Stoffer's Upright Home Page

everything you wanted to know about me without having to ask

... and some links and publications, too!

• the department
• time series text
• some papers
• my calendar
• a latex page
• the university

Personal Info

David Brillinger, Brani Vidakovic, Pedro Morettin and me (the young one) Campos do Jordão, Brazil, June, 2007.

David S. Stoffer is a Professor in the Department of Statistics . He also has a courtesy appointment in the Department of Biostatistics. This all takes place at the University of Pittsburgh.

Mailing address:
   David S. Stoffer
   Department of Statistics
   University of Pittsburgh
   Pittsburgh, PA 15260
   USA

Phone: [412] 624-8496
Fax: [412] 648-8814
Email:
Calendar

Some Papers

• Website for Time Series Analysis and Its Applications: With R Examples (Edition 2) by R.H. Shumway and D.S. Stoffer. Springer Texts in Statistics, 2006.

  You unlock this door with the key of imagination. Beyond it is another dimension... a dimension of sound, a dimension of sight, a dimension of mind. You're moving into a land of both shadow and substance, of things and ideas. You've just crossed over into... T i M e   S e R i e S   a N a L y S i S

• A Stochastic Volatility Mixture Model: Estimation in the Presence of Irregular Sampling via Particle Methods and the EM Algorithm (with J. Kim - based on her dissertation). svmm.pdf
  

  The Matlab programs are also available as a pdf file for ease of reading and as an ascii file.

• Automatic Estimation of Multivariate Spectra via Smoothing Splines (with O. Rosen). Biometrika, 94, 335-345, 2007. multspec.pdf

• A Residuals-Based Transition Model for Longitudinal Analysis with Estimation in the Presence of Missing Data (with T. Koru-Sengul - based on her dissertation). Statistics in Medicine 26, 3330-3341, 2007. tmla.pdf

  The code for SAS, Splus and R.

• Discrimination and Classification of Nonstationary Time Series using the SLEX Model (with H-Y Huang & H. Ombao - based on Huang's dissertation): the article and the tech report (the tech report has detailed proofs). Journal of the American Statistical Association, 99, 763-774, 2004.

  The Matlab programs are also available here.

• Resampling in State Space Models (booty.pdf) Chapter 9 (pp. 171-202) of State Space and Unobserved Component Models: Theory and Applications. Cambridge University Press, 2004.

• Local Spectral Envelope: An Approach Using Dyadic Tree Based Adaptive Segmentation (with H. Ombao and D.E. Tyler). Annals of the Institute of Statistical Mathematics, 54, 201-223, 2002. lospen.pdf

• Nonparametric Frequency Detection and Optimal Coding in Molecular Biology: nfdoc.pdf In Modeling Uncertainty, 129-154, Internat. Ser. Oper. Res. Management Sci., 46, Kluwer Acad. Publ., Boston, MA, 2002.

• The Spectral Envelope and Its Applications (with D.E. Tyler & D.A. Wendt). Statistical Science. 15(3): 224-253 (2000). specrev.pdf

• Stoffer, D.S. (1999). Detecting common signals in multiple time series using the spectral envelope. Journal of the American Statistical Association, 94, 1341-1356. sigs.pdf

• Stoffer, D.S. & Tyler, D.E. (1998). Matching sequences: Cross spectral analysis of categorical time series. Biometrika, 85, 201-213. match.pdf

• McDougall, A.J., Stoffer, D.S. & Tyler, D.E. (1997). Optimal transformations and the spectral envelope for real-valued time series. Journal of Statistical Planning and Inference, 57, 195-214. mst97.pdf

• Stoffer, D.S., Tyler, D.E. & McDougall, A.J. (1993). Spectral analysis for categorical time series: Scaling and the spectral envelope. Biometrika, 80, 611-622. spenv.pdf

• Stoffer, D.S. (1991). Walsh-Fourier analysis and its statistical applications (with discussion). Journal of the American Statistical Association, 86, 462-483. walshapps.pdf

  wft.for Fortran program to calculate the finite Walsh transform.

• Stoffer, D.S., Scher, M., Richardson, G., Day, N. & Coble, P. (1988). A Walsh- Fourier analysis of the effects of moderate maternal alcohol consumption on neonatal sleep-state cycling. Journal of the American Statistical Association, 83, 954-963. Find it here (JSTOR).

  Here are the data files: group1 and group2; details are in the first file. This paper won the American Statistical Association's Outstanding Statistical Application Award for 1989. The theory for this paper was given in Stoffer (1987)... just below:

• Stoffer, D.S. (1987). Walsh-Fourier analysis of discrete-valued time series. Journal of Time Series Analysis, 8, 449-467. discrete.pdf

• Stoffer, D.S. (1990). Multivariate Walsh-Fourier Analysis. Journal of Time Series Analysis, 11, 57-73.

  I've been asked for the data from this a few times, so here they are: slpmv1.dat,  slpmv2.dat. The data files are similar to the sleep state data files with an additional column of the per minute number of movements.

• Shumway, R.H. & Stoffer, D.S. (1992). Dynamic linear models with switching. Journal of the American Statistical Association, 86, 763-769. dlmws.pdf

• Shumway, R.H. & Stoffer, D.S. (1982). An approach to time series smoothing and forecasting using the EM algorithm. Journal of Time Series Analysis, 3, 253-264. em.pdf

  R code for the algorithm can be found at the website for the second editon of our text. We still get many requests for the tech report corresponding to this paper. Unfortunately, the tech reports are long gone (believe it or not, in those days people typed their papers using an IBM selectric typewriter with little balls that had to be changed for math symbols). Fortunately, the details of the proofs (in more depth than was given in the tech report) are presented in our text in Sections 6.2 to 6.4 (Sections 4.2 to 4.4 in Edition 1).

• Carlin, B.P., Polson, N.G. & Stoffer, D.S. (1992). A Monte Carlo approach to nonnormal and nonlinear state space modeling. Journal of the American Statistical Association, 87, 493-500. gibbs.pdf

• Stoffer, D.S. (1986). Estimation and identification of space-time ARMAX models in the presence of missing data. Journal of the American Statistical Association, 81, 762-772. starmax.pdf

  The data (details in the 1st file): cpue1.dat,  cpue2.dat,  cpue3.dat,  cpue4.dat,  cpue5.dat 
  

• Stoffer, D.S. & Wall, K. (1991). Bootstrapping state space models: Gaussian maximum likelihood estimation and the Kalman filter. Journal of the American Statistical Association, 86, 1024-1033. boots.pdf

  This material is discussed in Chapter 6 of Shumway & Stoffer (2006). Some R code and examples can be found at the website for the second editon of the text. An implementation of the algorithm for Gauss TSM users can be found here.

• ...some info for my med school friends- all the Stoffers listed are me, except for #4

That's all Folks!