Alexander Petersen
Alexander Petersen
Assistant Professor of Statistics, University of California Santa Barbara
Verified email at
Cited by
Cited by
Basketball teams as strategic networks
JH Fewell, D Armbruster, J Ingraham, A Petersen, JS Waters
PloS one 7 (11), e47445, 2012
Functional data analysis for density functions by transformation to a Hilbert space
A Petersen, HG Müller
The Annals of Statistics 44 (1), 183-218, 2016
Fréchet regression for random objects with Euclidean predictors
A Petersen, HG Müller
The Annals of Statistics 47 (2), 691-719, 2019
Blood pressure variability predicts poor in-hospital outcome in spontaneous intracerebral hemorrhage
AA Divani, X Liu, M Di Napoli, S Lattanzi, W Ziai, ML James, A Jafarli, ...
Stroke 50 (8), 2023-2029, 2019
Quantifying infinite-dimensional data: Functional data analysis in action
K Chen, X Zhang, A Petersen, HG Müller
Statistics in Biosciences 9 (2), 582-604, 2017
Forecasting of density functions with an application to cross-sectional and intraday returns
P Kokoszka, H Miao, A Petersen, HL Shang
International Journal of Forecasting 35 (4), 1304-1317, 2019
Wasserstein covariance for multiple random densities
A Petersen, HG Müller
Biometrika 106 (2), 339-351, 2019
Fréchet integration and adaptive metric selection for interpretable covariances of multivariate functional data
A Petersen, HG Müller
Biometrika 103 (1), 103-120, 2016
Exploration of multiparameter hematoma 3D image analysis for predicting outcome after intracerebral hemorrhage
P Salazar, M Di Napoli, M Jafari, A Jafarli, W Ziai, A Petersen, SA Mayer, ...
Neurocritical care 32 (2), 539-549, 2020
The magnitude of blood pressure reduction predicts poor in-hospital outcome in acute intracerebral hemorrhage
AA Divani, X Liu, A Petersen, S Lattanzi, CS Anderson, W Ziai, MT Torbey, ...
Neurocritical care 33 (2), 389-398, 2020
Wasserstein -tests and confidence bands for the Fréchet regression of density response curves
A Petersen, X Liu, AA Divani
The Annals of Statistics 49 (1), 590-611, 2021
Fréchet estimation of time-varying covariance matrices from sparse data, with application to the regional co-evolution of myelination in the developing brain
A Petersen, S Deoni, HG Müller
The Annals of Applied Statistics 13 (1), 393-419, 2019
Hypothesis testing for Fourier based edge detection methods
A Petersen, A Gelb, R Eubank
Journal of Scientific Computing 51 (3), 608-630, 2012
Density estimation including examples
HG Müller, A Petersen
Wiley StatsRef: Statistics Reference Online, 1-12, 2016
Wasserstein autoregressive models for density time series
C Zhang, P Kokoszka, A Petersen
Journal of Time Series Analysis, 2021
Histogram-based models on non-thin section chest CT predict invasiveness of primary lung adenocarcinoma subsolid nodules
A Oikonomou, P Salazar, Y Zhang, DM Hwang, A Petersen, AA Dmytriw, ...
Scientific reports 9 (1), 1-11, 2019
Blood pressure variability: A new predicting factor for clinical outcomes of intracerebral hemorrhage
S Andalib, S Lattanzi, M Di Napoli, A Petersen, J Biller, T Kulik, E Macri, ...
Journal of Stroke and Cerebrovascular Diseases 29 (12), 105340, 2020
Distributionally robust formulation and model selection for the graphical lasso
P Cisneros-Velarde, A Petersen, SY Oh
International Conference on Artificial Intelligence and Statistics, 756-765, 2020
Quantifying and visualizing intraregional connectivity in resting-state functional magnetic resonance imaging with correlation densities
A Petersen, CJ Chen, HG Müller
Brain connectivity 9 (1), 37-47, 2019
Fréchet regression for random objects
A Petersen, H Muller
Ann. Statist, 2018
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