Publications

Callum John Rowlandson Murphy-Barltrop, Ed Mackay, and Philip Jonathan. Inference for bivariate extremes via a semi-parametric angular-radial model. Extremes : statistical theory and applications in science, engineering and economics, Springer Science + Business Media, Dordrecht, Oct 3, 2024. [PUMA: FIS_scads imported topic_mathfoundation yaff]

Gaia Olcese, Paul D Bates, Jeffrey C Neal, Christopher C Sampson, Oliver E J Wing, Niall Quinn, Callum J R Murphy-Barltrop, and Izzy Probyn. Developing a Fluvial and Pluvial Stochastic Flood Model of Southeast Asia. Water Resources Research, (60 (2024))6Blackwell, Jun 3, 2024. [PUMA: FIS_scads topic_mathfoundation zno]

C. J. R. Murphy-Barltrop, J. L. Wadsworth, and E. F. Eastoe. Improving estimation for asymptotically independent bivariate extremes via global estimators for the angular dependence function. Extremes : statistical theory and applications in science, engineering and economics, (27)4Springer Science + Business Media, Dordrecht, Aug 13, 2024. [PUMA: FIS_scads imported topic_mathfoundation yaff]

Lídia Maria André, Ryan Campbell, Eleanor D’Arcy, Aiden Farrell, Dáire Healy, Lydia Kakampakou, Conor Murphy, Callum John Rowlandson Murphy-Barltrop, and Matthew Speers. Extreme value methods for estimating rare events in Utopia. Extremes : statistical theory and applications in science, engineering and economics, 1--23, Springer Science + Business Media, Dordrecht, Nov 1, 2024. [PUMA: FIS_import topic_mathfoundation yaff]

Michelle Nixon, Jeffrey Letourneau, Lawrence David, Sayan Mukherjee, and Justin Silverman. A Statistical Analysis of Compositional Surveys. January 2022. [PUMA: imported topic_mathfoundation zno]

Mikael Vejdemo-Johansson, CUNY College of Staten Island, and 2800 Victory Boulevard, 1S-215, Staten Island, NY 10314, USA, Sayan Mukherjee, CUNY Graduate Center, 365 5th Avenue, and New York NY 10016, USA, Center for Scalable Data Analytics and and Artificial Intelligence, Universit¨at Leipzig, and Humboldtstraße 25, Leipzig, Germany 04105, Max Planck and Institute for Mathematics in the Sciences, Inselstraße 22 and 04103 Leipzig Germany, and Departments of Statistical Science, and Mathematics, Computer Science, and Biostatistics & and Bioinformatics, Duke University, Durham, NC 27708, USA. Multiple hypothesis testing with persistent homology. Found. Data Sci., (4)4:667--705, American Institute of Mathematical Sciences (AIMS), 2022. [PUMA: Multiple homology hypothesis persistent testing; topic_mathfoundation yaff]

Kevin McGoff, Sayan Mukherjee, and Andrew B Nobel. Gibbs posterior convergence and the thermodynamic formalism. Ann. Appl. Probab., (32)1Institute of Mathematical Statistics, February 2022. [PUMA: Gibbs convergence formalism posterior thermodynamic topic_mathfoundation zno]

Henry Kirveslahti, and Sayan Mukherjee. Representing fields without correspondences: the lifted Euler characteristic transform. J. Appl. Comput. Topol., (8)1:1--34, Springer Science and Business Media LLC, March 2024. [PUMA: Euler characteristic corresponcence topic_mathfoundation transform zno]

Michele Caprio, and Sayan Mukherjee. Ergodic theorems for dynamic imprecise probability kinematics. International Journal of Approximate Reasoning, (152):325-343, 2023. [PUMA: Dynamic Ergodic Imprecise Lower Strong Subjective imprecise kinematics large law numbers probabilities probability topic_mathfoundation xack yaff] URL

Antonio Bikić, and Sayan Mukherjee. Pragmatist Intelligence: Where the Principle of Usefulness Can Take ANNs. 2024. [PUMA: ANN Intelligence; Pragmatist Usefulness; topic_mathfoundation yaff] URL

Andrea Agazzi, Jianfeng Lu, and Sayan Mukherjee. Global optimality of Elman-type RNNs in the mean-field regime. In Andreas Krause, Emma Brunskill, Kyunghyun Cho, Barbara Engelhardt, Sivan Sabato, and Jonathan Scarlett (Eds.), Proceedings of the 40th International Conference on Machine Learning, (202):196--227, PMLR, 23--29 Jul 2023. [PUMA: Elman-type Optimality, mean-field regime topic_mathfoundation xack yaff {RNN}s,] URL

