Papers

• Regression graphs and sparsity-inducing reparametrizations
• Geometry-driven Bayesian inference for ultrametric covariance matrices
• Sampling and estimation on manifolds using the Langevin diffusion
• 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

1. Probabilistic size-and-shape functional mixed models
   Neural Information Processing Systems (NeurIPS)(2024)


2. Topo-geometric analysis of variability in point clouds using Persistence Landscapes
   IEEE Transactions on Pattern Analysis and Machine Intellingence (2024)


3. A diffusion approach to Stein's method on Riemannian manifolds
   Bernoulli(2024)


4. Tumor radiogenomics in Gliomas with Bayesian layered variable selection
   Medical Image Analysis(2023)


5. Spatially penalised registration of multivariate functional data
   Spatial Statisics(2023)


6. Shape and structure preserving differential privacy
   Neural Information Processing Systems (NeurIPS)(2022)


7. Probabilistic learning of treatment trees in cancer
   Annals of Applied Statistics(2022)


8. Variograms for kriging and clustering of spatial functional data with phase variation
   Spatial Statistics (2022)


9. Differential privacy over Riemannian manifolds
   Neural Information Processing Systems (NeurIPS)(2021)


10. Tangent functional canonical correlation analysis for densities and shapes, with applications to multimodal imaging data
    Journal of Multivariate Analysis (2022)


11. Joint quasiprobability distribution on the measurement outcomes of MUB-driven operators
    Physics Letters A (2021)


12. Radiogenomic analysis incorporating tumor heterogeneity in imaging through densities
    Annals of Applied Statistics (2021)


13. Bayesian framework for simultaneous registration and estimation of noisy, sparse and fragmented functional data
    Journal of the American Statistical Association (2021+)


14. Shape-based classification of partially observed curves, with applications to anthropology
    Frontiers in Applied Mathematics and Statistics (2021)


15. Geometric empirical Bayesian model for classification of functional data underdiverse sampling regimes
    IEEE CVPR DiffCVML2021 (2021)


16. Discussion on 'On a class of objective priors from scoring rules'
    Bayesian Analysis (2020)


17. Measure of polymer performance based on correlated physical parameters
    Journal of Applied Polymer Science (2021)


18. Analysis of shape data: From landmarks to elastic curves
    WIREs Computational Statistics (2020)


19. Biomedical applications of geometric functional data analysis
    In Handbook on variational methods for nonlinear geometric data (2020)


20. Distribution on warp maps for alignment of open and closed curves
    Journal of the American Statistical Association(2020) [talk]


21. Geometric variational approach to Bayesian inference
    Journal of the American Statistical Association (2020)


22. Invariance and identifiability issues for word embeddings
    Neural Information Processing Systems (NeurIPS)(2019)[talk]


23. Mutually disjoint, maximally commuting set of physical observables for optimum state determination
    Physica Scripta (2019)


24. Radiologic image-based statistical shape analysis of brain tumors
    Journal of the Royal Statistical Society (Series C) (2018) [talk]


25. Statistical tests for large tree-structured data
    Journal of the American Statistical Association (2017) [talk]


26. Geometric approach to visualization of variability in functional data
    Journal of the American Statistical Association (2017)[talk]


27. Multiaxial Representation of N-qubit Mixed Symmetric Separable States
    Physical Review A (2017)


28. Invited discussion on 'Sparse graphs using exchangeable random measures'.
    Journal of the Royal Statistical Society (Series B) (2017)


29. POVM construction: A simple recipe with applications to symmetric states
    International Journal of Quantum Information (2017)


30. DEMARCATE: Density-based Magnetic Resonance Image Clustering for Assessing Tumor Heterogeneity in Cancer
    NeuroImage (2016) [talk]


31. Functional data analysis techniques for the study of structural parameters in polymer composites
    Journal of Applied Crystallography (2016)


32. Bayesian sensitivity analysis with Fisher-Rao metric
    Biometrika (2015) [talk]


33. Spacings around an order statistic
    Annals of the Institute of Statistical Mathematics (2015).


34. On a clustering criterion for dependent observations.
    Journal of Statistical Planning and Inference (2014)


35. Asymptotics of a clustering criterion for smooth distributions
    Electronic Journal of Statistics (2013)


36. Asymptotics of the Empirical Cross-over Function
    Annals of the Institute of Statistical Mathematics (2013)


37. A note on density estimation for binary sequences.
    Statistics and Probability Letters (2013)


38. Test to distinguish a brownian motion from a brownian bridge using Polya process
    Statistics and Probability Letters (2011)