Neil Chada

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Ajay JasraProfessor of Data Science, CUHK, SZVerified email at cuhk.edu.cn
Lassi RoininenLUTVerified email at lut.fi
Xin T. TongNational University of SingaporeVerified email at nus.edu.sg
Andrew M StuartComputing + Mathematical Sciences, CaltechVerified email at caltech.edu
Simon WeissmannUniversität MannheimVerified email at uni-mannheim.de
Marco IglesiasUniversity of NottinghamVerified email at nottingham.ac.uk
Kody J. H. LawProfessor at the University of Manchester and AI Research Scientist at MetaVerified email at meta.com
Fangyuan YuPhd candidate of statistics, KAUSTVerified email at kaust.edu.sa
Matti ViholaDepartment of Mathematics and Statistics, University of JyväskyläVerified email at jyu.fi
Yuming ChenUniversity of ChicagoVerified email at uchicago.edu
Sari LasanenLappeenranta-Lahti University of TechnologyVerified email at lut.fi
Jeremie HoussineauNanyang Technological University (NTU)Verified email at ntu.edu.sg
Fei LuJohns Hopkins UniversityVerified email at math.jhu.edu
Håkon HoelUniversity of OsloVerified email at math.uio.no
Georgios ZourarisProfessor, University of CreteVerified email at uoc.gr
Daniel PaulinLecturer of Statistics and Data Science, University of EdinburghVerified email at ed.ac.uk
Benedict LeimkuhlerUniversity of EdinburghVerified email at ed.ac.uk
Peter Archibald WhalleyMathematics PhD Student, University of EdinburghVerified email at ed.ac.uk
Sumeetpal Sidhu SinghTibra Foundation Chair in Mathematical Sciences, School of Mathematics, University of WollongongVerified email at uow.edu.au
Shuai LuSchool of Mathematical Sciences, Fudan University, ChinaVerified email at fudan.edu.cn

Neil Chada

Heriot Watt University

Verified email at hw.ac.uk - Homepage

Computational Statistics Numerical Analysis Monte Carlo Methods Inverse Problems Data Science


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Tikhonov Regularization within Ensemble Kalman Inversion NK Chada, AM Stuart, XT Tong SIAM Journal on Numerical Analysis 58 (2), 1263–1294, 2020	82	2020
Parameterizations for Ensemble Kalman Inversion NK Chada, MA Iglesias, L Roininen, AM Stuart Inverse Problems 34 (5), 055009, 2018	81	2018
Unbiased inference for discretely observed hidden Markov model diffusions NK Chada, J Franks, A Jasra, KJH Law, M Vihola SIAM/ASA Journal on Uncertainty Quantification 9 (2), 763–787, 2021	30	2021
Convergence Acceleration of Ensemble Kalman Inversion in Nonlinear Settings NK Chada, XT Tong Mathematics of Computation 91 (335), 1247-1280, 2022	29	2022
Iterative Ensemble Kalman Methods: A Unified Perspective with Some New Variants NK Chada, Y Chen, D Sanz-Alonso Foundations of Data Science 3 (3), 331-369, 2021	28	2021
On the Incorporation of Box-Constraints for Ensemble Kalman Inversion NK Chada, C Schillings, S Weissmann Foundations of Data Science 1 (4), 433-456, 2019	28	2019
Cauchy Markov Random Field Priors for Bayesian Inversion J Suuronen, NK Chada, L Roininen Statistics and Computing 32 (33), 2022	16	2022
Multilevel Ensemble Kalman-Bucy Filters NK Chada, A Jasra, F Yu SIAM/ASA Journal on Uncertainty Quantification 10 (2), 584-618, 2022	16	2022
Adaptive Tikhonov Strategies for Stochastic Ensemble Kalman Inversion S Weissmann, NK chada, C Schillings, XT Tong Inverse Problems 38 (04), 2022	14	2022
Analysis of Hierarchical Ensemble Kalman Inversion NK Chada arXiv preprint arXiv:1801.00847, 2017	10	2017
Posterior Convergence Analysis of -Stable Sheets NK Chada, S Lasanen, L Roininen arXiv preprint arXiv:1907.03086, 2019	9	2019
Multilevel Estimation of Normalization Constants using the Ensemble Kalman-Bucy Filter H Ruzayqat, NK Chada, A Jasra Statistics and Computing 32 (38), 2022	8	2022
Consistency Analysis of Bilevel Data-Driven Learning in Inverse Problems NK Chada, C Schillings, XT Tong, S Weissmann Communications in Mathematical Sciences 20 (1), 123-164, 2022	8	2022
Cauchy Markov random field priors for Bayesian inversion NK Chada, L Roininen, J Suuronen arXiv preprint arXiv:2105.12488, 2021	7	2021
Elements of asymptotic theory with outer probability measures J Houssineau, NK Chada, E Delande arXiv preprint arXiv:1908.04331, 2019	6	2019
Bayesian Inversion with Alpha-Stable Priors J Suuronen, T Soto, NK Chada, L Roininen Inverse Problems 39 (105007), 2023	4	2023
Unbiased Estimation using the Underdamped Langevin Dynamics H Ruzayqat, NK Chada, A Jasra SIAM Journal on Scientific Computing 45 (6), 3047--3070, 2023	3	2023
A Data-Adaptive Prior for Bayesian Learning of Kernels in Operators NK Chada, Q Lang, F Lu, X Wang https://arxiv.org/abs/2212.14163, 2022	2	2022
Unbiased Estimation of the Hessian for Partially Observed Diffusions NK chada, A Jasra, F Yu Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2022	2	2022
Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients NK Chada, B Leimkuhler, D Paulin, PA Whalley https://arxiv.org/abs/2311.05025, 2023	1	2023

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