Neil Chada

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Ajay JasraProfessor of Data Science, The Chinese University of Hong Kong, ShenzhenVerified email at cuhk.edu.cn
Xin T. TongNational University of SingaporeVerified email at nus.edu.sg
Lassi RoininenLUTVerified email at lut.fi
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
Fangyuan YuTemus AI & DataVerified email at kaust.edu.sa
Kody J. H. LawProfessor at the University of Manchester and AI Research Scientist at MetaVerified email at meta.com
Yuming ChenUniversity of ChicagoVerified email at uchicago.edu
Matti ViholaDepartment of Mathematics and Statistics, University of JyväskyläVerified email at jyu.fi
Sari LasanenLappeenranta-Lahti University of TechnologyVerified email at lut.fi
Jeremie HoussineauNanyang Technological University (NTU)Verified email at ntu.edu.sg
Benedict LeimkuhlerUniversity of EdinburghVerified email at ed.ac.uk
Peter A. WhalleyUniversity of EdinburghVerified email at ed.ac.uk
Håkon HoelUniversity of OsloVerified email at math.uio.no
Georgios ZourarisProfessor, University of CreteVerified email at uoc.gr
Fei LuJohns Hopkins UniversityVerified email at math.jhu.edu
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
Frank WernerProfessor for Inverse Problems, Julius-Maximilians-Universität WürzburgVerified email at mathematik.uni-wuerzburg.de

Neil Chada

City University of Hong Kong

Verified email at cityu.edu.hk - Homepage

Monte Carlo Methods Computational Statistics Numerical Analysis 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	89	2020
Parameterizations for Ensemble Kalman Inversion NK Chada, MA Iglesias, L Roininen, AM Stuart Inverse Problems 34 (5), 055009, 2018	85	2018
Convergence Acceleration of Ensemble Kalman Inversion in Nonlinear Settings NK Chada, XT Tong Mathematics of Computation 91 (335), 1247-1280, 2022	38	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	37	2021
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	35	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	25	2022
Adaptive Tikhonov Strategies for Stochastic Ensemble Kalman Inversion S Weissmann, NK chada, C Schillings, XT Tong Inverse Problems 38 (04), 2022	16	2022
Multilevel Ensemble Kalman-Bucy Filters NK Chada, A Jasra, F Yu arXiv preprint arXiv:2011.04342, 2020	14	2020
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
Multilevel Ensemble Kalman-Bucy Filters NK Chada, A Jasra, F Yu SIAM/ASA Journal on Uncertainty Quantification 10 (2), 584-618, 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
Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients NK Chada, B Leimkuhler, D Paulin, PA Whalley https://arxiv.org/abs/2311.05025, 2023	6	2023
Bayesian Inversion with Alpha-Stable Priors J Suuronen, T Soto, NK Chada, L Roininen Inverse Problems 39 (105007), 2023	6	2023
Elements of asymptotic theory with outer probability measures J Houssineau, NK Chada, E Delande arXiv preprint arXiv:1908.04331, 2019	6	2019
Improved efficiency of multilevel Monte Carlo for stochastic PDE through strong pairwise coupling NK Chada, H Hoel, A Jasra, GE Zouraris Journal of Scientific Computing 93 (62), 2022	5	2022
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

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