Joerg Polzehl
Joerg Polzehl
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Adaptive weights smoothing with applications to image restoration
J Polzehl, VG Spokoiny
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2000
Propagation-separation approach for local likelihood estimation
J Polzehl, V Spokoiny
Probability Theory and Related Fields 135, 335-362, 2006
Structure adaptive approach for dimension reduction
M Hristache, A Juditsky, J Polzehl, V Spokoiny
Annals of Statistics, 1537-1566, 2001
Simultaneous bootstrap confidence bands in nonparametric regression
MH Neumann, J Polzehl
Journal of Nonparametric Statistics 9 (4), 307-333, 1998
On bandwidth choice in nonparametric regression with both short-and long-range dependent errors
P Hall, SN Lahiri, J Polzehl
The Annals of Statistics 23 (6), 1921-1936, 1995
Functional MRI of the zebra finch brain during song stimulation suggests a lateralized response topography
HU Voss, K Tabelow, J Polzehl, O Tchernichovski, KK Maul, ...
Proceedings of the National Academy of Sciences 104 (25), 10667-10672, 2007
Analyzing fMRI experiments with structural adaptive smoothing procedures
K Tabelow, J Polzehl, HU Voss, V Spokoiny
NeuroImage 33 (1), 55-62, 2006
Diffusion tensor imaging: structural adaptive smoothing
K Tabelow, J Polzehl, V Spokoiny, HU Voss
NeuroImage 39 (4), 1763-1773, 2008
Image denoising: pointwise adaptive approach
J Polzehl, V Spokoiny
The Annals of Statistics 31 (1), 30-57, 2003
Position-orientation adaptive smoothing of diffusion weighted magnetic resonance data (POAS)
SMA Becker, K Tabelow, HU Voss, A Anwander, RM Heidemann, ...
Medical image analysis 16 (6), 1142-1155, 2012
Local likelihood modeling by adaptive weights smoothing
J Polzehl, V Spokoiny
Model selection, transformations and variance estimation in nonlinear regression
O Bunke, B Droge, J Polzehl
Statistics: A Journal of Theoretical and Applied Statistics 33 (3), 197-240, 1999
Adaptive smoothing of multi-shell diffusion weighted magnetic resonance data by msPOAS
SMA Becker, K Tabelow, S Mohammadi, N Weiskopf, J Polzehl
Neuroimage 95, 90-105, 2014
Adaptive smoothing of digital images: The R package adimpro
J Polzehl, K Tabelow
Los Angeles, Calif.: UCLA, Dept. of Statistics, 2007
Statistical parametric maps for functional MRI experiments in R: The package fmri
K Tabelow, J Polzehl
Journal of Statistical Software 44, 1-21, 2011
Projection pursuit discriminant analysis
J Polzehl
Computational statistics & data analysis 20 (2), 141-157, 1995
Structural adaptive segmentation for statistical parametric mapping
J Polzehl, HU Voss, K Tabelow
NeuroImage 52 (2), 515-523, 2010
High-resolution fMRI: Overcoming the signal-to-noise problem
K Tabelow, V Piëch, J Polzehl, HU Voss
Journal of Neuroscience Methods 178 (2), 357-365, 2009
Image analysis and statistical inference in neuroimaging with R
K Tabelow, JD Clayden, PL De Micheaux, J Polzehl, VJ Schmid, ...
NeuroImage 55 (4), 1686-1693, 2011
fmri: A Package for Analyzing fmri Data
J Polzehl, K Tabelow
RNews 7 (2), 13-17, 2007
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Artículos 1–20