Papers

Preprints

• Second-order spatial analysis of shapes of tumor cell nuclei
• Rolled Gaussian process models for curves on manifolds
• Empirical likelihood for Fréchet means on open books
• Geometry-driven Bayesian inference for ultrametric covariance matrices
• Nonparametric regression for robot learning on manifolds
• Can tests for jumps be viewed as tests for clusters?
• Unsharp measurements, joint measurability and classical distributions for some qudits

Published

1. Spatial Shape Analysis of Cell Nuclei SIAM Journal of Life Sciences (2026)
2. Hybrid distance for classification of complex biological data based on Elastic shape analysis of curves and Topological Data Analysis of point clouds Edited volume on Big Data Analytics in Biostatistics and Bioinformatics (2026)
3. Regression graphs and sparsity-inducing reparametrizations Biometrika (2025)
4. Sampling and estimation on manifolds using the Langevin diffusion Journal of Machine Learning Research (2025)
5. Probabilistic size-and-shape functional mixed models Neural Information Processing Systems (NeurIPS) (2024)
6. Topo-geometric analysis of variability in point clouds using Persistence Landscapes IEEE Transactions on Pattern Analysis and Machine Intellingence (2024)
7. A diffusion approach to Stein's method on Riemannian manifolds Bernoulli (2024)
8. Classification of Bovidae fossils from Gladysvale, South Africa using elastic shape analysis Journal of Archaeological Science (2024)
9. Tumor radiogenomics in Gliomas with Bayesian layered variable selection Medical Image Analysis (2023)
10. Spatially penalised registration of multivariate functional data Spatial Statisics (2023)
11. Shape and structure preserving differential privacy Neural Information Processing Systems (NeurIPS) (2022)
12. Probabilistic learning of treatment trees in cancer Annals of Applied Statistics (2022)
13. Variograms for kriging and clustering of spatial functional data with phase variation Spatial Statistics (2022)
14. Differential privacy over Riemannian manifolds Neural Information Processing Systems (NeurIPS) (2021)
15. Tangent functional canonical correlation analysis for densities and shapes, with applications to multimodal imaging data Journal of Multivariate Analysis (2022)
16. Joint quasiprobability distribution on the measurement outcomes of MUB-driven operators Physics Letters A (2021)
17. Radiogenomic analysis incorporating tumor heterogeneity in imaging through densities Annals of Applied Statistics (2021)
18. Bayesian framework for simultaneous registration and estimation of noisy, sparse and fragmented functional data Journal of the American Statistical Association (2021+)
19. Shape-based classification of partially observed curves, with applications to anthropology Frontiers in Applied Mathematics and Statistics (2021)
20. Geometric empirical Bayesian model for classification of functional data underdiverse sampling regimes IEEE CVPR DiffCVML2021 (2021)
21. Discussion on 'On a class of objective priors from scoring rules' Bayesian Analysis (2020)
22. Measure of polymer performance based on correlated physical parameters Journal of Applied Polymer Science (2021)
23. Analysis of shape data: From landmarks to elastic curves WIREs Computational Statistics (2020)
24. Biomedical applications of geometric functional data analysis In Handbook on variational methods for nonlinear geometric data (2020)
25. Distribution on warp maps for alignment of open and closed curves Journal of the American Statistical Association (2020) [talk]
26. Geometric variational approach to Bayesian inference Journal of the American Statistical Association (2020)
27. Invariance and identifiability issues for word embeddings Neural Information Processing Systems (NeurIPS) (2019) [talk]
28. Mutually disjoint, maximally commuting set of physical observables for optimum state determination Physica Scripta (2019)
29. Radiologic image-based statistical shape analysis of brain tumors Journal of the Royal Statistical Society (Series C) (2018) [talk]
30. Statistical tests for large tree-structured data Journal of the American Statistical Association (2017) [talk]
31. Geometric approach to visualization of variability in functional data Journal of the American Statistical Association (2017) [talk]
32. Multiaxial Representation of N-qubit Mixed Symmetric Separable States Physical Review A (2017)
33. Invited discussion on 'Sparse graphs using exchangeable random measures' Journal of the Royal Statistical Society (Series B) (2017)
34. POVM construction: A simple recipe with applications to symmetric states International Journal of Quantum Information (2017)
35. DEMARCATE: Density-based Magnetic Resonance Image Clustering for Assessing Tumor Heterogeneity in Cancer NeuroImage (2016) [talk]
36. Functional data analysis techniques for the study of structural parameters in polymer composites Journal of Applied Crystallography (2016)
37. Bayesian sensitivity analysis with Fisher-Rao metric Biometrika (2015) [talk]
38. Spacings around an order statistic Annals of the Institute of Statistical Mathematics (2015)
39. On a clustering criterion for dependent observations Journal of Statistical Planning and Inference (2014)
40. Asymptotics of a clustering criterion for smooth distributions Electronic Journal of Statistics (2013)
41. Asymptotics of the Empirical Cross-over Function Annals of the Institute of Statistical Mathematics (2013)
42. A note on density estimation for binary sequences Statistics and Probability Letters (2013)
43. Test to distinguish a brownian motion from a brownian bridge using Polya process Statistics and Probability Letters (2011)