Victor M. Panaretos, Ph.D.
Affiliations: | 2007 | University of California, Berkeley, Berkeley, CA, United States |
Area:
time seriesGoogle:
"Victor Panaretos"Parents
Sign in to add mentor| David R. Brillinger | grad student | 2007 | UC Berkeley | |
| (Inverse problems, stochastic geometry, structural biology.) | ||||
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Publications
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| Delaigle A, Meister A, Panaretos V, et al. (2020) Statistical Methodology and Theory for Functional and Topological Data Oberwolfach Reports. 16: 1697-1735 |
| Rubín T, Panaretos VM. (2020) Sparsely observed functional time series: estimation and prediction Electronic Journal of Statistics. 14: 1137-1210 |
| Rubin T, Panaretos VM. (2020) Functional Lagged Regression with Sparse Noisy Observations Journal of Time Series Analysis |
| Descary M, Panaretos VM. (2019) Functional data analysis by matrix completion Annals of Statistics. 47: 1-38 |
| Descary M, Panaretos VM. (2019) Recovering covariance from functional fragments Biometrika. 106: 145-160 |
| Pham T, Panaretos V. (2018) Methodology and Convergence Rates for Functional Time Series Regression Statistica Sinica |
| Panaretos VM, Zemel Y. (2016) Amplitude and phase variation of point processes Annals of Statistics. 44: 771-812 |
| Tavakoli S, Panaretos VM. (2016) Detecting and Localizing Differences in Functional Time Series Dynamics: A Case Study in Molecular Biophysics Journal of the American Statistical Association. 111: 1020-1035 |
| Kuusela M, Panaretos VM. (2015) Statistical unfolding of elementary particle spectra: Empirical bayes estimation and bias-corrected uncertainty quantification Annals of Applied Statistics. 9: 1671-1705 |
| Kraus A, Panaretos VM. (2014) Frequentist estimation of an epidemic's spreading potential when observations are scarce Biometrika. 101: 141-154 |