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Basic information

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Announcements

Final Working group meeting: Friday, May 7, 2010
Time: 11:00am - 12:45pm
Venue: SAMSI, Room 203

  • Agenda
    1. Presentation by Sourish Das, “Space Time Analysis via Particle Filter”
    2. Updates on progress from sub-working groups
    3. Final discussion and future planning

Goals and outcomes for the working group

This is the Goals and Outcomes document that has been compiled based upon feedback from members of the working group.

Subgroups

    • Leader: Orietta Nicolis (orietta DOT nicolis AT unibg DOT it)
    • Leader: Noel Cressie (ncressie AT stat DOT osu DOT edu)
    • Leaders: Kate Cowles and Brian Smith (kcowles AT stat DOT uiowa DOT edu; brian-j-smith AT uiowa DOT edu)
    • Leader: Bruno Sanso (bruno AT ams DOT ucsc DOT edu)

Meeting activities

Clicking on a date will take you to that date on the Meeting Summary page.

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Date Topics and Readings Notes
05/07/2010 Space Time Analysis via Particle Filter Sourish Das, Minutes
04/23/2010 Bayesian Models for Fish Species Richness in the Gulf of Maine Xia Wang, Minutes
03/26/2010 Spatially Varying Autoregressive Processes Bruno Sanso, Minutes
03/12/2010 Surveillance for detecting emergent space-time clusters Renato Assuncao additional slides, Minutes
02/26/2010 Ensemble Kalman Filters Hans Kuensch (additional figures), Minutes
02/12/2010 Spatio-Temporal Models for Gaussian Areal Data Marco Ferreira, Minutes
02/05/2010 Dynamic Spatial Models, Bayesian Methods in Syndromic SurveillanceDani Gamerman, Frank Zou, Minutes
01/29/2010 Spatial Dynamic Factor Analysis, Using Temporal Variability to Improve Spatial Mapping with Application to Satellite Data
AOD data from the MISR instrument can be downloaded at: SSES program
Hedibert Lopes, Emily Kang, Minutes
01/22/2010 Spatio-Temporal Analysis of Total Nitrate Concentrations Using Dynamic Statistical ModelsSujit Ghosh, Minutes
01/15/2010 Spatio-Temporal Statistics, Including Covariates in Covariance StructuresMinutes
12/11/2009 Understanding Covariance TaperingBen Shaby, Minutes
12/04/2009Ancillary Sufficient Interweaving Scheme Murali Haran, Minutes
11/20/2009 Monte Carlo Strategies for Calibration in Climate Models David Matteson, Gabriel Huerta, Minutes
11/13/2009 RAMPS - an R package for complex spatiotemporal data Brian Smith, Kate Cowles, Minutes
11/06/2009 Parallel computing, Hierarchical Spatial Process Models Virgilio Gómez-Rubio, Sudipto Banerjee, Minutes
10/30/2009 Modeling Dynamic Controls on Ice Streams Noel Cressie, Minutes
10/23/2009 Covariance tapering, Petroleum applications Jo Eidsvik, Orietta Nicolis, Minutes
10/16/2009 Regional climate models Linder's Presentation , Minutes
10/09/2009 Parallel computing , S4 classes in R Blair's Presentation, Minutes
10/02/2009 High performance computing and dimension reduction Minutes
09/25/2009 Introductory meeting Minutes

Group members

E-mail alias for the group is sp-comp AT samsi.info.

