Annual Report 2008.pdf - SAMSI

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supported by this dual-mentor system and by both particular mentors in their personal evaluations. 2007-08 SAMSI Postdocs Guang Cheng (Ph.D., Statistics, 2006, Univsersity of Wisconsin-Madison) SAMSI Program: Risk Analysis, Extreme Events, Decision Theory Research Mentor: Richard Smith Administrative Mentor: Nell Sedransk Cari Kaufman (Ph.D., Statistics, 2006 Carnegie Mellon University) SAMSI Programs: Development, Assessment and Utilization of Complex Computer Models, High Dimensional Inference and Random Matrices Research Mentors: Derek Bingham, Jonathan Rougier Administrative Mentor: Jim Berger Yongku Kim (Ph.D., Statistics, 2007, Ohio State University) SAMSI Programs: Risk Analysis, Extreme Events, Decision Theory Environmental Sensor Networks Research Mentor: Jim Clark Administrative Mentor: Jim Berger Vared Madar (Ph.D., Statistics and Operations Research, 2007, Tel-Aviv University) SAMSI Program: Risk Analysis, Extreme Events, Decision Theory Research Mentor: Dipak Dey Administrative Mentor: Nell Sedransk Xuanlong Nguyen (Ph.D., Computer Science and Statistics, 2007, UC Berkeley) SAMSI Program: Environmental Sensor Networks Research Mentors: Alan Gelfand and Jim Clark Administrative Mentor: Jim Berger Jayanta Pal (Ph.D., Statistics, 2006, University of Michigan) SAMSI Program: Risk Analysis, Extreme Events, Decision Theory Research Mentor: Diapk Dey Administrative Mentor: Michael Minion Jesus Rios (Ph.D., Statistics and Operations Research, 2006, Universidad Rey Juan Carlos) SAMSI Program: Risk Analysis, Extreme Events, Decision Theory Research Mentor: David Rios Administrative Mentor: David Rios Elaine Spiller (Ph.D., Applied Mathematics, 2006, Northwestern University) SAMSI Program: Random Media Research Mentor: Bruce Pitman
Administrative Mentor: Michael Minion Weigang Zhong (Ph.D., Applied Mathematics and Scientific Computation, 2007, University of Maryland, College Park) SAMSI Program: Random Media Research Mentor: Hongkai Zhao, Greg Forest, Zhilin Li Administrative Mentor: Ralph Smith
Page 1 and 2: NSF Annual Report 2007-2008 Submitt
Page 3 and 4: Education and Outreach • 2-Day Wo
Page 5 and 6: C. Directorate’s Summary of Chall
Page 7 and 8: National Leadership and Involvement
Page 9 and 10: D. Synopsis of Developments in Rese
Page 11 and 12: the efficient treatment of complex
Page 13 and 14: c) RANDOM MEDIA Much of the work of
Page 15 and 16: 2. Human Resource Development SAMSI
Page 17 and 18: [it] from time to time.” (M. Rose
Page 19 and 20: Undergraduate Workshops 2007-08 Sum
Page 21 and 22: 3. Education The impact of SAMSI co
Page 23 and 24: The working group Climate and Weath
Page 25 and 26: oundary method as a means to impose
Page 27 and 28: assumed full responsibility for the
Page 29 and 30: I. Annual Progress Report The previ
Page 31 and 32: Kazi Ito NCSU Mathematics Ralph Smi
Page 33 and 34: 2007-08 Sensor Networks Transition
Page 35 and 36: Environmental Sensor Networks Progr
Page 37 and 38: Yang Yu Zhang Zhong Zhu Jun Bin Yi
Page 39 and 40: Mattingly McKinley Minion Mitran Ng
Page 41 and 42: Cheng Choi Clark Cooley Das Das Del
Page 43 and 44: Ren Resnick Rios Cuirong Sidney Jes
Page 45 and 46: Rosenblum Rotnitzky Scharfstein Sun
Page 47: B. Postdoctoral Fellows This sectio
Page 51 and 52: We consider modeling multiple risk
Page 53 and 54: 1. Statistics Department Seminar, C
Page 55 and 56: Presentations: Change of Spatiotemp
Page 57 and 58: Presentations: “Some Thoughts on
Page 59 and 60: Theory for multiple change-point se
Page 61 and 62: 2. Discovering Game Theoretic Conce
Page 63 and 64: “Work on numerical large deviatio
Page 65 and 66: contributing team member, as often
Page 67 and 68: accuracy of the solutions. Some pre
Page 69 and 70: Continuing Collaborations: Helen Zh
Page 71 and 72: 7 th World Congress in Probability
Page 73 and 74: N/A 9. Other Research while at SAMS
Page 75 and 76: Risk analysis (multivariate extreme
Page 77 and 78: Jesus Rios Plans for 2008-10 I will
Page 79 and 80: Communication: --a consistent, time
Page 81 and 82: C. Graduate Student Participation 1
Page 83 and 84: Elijah Gaioni (University of Connec
Page 85 and 86: Xiaoyan’s thesis work is on devel
Page 87 and 88: Jason Wilson (Duke) is involved in
Page 89 and 90: Ilka A. Reis (National Institute fo
Page 91 and 92: 4. Challenges in Dynamic Treatment
Page 93 and 94: 4.5 Program Activities The program
Page 95 and 96: which held morning and afternoon se
Page 97 and 98: • B. Carlin (Biostatistics, Unive
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Also following from the program, se
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4.11 Summary of Exciting Research a
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interested students and faculty, an
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6. Education and Outreach Program T
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Cherokee Investment Partners, Const
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G. Publications and Technical Repor
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• Ma, C. “Construction of Non-G
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• Bayarri, M.J., J. Berger, F. Li
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• Vernieres, G., Gremaud, P., Olu
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• Krishnapur, M., Zeitouni, O., R
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• Hou, S., K. Huang, K. Solna, an
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• Das, S., “Analyzing Fatal Dri
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H. Diversity Efforts SAMSI puts con
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(University of Utah) and Natallia K
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2007-08 Random Media Opening Worksh
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2. Affiliate Involvement 2.1 Backgr
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J. Advisory Committees Committee Na
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Institute directors agree to inform
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analysis of DNA and protein sequenc
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University), Jeremy Gunawarden (Har
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Many problems and existing simulati
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Carolina), Gareth Peters (New South
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actually replace individual analyse
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effect parameter of interest prior
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with structures that are not tempor
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about confidence in results. Furthe
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2. Stochastic Dynamics 2.1 Overview
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Michael Reed (Mathematics, Duke), G
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These two approaches, through the u
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• Li Lexin (North Carolina State
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At NCAR, Boulder, Colorado and orga
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SAMSI working groups. Participation
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certain distances, be used to captu
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subject to the l 1 constraint. Zou
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3. Breiman, L. (1996): Heuristics o
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enabled high virtual attendance by
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(b) Estimation of large random matr
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We have already discussed problems
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Appendix C. Workshop Participant Li
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Sanso Bruno Male University of Cali
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Compmod New Methods and Case Studie
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El Karoui Nourredine Male UC Berkel
