Applied Probability Society

Markov Lecture Slides

In 2005, the Applied Probability Society initiated the annual Markov Lecture, to be delivered in the Autumn of each year at the INFORMS National Meeting. The intent is to both honor the associated speaker and to bring to the APS membership topical work of the highest calibre in our discipline. The Markov Lecturer is selected by a committee consisting of the APS Prize Committee for the year in question and the APS track organizers involved in organizing that year's INFORMS conference.

Year Lecturer Affiliation Topic Discussants
2015 David Yao Columbia University pdf Risk Analytics  Jose Blanchet
 Paul Glasserman
2014 Peter Glynn Stanford University
2013 Martin Reiman Bell Labs pdf A Stochastic Programming Based Approach to Assemble-to-order Inventory Systems

vnd.openxmlformats-officedocument.presentationml.presentation Alan Scheller-Wolf

pdf Amy Ward

2012 Jim Dai Cornell University and Georgia Tech 

Stochastic Network Models for Hospital Inpatient Flow Management

pdf Part I
pdf Part II

Baris Ata

pdf Avi Mandelbaum

2011 Francois Baccelli ENS and INRIA pdf Routing on Point Processes

vnd.openxmlformats-officedocument.presentationml.presentation David Gamarnik

vnd.openxmlformats-officedocument.presentationml.presentation Devavrat Shah

2010 Ward Whitt Columbia University pdf Multiserver Queues with Time-Varying Arrival Rates

pdf Galit Tom-Yov

Bill Massey

2009 John N. Tsitsiklis MIT

Information Aggregation and Consensus in Networks

pdf Part I
pdf Part II
pdf Part III

pdf Ben Van Roy

pdf Vivek Borkar

2008 Steve Shreve CMU

pdf Paul Glasserman

 Ronnie Sircar

2007 Ruth Williams UCSD

Kavita Ramanan

Mark Squillante

2006 Bruce Hajek UIUC Michael Mitzenmacher

pdf R.W.R. Darling

2005 Avi Mandelbaum Technion -- Israel Institute of Technology Ger Koole

pdf Marty Reiman

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