Name Affiliation E-mail address
Renato Assuncao Universidade Federal de Minas Gerais assuncao AT est DOT ufmg DOT br
Soutir Bandyopadhyay Texas A&M University soutir AT stat DOT tamu DOT edu
Sudipto Banerjee University of Minnesota sudiptob AT biostat DOT umn DOT edu
Francisco M Beltran University of California Santa Cruz beltran63 AT gmail DOT com
K Sham Bhat Penn State kgb130 AT psu DOT edu
Lisha Chen Yale University lisha DOT chen AT yale DOT edu
James Christian EPA blair DOT christian AT gmail DOT com
Kate Cowles University of Iowa kcowles AT divms DOT uiowa DOT edu
Noel Cressie Ohio State University ncressie AT stat DOT osu DOT edu
Sourish Das SAMSI/Duke University sourish DOT das AT stat DOT duke DOT edu
Yiping Dou UBC Vancouver ydou AT stat DOT ubc DOT ca
David Dunson Duke University dunson AT stat DOT duke DOT edu
Marco Ferreira University of Missouri ferreiram AT missouri DOT edu
Andrew Finley Michigan State University finleya AT msu DOT edu
Virgilio Gomez-Rubio Virgilio DOT Gomez AT uclm DOT es
Cindy Greenwood Arizona State University pgreenw AT math DOT asu DOT edu
Michele Guindani University of New Mexico michele AT stat DOT unm DOT edu
Dorit Hammerling University of Michigan doritmh AT umich DOT edu
Murali Haran Penn State mharan AT stat DOT psu DOT edu
John Harlim New York University jharlim AT cims DOT nyu DOT edu
Zhuoqiong He University of Missouri hezh AT missouri DOT edu
Felix Hermann UBC Vancouver fherrmann AT eos DOT ubc DOT ca
Scott Holan University of Missouri holans AT missouri DOT edu
Gabriel Huerta University of New Mexico ghuerta AT stat DOT unm DOT edu
Monica Jackson monica AT drlady DOT com
Gardar Johannesson Lawrence Livermore National Laboratory gardar AT llnl DOT gov
Mikyoung Jun Texas A&M University mjun AT stat DOT tamu DOT edu
Karen Kafadar Indiana University kkafadar AT indiana DOT edu
Emily Kang Ohio State University lei AT stat DOT osu DOT edu
Matthias Katzfuss Ohio State University katzfuss AT stat DOT osu DOT edu
Bledar Konomi Texas A&M University alexandros AT stat DOT tamu DOT edu
Peter Kramer Rensselaer Polytechnic Institute kramep AT rpi DOT edu
Hans Kuensch Swiss Federal Institute of Technology kuensch AT stat DOT math DOT ethz DOT ch
Jaeyong Lee leejyc AT gmail DOT com
Michael Levine Purdue University mlevins AT purdue DOT edu
Ye Liang University of Missouri ye DOT liang AT mizzou DOT edu
Ernst Linder University of New Hampshire elinder AT unh DOT edu
Yajun Liu University of Missouri ylq89 AT mizzou DOT edu
Desheng Liu Ohio State University liu DOT 738 AT osu DOT edu
Hedibert Lopes University of Chicago hedibert DOT lopes AT chicagobooth DOT edu
Gabriele Martinelli Norwegian University of Science and Technology gabriele DOT martinelli AT math DOT ntnu DOT no
David Matteson Cornell University dm484 AT cornell DOT edu
Orietta Nicolis University of Bergamo, Italy orietta DOT nicolis AT unibg DOT it
Doug Nychka NCAR nychka AT ncar DOT edu
Esther Salazar SAMSI esalazar AT samsi DOT info
Bruno Sanso University of California Santa Cruz bruno AT ams DOT ucsc DOT edu
Benjamin Shaby SAMSI bshaby AT gmail DOT com
Brian Smith University of Iowa brian DASH j DASH smith AT uiowa DOT edu
Ron Smith Center for Ecology and Hydrology ris AT ceh DOT ac DOT uk
Ingelin Steinsland Norwegian University of Science and Technology ingelins AT math DOT ntnu DOT no
Dongchu Sun University of Missouri sund AT missouri DOT edu
Martin Tingley SAMSI martin DOT tingley AT gmail DOT com
Alejandro Villagran Rice University avillagran AT stat DOT rice DOT edu
Jay Wang NISS qqwjq9916 AT gmail DOT com
Chris Wikle University of Missouri wiklec AT missouri DOT edu
Chang Xu University of Missouri cx3z9 AT missouri DOT edu
Hongxia Yang Duke University firewater1984 AT gmail DOT com
Chengwei Yuan University of New Hampshire cw DOT yuan AT unh DOT edu
Jun Zhang University of Wisconsin jzhang AT stat DOT wisc DOT edu
James Zidek UBC Vancouver jim AT stat DOT ubc DOT ca
Jian Zou NISS frankzou AT niss DOT org
Xia Wang NISS xiawang AT niss DOT org

