciences, 13, 1999, pp. 489 - 496.
·
E. Peköz. Ignatov's
Theorem and Correlated Record Values. Statistics and Probability Letters,
43, 1999, pp. 107-111.
·
E. Peköz. On the
Mean Number of Refusals in a Busy Period. Probability in the Engineering
and Informational Sciences, 13, 1999, pp. 71-74.
·
E. Peköz and S.M. Ross. Mean Cover Times for Coupon
Collecting and Star Graphs. In Advances in Applied Probability and
Stochastic Processes, Academic Publishers, Boston, January 1999.
·
E. Peköz. A Note on
Reliability Inequalities Via Conditional Inequalities. Journal of
Applied Probability, 36, 1999, pp. 1251-1254.
·
E. Peköz and S.M. Ross. Estimating the Mean Cover Time for
a Semi-Markov Process Via Simulation. Probability in the Engineering and
Informational Sciences, 11, 1997, pp. 267-271.
·
S. Hershkorn, E. Peköz, and S.M. Ross. Policies without Memory for the
Infinite-Armed Bernoulli Bandit under the Average-Reward Criteria. Probability
in the Engineering and Informational Sciences, 10, 1996, pp. 21-28.
·
E. Peköz. Stein's
Method for Geometric Approximation. Journal of Applied Probability,
33, 1996, pp. 707-713.
·
E. Peköz and S.M. Ross. A Simple Derivation of Exact
Reliability Formulas for Linear and Circular Consecutive k-of-n:F
Systems. Journal of Applied Probability, 32, 1995, pp. 554-557.
·
E. Peköz and S.M. Ross. Improving Poisson
Approximations. Probability in the Engineering and Informational
Sciences, 8, 1994, pp. 449-462.
Links
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Operations Management Department
·
Center for Information and
Systems Engineering (CISE)
·
Institute for Operations
Research and the Management Sciences (INFORMS)
·
My CV
