Annual Report 2008.pdf - SAMSI

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Huijing Ignaccolo Jose Katzoff Kyj Lindley Lu Lu Lum Macaro Madar Michailidis Munoz Nail Nolan Pal Parnell Pericchi Porter Qaqish Qin Jiang Rosalba Victor Richmond Myron Lada Brandon Huitian Wenbin Kristian Christian Vered George Pilar Amy John Nabendu Gregory Luis Michael Bahjat Xiao F Georgia Tech Statistics GF F Universita' di Torino Statistics SC M Duke U Statistics WG M CDC/CCHIS/NCHS/ORM Statistics WGR F Rice U Statistics WGR M UNC Mathematics GF M South Dakota U Statistics WGR M NCSU Statistics FF F Duke U Statistics GF M Roma Tre University Statistics WGR F <strong>SAMSI</strong> Statistics PF M U Michigan Statistics WGR F Technical University of Catalonia (UPC) Statistics F NCSU Statistics WG M American U Statistics WGR M M SC University of Louisiana at Lafayette Statistics WGR United States Military Academy Engineering WGR M U of Puerto Rico Statistics SV M NCSU Statistics PA M UNC Statistics FF F UNC Statistics WG
Ren Resnick Rios Cuirong Sidney Jesus M U Missouri Statistics SC M Cornell Statistics SC M <strong>SAMSI</strong> Statistics NRC Rios Insua David M U Rey Juan Carlos Statistics SC Rodriguez Rootzen Ruggeri Sang Schuette Serban Shen Shinki Shows Smith Tuzov Wang Wang Wang Wang Weissman White Abel Holger Fabrizio Huiyan Paul Nicoleta Haipeng Kazuhiko Justin Richard Nikita Huixia Jen-Ting Judy Kai Ishay Gentry M U of Santa Cruz Statistics NRV M Chalmers Statistics SV M CNR IMATI Statistics SC F Duke U Statistics WG M Meredith College Statistics WG F Georgia Tech Statistics NRC M UNC Statistics FF M University of Wisconsin- Madison Statistics WGR M NCSU Statistics GF M UNC Statistics FF M Purdue Statistics WGR F NCSU Statistics WG F SUNY Mathematics SC F NCSU Statistics WG M Duke U Statistics WG M Israel Institute of Technology Engineering M NCSU Statistics PA 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 and 40: Mattingly McKinley Minion Mitran Ng
Page 41: Cheng Choi Clark Cooley Das Das Del
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
Page 99 and 100:
Also following from the program, se
Page 101 and 102:
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
Page 121 and 122:
• Das, S., “Analyzing Fatal Dri
Page 123 and 124:
H. Diversity Efforts SAMSI puts con
Page 125 and 126:
(University of Utah) and Natallia K
Page 127 and 128:
2007-08 Random Media Opening Worksh
Page 129 and 130:
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
Page 139 and 140:
Many problems and existing simulati
Page 141 and 142:
Carolina), Gareth Peters (New South
Page 143 and 144:
actually replace individual analyse
Page 145 and 146:
effect parameter of interest prior
Page 147 and 148:
with structures that are not tempor
Page 149 and 150:
about confidence in results. Furthe
Page 151 and 152:
2. Stochastic Dynamics 2.1 Overview
Page 153 and 154:
Michael Reed (Mathematics, Duke), G
Page 155 and 156:
These two approaches, through the u
Page 157 and 158:
• Li Lexin (North Carolina State
Page 159 and 160:
At NCAR, Boulder, Colorado and orga
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SAMSI working groups. Participation
Page 163 and 164:
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
Page 171 and 172:
(b) Estimation of large random matr
Page 173 and 174:
We have already discussed problems
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Appendix C. Workshop Participant Li
Page 177 and 178:
Sanso Bruno Male University of Cali
Page 179 and 180:
Compmod New Methods and Case Studie
Page 181 and 182:
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
Page 217 and 218:
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
Page 249 and 250:
Chair of Afternoon Session Tom Sant
Page 251 and 252:
1:00-2:15 Lunch Chair of Afternoon
Page 253 and 254:
“Calibration of a Numerical Model
Page 255 and 256:
model. The output is functional dat
Page 257 and 258:
santner.1@osu.edu “Optimization o
Page 259 and 260:
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
Page 271 and 272:
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
Page 279 and 280:
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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