Reference list

Papers on climate models
  1. DeGaetano, A.T. (2006) Attribute of several methods for detecting discontinuities in mean temperature series. J. Climate, 14, 838-853.
  2. Caussinus, H. and Mestre, O. (2004) Detection and correction of artificial shifts in climate series. Applied Statistics, 53, 405-425.
  3. Della-Marta, P. M. and Wanner, H. (2006) A method for homogenizing the extremes and mean of daily temperature measurements. J. Climate, 19, 4179-4197. Click here
  4. Lu, Q., Lund, R. B., and Lee, T. C. (2009) An MDL approach to climate segmentation problem. Annals of Applied Statistics, In Press.
  5. Menne, M. J., and Williams, C. N. Jr. (2009) Homogenization of temperature series via pairwise comparisions. J. Climate, 22, 1700-1717
  6. Menne, M. J., Williams Jr, C. N. and Vose, R. S. (2009) The United States historical climatology network serial montly temperature data - Version 2. Bull. Amer. Metr. Soc., 90, 993-1007.
  7. Berliner, M., Cressie, N., Jesek, K., Kim, Y., Lam, C. Q., and van der Veen, C. J. (2008) Equilibrium dynamics of ice streams: a Bayesian statistical analysis. Statistical Methods and Applications, 17, 145-165. [pdf]
Papers on Spatial and Spatio-Temporal Models
  1. Johannesson, G., Cressie, N., and Huang, H.-C. (2007) Dynamic multi-resolution spatial models. Environmental and Ecological Statistics, 14, 5-25.
  2. Shi, T. and Cressie, N. (2007) Global statistical analysis of MISR aerosol data: A massive data product from NASA's Terra satellite. Environmetrics, 18, 665-680. Click here
  3. Cressie, N. and Johannesson, G. (2008). Fixed rank kriging for very large spatial data sets. Journal of the Royal Statistical Society, Series B, 70, 209-226.
  4. Zheng, Y., Zhu, J., and Li, D. (2008). Analyzing spatial panel data of cigarette demand: A Bayesian hierarchical modeling approach. Journal of Data Science, 6, 467-489 Click here
  5. Gelfand, A. E., Zhu, L., and Carlin, B. P. (2001) On the change of support problem for spatio-temporal data. Biostatistics 2, 1, pp 31-45. Click here
  6. Holan, S., Wang, S., Arab, A., Sadler, J.E., and Stone, K. (2008) Semiparametric Geographically Weighted Response Curves with Application to Site-Specific Agriculture, Journal of Agricultural, Biological, and Environmental Statistics Volume 13, Number 4, Pages 424–439 [ pdf]
  7. Finley, A. O., Banerjee, S., and McFarland, D. W., (2009) A hierarchical model for predicting forest variables over large heterogeneous domains. [pdf]
  8. Banerjee, S., Finley, A. O., Waldmann, P., Ericsson, T. (To Appear-2009) Hierarchical Spatial Process Models for Multiple Traits in Large Genetic Trials. Journal of the American Statistical Association [pdf]
Papers on Computation
  1. Holan, S., Davis, G., Wildhaber, M., DeLonay, A., & Papoulias, D. (2009) Hierarchical Bayesian Markov Switching Models with Application to Predicting Spawning Success of Shovelnose Sturgeon. Journal of the Royal Statistical Society - Series C. 58: 47–64. Click here
  2. Knaus, J., Porzelius, C., Binder, H., and Schwarzer, G (2009) “Easier Parallel Computing in R with snowfall and sfCluster” The R Journal, Current Issue, pp: 54-60 Click here
  3. Cornebise, J., Moulines, E. and Olsson, J. (2008), Adaptive methods for sequential importance sampling with application to state space models, Statistics and Computing, 18(4), 461–480. [bib | pdf ]
  4. Smith, B.J., Yan, J. and Cowles, M.K. (2008) Unified Geostatistical Modeling for Data Fusion and Spatial Heteroskedasticity with R package ramps. Journal of Statistical Software, 25(10), 1–21 Click here
  5. Cowles, M.K., Yan, J., Smith, B.J. (2009) Reparameterized and Marginalized Posterior and Predictive Sampling for Complex Bayesian Geostatistical Models. Journal of Computational and Graphical Statistics. 18(2): 262-282.
  6. Villegran, A., Huerta, G., Jackson C.S., Sen, M.K. Computational Methods for Parameter Estimation in Climate Models. Bayesian Analysis. 1(1), 1-27. [pdf]
  7. Yu, Y. and Meng, X., To Center or Not to Center: That is Not the Question —An Ancillarity-Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Efficiency. [pdf]

Software and Packages

  1. Analysis of spatial data using R Click here
  2. Time series analysis using R Click here
  3. “splancs” is an R package on spatial and space-time point pattern analysis. Click here.
  4. R packages on Bayesian inference Click here
  5. “RAMPS” is a new R package on unified Bayesian geostatistical modeling of complex spatiotemporal data. Read the news about the package in ISBA bulletin at page 12-15. Click here You can download the package from the following link. Click here

Data sites

  1. Atlantic Tropical Storm Tracking by Year Click here
  2. NOAA Hurricane track for Atlantic and East North Pacific basin Click here
  3. NCDC: Online Climate Data Directory Click here

Working groups dial-in & WebEx instructions

  1. Go to the email invitation that you received announcing the meeting, or go directly to WebEx: https://samsi.webex.com
  2. Click on the link for the meeting you want to join
    • Enter Your Name, Your Email Address and the meeting password from the email invitation
    • The first time you use WebEx, the Meeting Manager will run and it will take about a minute to setup.
    • Now you are in the meeting and can use all the features of WebEx.
  3. Dial the teleconference line: 919-685-9338
    • It is necessary to separately call into the given conference-line phone number to obtain audio interaction; we are not able to use WebEx for an audio connection. When calling in:
      • do not use a computer microphone or a speaker phone; this causes severe feedback in the system;
      • headphones and hand-held phones are fine.
    • If cost of telephone calls is an issue, consider using either Skype or JaJah to place your calls to the conference line; these are virtually free within North America, and (for example) only cost roughly 2 cents and 3 cents per minute, respectively, from Europe.
    • Please dial no earlier than 5 minutes prior to the start of the working group meeting.

Please note: You should be seeing the screen of the presenters. If not, please send a message or call for assistance. WebEx can run slowly on Unix machines.

If you are having trouble with WebEx or the Teleconference line please contact Sue McDonald (sue AT samsi DOT info, 919-685-9359) or James Thomas (help AT samsi DOT info, 919-685-9307).

You can learn more about WebEx and take tutorials at http://university.webex.com.

 
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