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Education and Outreach Program SAMS
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Sutton Karyn Female NCSU Mathematic
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Lin Rongheng Male U Mass Biostatist
Page 189 and 190:
Geometry and Statistics of Shape Sp
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Heo Giseon Female Hirani Anil Male
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Pennec Xavier Male Pike Brian Male
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Yasamin Saeid Male Yezzi Anthony Ma
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Daum Keith Male Idaho National Labo
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Langstaff John Male Laurey Terri Fe
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Sedransk Nell Female NISS Statistic
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Risk PPP Workshop Workshop Particip
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Rezaei Mahmoud Male Clemson Mathema
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Lysenko Natalia Female ETH Zurich S
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Biondini Gino Male State U New York
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Khatri Shilpa Female Courant Instit
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Spiller Elaine Female SAMSI Mathema
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Interface Workshop Workshop Partici
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Cheney Margaret Female Rensselaer P
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Agarwal Ankit Male U Kansas Enginee
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Lahiri Soumendra Male Texas A & M U
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Last Name SAMSI/CRSC Industrial Mat
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Reale- Levis Jim Male NCSU Engineer
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Gray William Male U. North Carolina
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Serban Nicoleta Female Georgia Inst
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Brotherson Temitope Female NJ Scien
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Frink Kaiem Male Elizabeth City Sta
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Jones Dana Female Bennett College f
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Munoz Breda Female RTI Internationa
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Smith Ralph Male NCSU Mathematics F
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Undergraduate Two-Day Workshop Part
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Schmidt Courtney Female Georgetown
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Schaeffer Amanda Female U Arizona M
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Presentation Chris Snyder, NCAR/MMM
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Chair of Afternoon Session Tom Sant
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1:00-2:15 Lunch Chair of Afternoon
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“Calibration of a Numerical Model
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model. The output is functional dat
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santner.1@osu.edu “Optimization o
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greatly from the active support of
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“Blind Kriging: a New Method for
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10:00-10:30 Break Characterizing th
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— hist_pie.m — hist_pie_exercis
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9:00 Presentations and Discussion
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11:25-11:55 From Population to Indi
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4:00 - 5:30 Shapes in Medical Imagi
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4:15 - 4:45 Discussion Panel Wednes
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dcremers@cs.uni-bonn.de “Shape In
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We will construct epsilon entropy e
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Department of Statistics flb@stat.w
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University of California Los Angele
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2:45 - 3:15 Break N. D. Shyamal Kum
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2:15 - 4:00 Working Group Formation
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and public health questions; little
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Howard Kunreuther University of Pen
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series. We propose a specific class
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Interface Tracking in Connection to
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Purdue University Center for Comput
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of the solution. Here we reveal a s
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of the grand challenges of science.
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numerical approach. Several example
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Biofilms are complicated, living co
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Knut Solna University of California
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This poster presents an analysis of
Page 313 and 314:
X. Program on Risk Analysis, Extrem
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SPEAKER ABSTRACTS Chair: David Bank
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Thoughts on the Use of Decision Ana
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Bias Correction in Pharmaceutical R
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In the talk we will discuss some mo
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Stephen Sain, National Center for A
Page 325 and 326:
Concha Gomez, University of Wiscons
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Iris Mack, Phat Math, Inc. and Flor
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8:15 - 8:45 Continental Breakfast a
Page 331 and 332:
coordinate grids on the surface. To
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University of California, Irvine De
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overall a good agreement between im
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9:00-9:05 Alan Karr, National Insti
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3:30 - 4:00 Coffee Break Soumen Lah
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“Experiences in Developing an Eco
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Jennifer Hoeting Colorado State Uni
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kogle@uwyo.edu “Data-Model Integr
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“Compression and Analysis of Gold
Page 349 and 350:
"A Cost-Efficient Approach to Wirel
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The main goal of a data collection
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Wednesday, January 23, 2008 Radisso
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“Robust Prediction Error Criterio
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one of the main sources of uncertai
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other. A core problem is how to inf
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"The Asymptotic Structure of Nearly
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SAMSI madar@post.tau.ac. “Bayesia
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11:30 - 12:00 Discussion Session 12
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garnier@math.jussieu.fr “Wave Pro
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has lagged. While it is quite clear
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Appendix E - Workshop Evaluations E
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E.2 Evaluation of Scientific Conten
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E.3 Evaluation of Staff Percent of
Page 377 and 378:
E.5 Evaluation of Lodging Evaluatio
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