Vincent D. Friedrich, Peter Pennitz, Emanuel Wyler, Julia M. Adler, Dylan Postmus, Kristina Müller, Luiz Gustavo Teixeira Alves, Julia Prigann, Fabian Pott, Daria Vladimirova, Thomas Hoefler, Cengiz Goekeri, Markus Landthaler, Christine Goffinet, Antoine-Emmanuel Saliba, Markus Scholz, Martin Witzenrath, Jakob Trimpert, Holger Kirsten, and Geraldine Nouailles. Neural network-assisted humanisation of COVID-19 hamster transcriptomic data reveals matching severity states in human disease. eBioMedicine, (108):105312, 2024. [PUMA: COVID-19, Cross-species Deep Disease Hamster RNA-seq, Single-cell analysis, learning matching, model, state topic_mathfoundation xack yaff] URL

C.J.R. Murphy-Barltrop, and J.L. Wadsworth. Modelling Non-Stationarity in Asymptotically Independent Extremes. Computational Statistics and Data Analysis, (199):108025, Elsevier BV, November 2024. [PUMA: imported topic_mathfoundation zno] URL

E. B. L. Mackay, C. J. R. Murphy-Barltrop, and P. Jonathan. The SPAR Model: A New Paradigm for Multivariate Extremes: Application to Joint Distributions of Metocean Variables. Journal of Offshore Mechanics and Arctic Engineering, (147)1ASME International, July 2024. [PUMA: imported topic_mathfoundation yaff] URL

Giovanni Volpe, Carolina W�hlby, Lei Tian, Michael Hecht, Artur Yakimovich, Kristina Monakhova, Laura Waller, Ivo F. Sbalzarini, Christopher A. Metzler, Mingyang Xie, Kevin Zhang, Isaac C. D. Lenton, Halina Rubinsztein-Dunlop, Daniel Brunner, Bijie Bai, Aydogan Ozcan, Daniel Midtvedt, Hao Wang, Nata�a Sladoje, Joakim Lindblad, Jason T. Smith, Marien Ochoa, Margarida Barroso, Xavier Intes, Tong Qiu, Li-Yu Yu, Sixian You, Yongtao Liu, Maxim A. Ziatdinov, Sergei V. Kalinin, Arlo Sheridan, Uri Manor, Elias Nehme, Ofri Goldenberg, Yoav Shechtman, Henrik K. Moberg, Christoph Langhammer, Barbora �pa?kov�, Saga Helgadottir, Benjamin Midtvedt, Aykut Argun, Tobias Thalheim, Frank Cichos, Stefano Bo, Lars Hubatsch, Jesus Pineda, Carlo Manzo, Harshith Bachimanchi, Erik Selander, Antoni Homs-Corbera, Martin Fr�nzl, Kevin de Haan, Yair Rivenson, Zofia Korczak, Caroline Beck Adiels, Mite Mijalkov, D�niel Ver�b, Yu-Wei Chang, Joana B. Pereira, Damian Matuszewski, Gustaf Kylberg, Ida-Maria Sintorn, Juan C. Caicedo, Beth A Cimini, Muyinatu A. Lediju Bell, Bruno M. Saraiva, Guillaume Jacquemet, Ricardo Henriques, Wei Ouyang, Trang Le, Estibaliz G�mez de Mariscal, Daniel Sage, Arrate Mu�oz-Barrutia, Ebba Josefson Lindqvist, and Johanna Bergman. Roadmap on Deep Learning for Microscopy. 2023. [PUMA: imported topic_lifescience topic_mathfoundation topic_physchemistry zno] URL

Marzieh Eidi. Topological and geometric methods with a view towards data analysis. xiv, 76, 2022. [PUMA: imported nopdf topic_mathfoundation] URL

Marzieh Eidi, and Sayan Mukherjee. Higher Order Bipartiteness vs Bi-Partitioning in Simplicial Complexes. 2024. [PUMA: imported topic_mathfoundation zno] URL

Lukas Silvester Barth, Fatemeh, Fahimi, Parvaneh Joharinad, Jürgen Jost, and Janis Keck. IsUMap: Manifold Learning and Data Visualization leveraging Vietoris-Rips filtrations. 2024. [PUMA: imported topic_lifescience topic_mathfoundation yaff] URL

Sayan Mukherjee, and Vorapong Suppakitpaisarn. Robustness for Spectral Clustering of General Graphs under Local Differential Privacy. 2023. [PUMA: imported topic_mathfoundation zno] URL

Youngsoo Baek, Wilkins Aquino, and Sayan Mukherjee. Generalized Bayes approach to inverse problems with model misspecification. Inverse Problems, (39)10:105011, IOP Publishing, September 2023. [PUMA: imported topic_mathfoundation zno] URL