Neil Chada

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Ajay JasraProfessor of Applied Mathematics & Statistics, KAUSTVerified email at kaust.edu.sa
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
Marco IglesiasUniversity of NottinghamVerified email at nottingham.ac.uk
Simon WeissmannUniversität MannheimVerified email at uni-mannheim.de
Fangyuan YuPhd candidate of statistics, KAUSTVerified email at kaust.edu.sa
Kody J. H. LawDepartment of Mathematics, University of ManchesterVerified email at manchester.ac.uk
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 HoussineauUniversity of WarwickVerified email at warwick.ac.uk
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
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
Chau Ngoc HuyThe University of ManchesterVerified email at manchester.ac.uk
Tushar VaidyaPostdoctoral Research Fellow, Nanyang Technological UniversityVerified email at ntu.edu.sg
Claudia SchillingsInstitute of Mathematics, FU Berlin

Neil Chada

Heriot Watt University

Verified email at hw.ac.uk - Homepage

Computational Statistics Numerical Analysis Inverse Problems Monte Carlo Methods Statistical Learning Theory


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Parameterizations for Ensemble Kalman Inversion NK Chada, MA Iglesias, L Roininen, AM Stuart Inverse Problems 34 (5), 055009, 2018	63	2018
Tikhonov Regularization within Ensemble Kalman Inversion NK Chada, AM Stuart, XT Tong SIAM Journal on Numerical Analysis 58 (2), 1263–1294, 2020	62	2020
Convergence Acceleration of Ensemble Kalman Inversion in Nonlinear Settings NK Chada, XT Tong Mathematics of Computation 91 (335), 1247-1280, 2022	22	2022
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	22	2019
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	21	2021
Multilevel Ensemble Kalman-Bucy Filters NK Chada, A Jasra, F Yu SIAM/ASA Journal on Uncertainty Quantification 10 (2), 584-618, 2022	16	2022
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	15	2021
Cauchy Markov Random Field Priors for Bayesian Inversion J Suuronen, NK Chada, L Roininen Statistics and Computing 32 (33), 2022	14	2022
Posterior Convergence Analysis of -Stable Sheets NK Chada, S Lasanen, L Roininen arXiv preprint arXiv:1907.03086, 2019	7	2019
Analysis of Hierarchical Ensemble Kalman Inversion NK Chada arXiv preprint arXiv:1801.00847, 2017	7	2017
Multilevel Estimation of Normalization Constants using the Ensemble Kalman-Bucy Filter H Ruzayqat, NK Chada, A Jasra Statistics and Computing 32 (38), 2022	6	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	6	2022
Adaptive Tikhonov Strategies for Stochastic Ensemble Kalman Inversion S Weissmann, NK chada, C Schillings, XT Tong Inverse Problems 38 (04), 2022	5	2022
Elements of asymptotic theory with outer probability measures J Houssineau, NK Chada, E Delande arXiv preprint arXiv:1908.04331, 2019	5	2019
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, 2023	2	2023
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
Ensemble based methods for geometric inverse problems NK Chada University of Warwick, 2018	1	2018
Unbiased Estimation of the Vanilla and Deterministic Ensemble Kalman-Bucy Filters M Alvarez, NK Chada, A Jasra International Journal on Uncertainty Quantification (Accepted), 2023		2023
On a Dynamic Variant of the Iteratively Regularized Gauss-Newton Method with Sequential Data NK Chada, MA Iglesias, S Lu, F Werner SIAM Journal on Scientific Computing (Accepted), 2023		2023
Bayesian Inversion with Alpha-Stable Priors J Suuronen, T Soto, NK Chada, L Roininen https://arxiv.org/abs/2212.05555, 2022		2022

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