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Basic information

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Announcements

  1. Our next meeting (March 24) will be in room 150 (not the usual room !). Michele will be presenting some of his work on mixtures.
  2. November 11, 2009: Updated list of members in the subgroups.
  3. November 4, 2009: Subgroups within the working group.
  4. We've made a location change to room 104.

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
09/17/2009 Organizational meeting
09/30/2009
09/30/2009 Process mixtures
10/28/2009 Formation of subgroups Meeting notes
11/04/2009 Spectral representation and
covariates in covariances
Subgroups
11/11/2009 LMMs and precip data
11/18/2009 subgroup meetings

Group members

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

Name Affiliation E-mail address
Soutir Bandyopadhyay soutir AT stat DOT tamu DOT edu
Mark Berliner mb AT stat DOT osu DOT edu
Candace Berrett cberrett AT stat DOT osu DOT edu
Veronica Berrocal vjb2 AT stat DOT duke DOT edu
Kate Calder calder AT stat DOT osu DOT edu
Lisha Chen lisha.chen AT yale DOT edu
James Christian blair.christian AT gmail DOT com
Dipak Dey dipak.dey AT uconn DOT edu
David Dunson dunson AT stat DOT duke DOT edu
Jo Eidsvik joeid AT math DOT ntnu DOT no
Montserrat Fuentes fuentes AT stat DOT ncsu DOT edu
Virgilio Gomez-Rubio Virgilio.Gomez AT uclm DOT es
Cindy Greenwood pgreenw AT math DOT asu DOT edu
Michele Guindani michele AT stat DOT unm DOT edu
Radu Herbei herbei AT stat DOT osu DOT edu
Scott Holan holans AT missouri DOT edu
David Holland holland.david AT epa DOT gov
Katja Ickstadt ickstadt AT statistik.tu-dortmund DOT de
Mikyoung Jun mjun AT stat DOT tamu DOT edu
Karen Kafadar kkafadar AT indiana DOT edu
Emily Kang lei AT stat DOT osu DOT edu
Matthias Katzfuss katzfuss AT stat DOT osu DOT edu
Dave Kessler dkessler AT bios DOT unc DOT edu
Bledar Konomi alexandros AT stat DOT tamu DOT edu
Jaeyong Lee leejyc AT gmail DOT com
Linyuan Li linyuan AT math DOT unh DOT edu
Crystal Linkletter Crystal_Linkletter AT brown DOT edu
Ran Liu ran.liu AT uconn DOT edu
Kenny Lopiano klopiano AT ufl DOT edu
Orietta Nicolis orietta.nicolis AT inibg DOT it
Garritt Page page AT stat DOT duke DOT edu
Gavino Puggioni gavino AT email DOT unc DOT edu
Huiyan Sang huiyan AT stat DOT tamu DOT edu
Alexandra Schmidt alex AT im DOT ufrj DOT br
Benjamin Shaby bshaby AT gmail DOT com
Gunter Spöck gunter.spoeck AT uni-klu DOT ac DOT at
Michael Stein stein AT galton DOT uchicago DOT edu
Robert Wolpert wolpert AT stat DOT duke DOT edu
Yimin Xiao xiao AT stt DOT msu DOT edu
Linda Young LJYoung AT ufl DOT edu
Jing Zhang zhangj8 AT muohio DOT edu
Yangyuan Zhu zhuz AT iastate DOT edu

Reference list

  1. Calder, C. (2008), A dynamic process convolution approach to modeling ambient particulate matter concentrations. Environmetrics, 19, 39–48. pdf
  2. Fuentes, M. (2002), Spectral methods for nonstationary spatial processes, Biometrika, 89(1), 197–210. [pdf]
  3. Fuentes, M. (2005), A formal test for nonstationarity of spatial stochastic processes, Journal of Multivariate Analysis, 96(1), 30–55. [pdf]
  4. Fuentes, M., Reich, B., and Lee, G. (2008), Spatio-temporal mesoscale modeling of rainfall intensity using gage and radar data. Annals of Applied Statistics, 2(4), 1148–1169. [pdf]
  5. Fuentes, M., and Smith, R. (2001). A new class of nonstationary spatial models. pdf
  6. Kim, H.-M., Mallick, B. K., and Holmes, C. C. (2005). Analyzing nonstationary spatial data using piecewise Gaussian processes, Journal of the American Statistical Association, 100, 653-668 pdf.
  7. Matsuda, Y. and Yajima, Y. (2009). Fourier analysis of irregularly spaded data on R^d, Journal of the Royal Statistical Society Series B., 71(1), 191–217. [pdf]
  8. Paciorek, C.J. and Schervish, M.J. (2006). Spatial modelling using a new class of nonstationary covariance functions, Environmetrics, 17(5), 483–506. [pdf]
  9. Pintore, A. and Holmes, C. (2007), Spatially adaptive non-stationary covariance functions via spatially adaptive spectra, Tech report, University of Oxford. [pdf]
  10. Sampson, P. D. and Guttorp, P. (1992). Nonparametric estimation of nonstationary spatial covariance structure, Journal of the American Statistical Association, 87, 108–119 pdf
  11. Schmidt, A. M. and O'Hagan, A. (2003). Bayesian inference for non-stationary spatial covariance structure via spatial deformations, Journal of the Royal Statistical Society Ser. B., 65, 743-758 pdf
  12. Spöck, G. and Pilz, J. (2008), Non-stationary spatial modeling using harmonic analysis, Proceedings of the Eight International Geostatistics Congress, J.M. Ortiz and X. Emery (eds.), Gecamin Ltd., Santiago, Chile, 389–398. [pdf]
  13. VerHoef, J. M., Peterson, E., and Theobald, D. (2006). Spatial statistical models that use flow and stream distance. Environmental and Ecological Statistics, 13, 449-464. pdf
  14. Wolpert, R.L., Clyde, M.A., and Tu, C (2009). Levy Adaptive Regression Kernels, submitted somewhere. [pdf]
Process Mixtures
  1. Chung, Y. and Dunson, D. (2009), Nonparametric Bayes conditional distribution modeling with variable selection, JASA(??). [pdf]
  2. Duan, J.A., Guindani, M., and Gelfand, A.E. (2007), Generalized spatial Dirichlet process models, Biometrika, 94(4), 809–825. [pdf]
  3. Dunson, D.B. and Park, J. (2008), Kernel stick-breaking processes, Biometrika, 95(2), 307–323. [pdf]
  4. Gelfand, A.E., Kottas, A., and MacEachern, S.N. (2005), Bayesian nonparametric spatial modeling with Dirichlet process mixing, Journal of the American Statistical Association, 100(471), 1021–1035. [pdf]
  5. Kottas, A., Duan, J.A., and Gelfand, A.E. (2008), Modeling disease indidence data with spatial and spatio-temporal Dirichlet process mixtures, Biometrical Journal, 50(1), 29–41. [pdf]
  6. Petrone, S., Guindani, M., and Gelfand, A.E. (2009), Hybrid Dirichlet mixture models for functional data, Journal of the Royal Statistical Society series B, 71, 755–782. [pdf]

Other Documents

  1. Michael Stein's conjecture regarding equivalence classes of non-stationary Gaussian measures [pdf]
  2. Montse Fuentes's presentation on a spectral representation that allows parameters to vary in space [pdf]
  3. Gunter Spöck's presentation on non-stationary spectral representations, GLMMs and spatial design [pdf]
  4. Orietta Nicolis's presentation on multi-resolution wavelet constructions [pdf]

Data sites

  1. Data site #1

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: 919-685-9366
    • 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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