Armin Schwartzman, Ph.D.

Affiliations: 
2006 Stanford University, Palo Alto, CA 
Area:
Statistics, Neuroimaging
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Jonathan E. Taylor grad student 2006 Stanford
 (Random ellipsoids and false discovery rates: Statistics for diffusion tensor imaging data.)
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Publications

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Schwartzman A, Dougherty RF, Taylor JE. (2022) Group Comparison of Eigenvalues and Eigenvectors of Diffusion Tensors. Journal of the American Statistical Association. 105: 588-599
Bowring A, Telschow F, Schwartzman A, et al. (2019) Spatial confidence sets for raw effect size images. Neuroimage. 116187
Schwartzman A, Telschow F. (2019) Peak p-values and false discovery rate inference in neuroimaging. Neuroimage
Pranav P, Adler RJ, Buchert T, et al. (2019) Unexpected topology of the temperature fluctuations in the cosmic microwave background Astronomy & Astrophysics. 627: A163
Duque JC, Buzzelli A, Fantaye Y, et al. (2019) Point source detection and false discovery rate control on CMB maps Astronomy and Computing. 28: 100310
Cheng D, Schwartzman A. (2018) Expected Number and Height Distribution of Critical Points of Smooth Isotropic Gaussian Random Fields. Bernoulli : Official Journal of the Bernoulli Society For Mathematical Statistics and Probability. 24: 3422-3446
Sommerfeld M, Sain S, Schwartzman A. (2018) Confidence regions for spatial excursion sets from repeated random field observations, with an application to climate. Journal of the American Statistical Association. 113: 1327-1340
Li M, Schwartzman A. (2018) Standardization of multivariate Gaussian mixture models and background adjustment of PET images in brain oncology The Annals of Applied Statistics. 12: 2197-2227
Cheng D, Schwartzman A. (2017) MULTIPLE TESTING OF LOCAL MAXIMA FOR DETECTION OF PEAKS IN RANDOM FIELDS. Annals of Statistics. 45: 529-556
Kachouie NN, Lin X, Schwartzman A. (2017) FDR control of detected regions by multiscale matched filtering. Communications in Statistics: Simulation and Computation. 46: 127-144
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