Annual Report 2008.pdf - SAMSI

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Workshop Evaluations: Detailed evaluations of workshops are given in Appendix F. Here are the summary graphs indicating the satisfaction of participants. 60% Summary of Science at SAMSI Workshops (2002-April 2008) Poor Fair Good Very Good Excellent Percent of Responses 45% 30% 15% 0% 2002-03 2003-04 2004-05 2005-06 2006-07 2007-08 Year Workshops 2007-08 Summary: 15 Events Percent of Participants 100% 75% 50% 25% Excellent Very Good Good Fair Poor 0% Science Staff Facility Lodging Transportation Item 18
Undergraduate Workshops 2007-08 Summary: 3 Events Excellent Very Good 100% Good Fair Percent of Participants 75% 50% 25% Poor 0% Science Staff Facility Lodging Transportation Item It is SAMSI’s policy always to attract and support the leading scientists, regardless of nationality; but to otherwise focus resources on domestic participants. The table below shows the nationality status of the participants who received some funding from SAMSI. Year US Citizen or Permanent Resident Foreign National Residing in US Foreign National Not Residing in US TOTAL 2002-03 209 87 36 332 2003-04 220 90 29 339 2004-05 158 71 21 250 2005-06 217 101 37 355 2006-07 211 142 60 413 2007-08 (thru 4/08) 288 76 28 392 TOTAL 1303 567 211 2081 Percentage of all funded participants 62.61% 27.25% 10.14% 19
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: [it] from time to time.” (M. Rose
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 and 48: B. Postdoctoral Fellows This sectio
Page 49 and 50: Administrative Mentor: Michael Mini
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
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Continuing Collaborations: Helen Zh
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7 th World Congress in Probability
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N/A 9. Other Research while at SAMS
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Risk analysis (multivariate extreme
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Jesus Rios Plans for 2008-10 I will
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Communication: --a consistent, time
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C. Graduate Student Participation 1
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Elijah Gaioni (University of Connec
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Xiaoyan’s thesis work is on devel
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Jason Wilson (Duke) is involved in
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Ilka A. Reis (National Institute fo
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4. Challenges in Dynamic Treatment
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4.5 Program Activities The program
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which held morning and afternoon se
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• 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
Page 185 and 186:
Sutton Karyn Female NCSU Mathematic
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Lin Rongheng Male U Mass Biostatist
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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
Page 195 and 196:
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
Page 267 and 268:
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
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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
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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
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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
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"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
Page 363 and 364:
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
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E.5 Evaluation of Lodging Evaluatio
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