David S. Stoffer

Affiliations: 
University of Pittsburgh, Pittsburgh, PA, United States 
Area:
Statistics, Biostatistics Biology
Google:
"David Stoffer"
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Krafty RT, Rosen O, Stoffer DS, et al. (2017) Conditional Spectral Analysis of Replicated Multiple Time Series with Application to Nocturnal Physiology. Journal of the American Statistical Association. 112: 1405-1416
Krafty RT, Xiong S, Stoffer DS, et al. (2012) Enveloping Spectral Surfaces: Covariate Dependent Spectral Analysis of Categorical Time Series. Journal of Time Series Analysis / a Journal Sponsored by the Bernoulli Society For Mathematical Statistics and Probability. 33: 797-806
Stoffer DS, Ombao H. (2012) Editorial: Special issue on time series analysis in the biological sciences Journal of Time Series Analysis. 33: 701-703
Rosen O, Wood S, Stoffer DS. (2012) AdaptSPEC: Adaptive spectral estimation for nonstationary time series Journal of the American Statistical Association. 107: 1575-1589
Stoffer DS. (2012) Frequency Domain Techniques in the Analysis of DNA Sequences Handbook of Statistics. 30: 261-295
Stoffer DS, Han S, Qin L, et al. (2010) Smoothing spline ANOPOW Journal of Statistical Planning and Inference. 140: 3789-3796
Rosen O, Stoffer DS, Wood S. (2009) Local spectral analysis via a bayesian mixture of smoothing splines Journal of the American Statistical Association. 104: 249-262
Kim J, Stoffer DS. (2008) Fitting stochastic volatility models in the presence of irregular sampling via particle methods and the em algorithm Journal of Time Series Analysis. 29: 811-833
Koru-Sengul T, Stoffer DS, Day NL. (2007) A residuals-based transition model for longitudinal analysis with estimation in the presence of missing data. Statistics in Medicine. 26: 3330-41
Rosen O, Stoffer DS. (2007) Automatic estimation of multivariate spectra via smoothing splines Biometrika. 94: 335-345
See more...