Annual Report 2008.pdf - SAMSI

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Xu Xu Yan Yang Ying Ying Zhang Zhang Zhao Zhong Zhou Zhu Ke Zhiliang Pengchong Xingzhou Lexing Wenjun Jianying Qin Hongkai Weigang Hong Luoding F UNC Mathematics GF M U Notre Dame Mathematics WGR M UC Davis Mathematics WGR M NCSU Appl Mathematics WG M U Texas Mathematics WGR M Duke U Appl Mathematics WG F W Washington Mathematics WGR M NCSU Mathematics GF M UC Irvine Mathematics SC M <strong>SAMSI</strong> Appl Mathematics PF F Naval Postgraduate School Mathematics WGR M Indiana Mathematics WGR Risk Analysis, Extreme Events and Decision Theory Program Core Participants and Targeted Experts Last Name First Name Gender Affiliation Department Status Banks David M Duke U Statistics FA Bayarri M.J. F U of Valencia Statistics SC Bedford Bishwal Cameletti Chen Tim Jaya Michela Wei M Strathclyde University Mathematics WGR M UNC, Charlotte Mathematics WGR F University of Bergamo Statistics NRV M SAS Statistics WG
Cheng Choi Clark Cooley Das Das Deleris Dey Dinwoodie Donnelly Enstrom Evangelou Gaioni Gilleland Goodman Guo Grigoriu Hammitt Hill Hosking Hsing Guang Jaeun Scott Daniel Sonali Sourish Lea Dipak Ian Christl Betsy Evangelos Elijah Eric Dougal Feng Mircea James Jonathan Jonathan Tailen M <strong>SAMSI</strong>/Duke Statistics PF F UNC Statistics GF M Oregon State Mathematics WGR M Colorado State Statistics WGR F U Connecticut Statistics WGR M U Connecticut Statistics GF F IBM Engineering WGR M U Connecticut Statistics SC M Duke U Statistics WG F Imperial College Statistics DL F Duke U Statistics GF M UNC Statistics GF M U Connecticut Statistics GF M NCAR Statistics WGR M Foundation for Science and Technology Physics M Virginia Tech Statistics WGR M Cornell Engineering SC M Harvard Sociology WGR M UNC Statistics WG M IBM Statistics WGR M U Michigan Statistics WGR SV
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: Mattingly McKinley Minion Mitran Ng
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
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
Page 103 and 104:
interested students and faculty, an
Page 105 and 106:
6. Education and Outreach Program T
Page 107 and 108:
Cherokee Investment Partners, Const
Page 109 and 110:
G. Publications and Technical Repor
Page 111 and 112:
• Ma, C. “Construction of Non-G
Page 113 and 114:
• Bayarri, M.J., J. Berger, F. Li
Page 115 and 116:
• Vernieres, G., Gremaud, P., Olu
Page 117 and 118:
• Krishnapur, M., Zeitouni, O., R
Page 119 and 120:
• Hou, S., K. Huang, K. Solna, an
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• Das, S., “Analyzing Fatal Dri
Page 123 and 124:
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
Page 131 and 132:
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
Page 155 and 156:
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
Page 183 and 184:
Education and Outreach Program SAMS
Page 185 and 186:
Sutton Karyn Female NCSU Mathematic
Page 187 and 188:
Lin Rongheng Male U Mass Biostatist
Page 189 and 190:
Geometry and Statistics of Shape Sp
Page 191 and 192:
Heo Giseon Female Hirani Anil Male
Page 193 and 194:
Pennec Xavier Male Pike Brian Male
Page 195 and 196:
Yasamin Saeid Male Yezzi Anthony Ma
Page 197 and 198:
Daum Keith Male Idaho National Labo
Page 199 and 200:
Langstaff John Male Laurey Terri Fe
Page 201 and 202:
Sedransk Nell Female NISS Statistic
Page 203 and 204:
Risk PPP Workshop Workshop Particip
Page 205 and 206:
Rezaei Mahmoud Male Clemson Mathema
Page 207 and 208:
Lysenko Natalia Female ETH Zurich S
Page 209 and 210:
Biondini Gino Male State U New York
Page 211 and 212:
Khatri Shilpa Female Courant Instit
Page 213 and 214:
Spiller Elaine Female SAMSI Mathema
Page 215 and 216:
Interface Workshop Workshop Partici
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Cheney Margaret Female Rensselaer P
Page 219 and 220:
Agarwal Ankit Male U Kansas Enginee
Page 221 and 222:
Lahiri Soumendra Male Texas A & M U
Page 223 and 224:
Last Name SAMSI/CRSC Industrial Mat
Page 225 and 226:
Reale- Levis Jim Male NCSU Engineer
Page 227 and 228:
Gray William Male U. North Carolina
Page 229 and 230:
Serban Nicoleta Female Georgia Inst
Page 231 and 232:
Brotherson Temitope Female NJ Scien
Page 233 and 234:
Frink Kaiem Male Elizabeth City Sta
Page 235 and 236:
Jones Dana Female Bennett College f
Page 237 and 238:
Munoz Breda Female RTI Internationa
Page 239 and 240:
Smith Ralph Male NCSU Mathematics F
Page 241 and 242:
Undergraduate Two-Day Workshop Part
Page 243 and 244:
Schmidt Courtney Female Georgetown
Page 245 and 246:
Schaeffer Amanda Female U Arizona M
Page 247 and 248:
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
Page 261:
“Blind Kriging: a New Method for
Page 267 and 268:
10:00-10:30 Break Characterizing th
Page 269 and 270:
— hist_pie.m — hist_pie_exercis
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9:00 Presentations and Discussion
Page 273 and 274:
11:25-11:55 From Population to Indi
Page 275 and 276:
4:00 - 5:30 Shapes in Medical Imagi
Page 277 and 278:
4:15 - 4:45 Discussion Panel Wednes
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dcremers@cs.uni-bonn.de “Shape In
Page 281 and 282:
We will construct epsilon entropy e
Page 283 and 284:
Department of Statistics flb@stat.w
Page 285 and 286:
University of California Los Angele
Page 287 and 288:
2:45 - 3:15 Break N. D. Shyamal Kum
Page 289 and 290:
2:15 - 4:00 Working Group Formation
Page 291 and 292:
and public health questions; little
Page 293 and 294:
Howard Kunreuther University of Pen
Page 295 and 296:
series. We propose a specific class
Page 297 and 298:
Interface Tracking in Connection to
Page 299 and 300:
Purdue University Center for Comput
Page 301 and 302:
of the solution. Here we reveal a s
Page 303 and 304:
of the grand challenges of science.
Page 305 and 306:
numerical approach. Several example
Page 307 and 308:
Biofilms are complicated, living co
Page 309 and 310:
Knut Solna University of California
Page 311 and 312:
This poster presents an analysis of
Page 313 and 314:
X. Program on Risk Analysis, Extrem
Page 315 and 316:
SPEAKER ABSTRACTS Chair: David Bank
Page 317 and 318:
Thoughts on the Use of Decision Ana
Page 319 and 320:
Bias Correction in Pharmaceutical R
Page 321 and 322:
In the talk we will discuss some mo
Page 323 and 324:
Stephen Sain, National Center for A
Page 325 and 326:
Concha Gomez, University of Wiscons
Page 327 and 328:
Iris Mack, Phat Math, Inc. and Flor
Page 329 and 330:
8:15 - 8:45 Continental Breakfast a
Page 331 and 332:
coordinate grids on the surface. To
Page 333 and 334:
University of California, Irvine De
Page 335 and 336:
overall a good agreement between im
Page 337 and 338:
9:00-9:05 Alan Karr, National Insti
Page 339 and 340:
3:30 - 4:00 Coffee Break Soumen Lah
Page 341 and 342:
“Experiences in Developing an Eco
Page 343 and 344:
Jennifer Hoeting Colorado State Uni
Page 345 and 346:
kogle@uwyo.edu “Data-Model Integr
Page 347 and 348:
“Compression and Analysis of Gold
Page 349 and 350:
"A Cost-Efficient Approach to Wirel
Page 351 and 352:
The main goal of a data collection
Page 353 and 354:
Wednesday, January 23, 2008 Radisso
Page 355 and 356:
“Robust Prediction Error Criterio
Page 357 and 358:
one of the main sources of uncertai
Page 359 and 360:
other. A core problem is how to inf
Page 361 and 362:
"The Asymptotic Structure of Nearly
Page 363 and 364:
SAMSI madar@post.tau.ac. “Bayesia
Page 365 and 366:
11:30 - 12:00 Discussion Session 12
Page 367 and 368:
garnier@math.jussieu.fr “Wave Pro
Page 369 and 370:
has lagged. While it is quite clear
Page 371 and 372:
Appendix E - Workshop Evaluations E
Page 373 and 374:
E.2 Evaluation of Scientific Conten
Page 375 and 376:
E.3 Evaluation of Staff Percent of
Page 377 and 378:
E.5 Evaluation of Lodging Evaluatio
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