Broadly speaking, mathematical statistics motivated by/applied to the natural sciences. In particular:


Descary, M.-H. & Panaretos, V.M. (2017).
Recovering Covariance from Functional Fragments.

Chakraborty, A. & Panaretos, V.M. (2017).
Functional Registration and Local Variations.

Zemel, Y. & Panaretos, V.M. (2016).
Fréchet Means in Wasserstein Space: Gradient Descent and Procrustes Analysis..
Under revision.

Wei, S. & Panaretos, V.M. (2015).
A Delta Method for Empirical Evolution Equations.

Chakraborty, A. & Panaretos, V.M. (2015).
Hybrid Regularisation of Functional Linear Models.

Pham, T. & Panaretos, V.M. (2016).
Methodology and Convergence Rates for Functional Time Series Regression..
Statistica Sinica (Special Issue in Memory of Peter Hall), to appear.

Descary, M.-H. & Panaretos, V.M. (2015).
Functional Data Analysis by Matrix Completion.
Annals of Statistics, to appear.

Tavakoli, S. & Panaretos, V.M. (2016).
Detecting and Localizing Differences in Functional Time Series Dynamics: A Case Study in Molecular Biophysics.
Journal of the American Statistical Association (Applications and Case Studies), 111 (515): 1020-1035.

Panaretos, V.M. & Zemel, Y. (2016).
Amplitude and Phase Variation of Point Processes.
Annals of Statistics, 44 (2): 771-812.

Kuusela, M. & Panaretos, V.M. (2015).
Statistical Unfolding of Elementary Particle Spectra: Empirical Bayes Estimation and Bias-Corrected Uncertainty Quantification.
Annals of Applied Statistics, 9 (3): 1671-1705.

Panaretos, V.M., Pham, T. & Yao, Z. (2014).
Principal Flows.
Journal of the American Statistical Association (Theory and Methods), 109 (505): 424-436.

Kraus, A. & Panaretos, V.M. (2014).
Frequentist Estimation of an Epidemic's Spreading Potential When Observations Are Scarce.
Biometrika, 101 (1): 141-154.

Panaretos, V.M. & Tavakoli, S. (2013).
Cramér-Karhunen-Loève Representation and Harmonic Principal Component Analysis of Functional Time Series.
Stochastic Processes and their Applications, 123 (7), 2779-2807..

(Invited Contribution, Special Issue on the Occasion of the 2013 International Year of Statistics)

Panaretos, V.M. & Tavakoli, S. (2013).
Fourier Analysis of Stationary Time Series in Function Space.
Annals of Statistics, 41 (2): 568-603.

[Supplementary material (34 pages), Annals of Statistics (2013)]

Kraus, D. & Panaretos, V.M. (2012).
Dispersion Operators and Resistant Second-Order Analysis of Functional Data.
Biometrika, 99 (4): 813-832.

[Supplementary material (8 pages), Biometrika (2012)]

Panaretos, V.M. & Konis, K. (2012).
Nonparametric Construction of Multivariate Kernels.
Journal of the American Statistical Association (Theory and Methods), 107 (499): 1085-1095.

Kvitkovicova, A. & Panaretos, V.M. (2011).
Asymptotic Inference for Partially Observed Branching Processes.
Advances in Applied Probability, 43 (4): 1166-1190 .

Panaretos, V.M. & Konis, K. (2011).
Sparse Approximations of Protein Structure given Noisy Random Projections.
Annals of Applied Statistics, 5 (4): 2572-2602.

Panaretos, V.M. (2011).
A Conversation with David R. Brillinger.
Statistical Science, 26 (3): 440-469.

Panaretos, V.M., Kraus, D. & Maddocks, J.H. (2010).
Second-Order Comparison of Gaussian Random Functions and the Geometry of DNA Minicircles.
Journal of the American Statistical Association (Theory and Methods), 105 (490): 670-682.

[Supplementary material (19 pages), Journal of the American Statistical Association (2010)]

Panaretos, V.M. (2009).
On Random Tomography with Unobservable Projection Angles.
Annals of Statistics, 37 (6): 3272-3306.

Panaretos, V.M. (2008).
Representation of Radon Shape Diffusions via Hyperspherical Brownian Motion.
Mathematical Proceedings of the Cambridge Philosophical Society, 145 (2): 457-470.

Panaretos, V.M. (2007).
Partially Observed Branching Processes for Stochastic Epidemics.
Journal of Mathematical Biology, 54 (5): 645-668.

Panaretos, V.M. (2006).
The Diffusion of Radon Shape.
Advances in Applied Probability (SGSA), 38 (2): 320-335.

Book Chapters

Panaretos, V.M. (2011).
Commentary on David R. Brillinger's Theoretical Papers.
In The Selected Works of D.R. Brillinger (P. Guttorp, editor), Springer, NY.

Refereed Conference Proceedings

Panaretos, V.M. (2011).
A Statistician's View on Deconvolution and Unfolding.
In Proceedings of the PHYSTAT 2011Workshop on Statistical Issues Related to Discovery Claims in Search Experiments and Unfolding (H.B. Prosper, L. Lyons, editors), CERN, Geneva.