Neil Chada

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Ajay JasraProfessor of Data Science, The Chinese University of Hong Kong, ShenzhenE-mail confirmado em cuhk.edu.cn
Lassi RoininenLUTE-mail confirmado em lut.fi
Xin T. TongNational University of SingaporeE-mail confirmado em nus.edu.sg
Andrew M StuartComputing + Mathematical Sciences, CaltechE-mail confirmado em caltech.edu
Simon WeissmannUniversität MannheimE-mail confirmado em uni-mannheim.de
Marco IglesiasUniversity of NottinghamE-mail confirmado em nottingham.ac.uk
Kody J. H. LawProfessor at the University of Manchester and AI Research Scientist at MetaE-mail confirmado em meta.com
Matti ViholaDepartment of Mathematics and Statistics, University of JyväskyläE-mail confirmado em jyu.fi
Benedict LeimkuhlerUniversity of EdinburghE-mail confirmado em ed.ac.uk
Peter A. WhalleySeminar for Statistics, D-MATH, ETH ZurichE-mail confirmado em math.ethz.ch
Jeremie HoussineauNanyang Technological University (NTU)E-mail confirmado em ntu.edu.sg
Fei LuJohns Hopkins UniversityE-mail confirmado em math.jhu.edu
Sari LasanenLappeenranta-Lahti University of TechnologyE-mail confirmado em lut.fi
Håkon HoelUniversity of OsloE-mail confirmado em math.uio.no
Georgios ZourarisProfessor, University of CreteE-mail confirmado em uoc.gr
Sumeetpal Sidhu SinghTibra Foundation Chair in Mathematical Sciences, School of Mathematics, University of WollongongE-mail confirmado em uow.edu.au
Shuai LuSchool of Mathematical Sciences, Fudan University, ChinaE-mail confirmado em fudan.edu.cn
Frank WernerProfessor for Inverse Problems, Julius-Maximilians-Universität WürzburgE-mail confirmado em mathematik.uni-wuerzburg.de
Philip J. HerbertUniversity of SussexE-mail confirmado em sussex.ac.uk
El Houcine BergouUM6PE-mail confirmado em um6p.ma

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Neil Chada

City University of Hong Kong

E-mail confirmado em cityu.edu.hk - Página inicial

Monte Carlo Methods Computational Statistics Numerical Analysis Inverse Problems Data Science


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Tikhonov Regularization within Ensemble Kalman Inversion NK Chada, AM Stuart, XT Tong SIAM Journal on Numerical Analysis 58 (2), 1263–1294, 2020	101	2020
Parameterizations for Ensemble Kalman Inversion NK Chada, MA Iglesias, L Roininen, AM Stuart Inverse Problems 34 (5), 055009, 2018	89	2018
Convergence Acceleration of Ensemble Kalman Inversion in Nonlinear Settings NK Chada, XT Tong Mathematics of Computation 91 (335), 1247-1280, 2022	46	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	41	2021
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	41	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	32	2019
Cauchy Markov Random Field Priors for Bayesian Inversion J Suuronen, NK Chada, L Roininen Statistics and Computing 32 (33), 2022	20	2022
Adaptive Tikhonov Strategies for Stochastic Ensemble Kalman Inversion S Weissmann, NK chada, C Schillings, XT Tong Inverse Problems 38 (04), 2022	19	2022
Unbiased Kinetic Langevin Monte Carlo with Inexact Gradients NK Chada, B Leimkuhler, D Paulin, PA Whalley https://arxiv.org/abs/2311.05025, 2023	12	2023
Multilevel Ensemble Kalman-Bucy Filters NK Chada, A Jasra, F Yu arXiv preprint arXiv:2011.04342, 2020	12	2020
Bayesian Inversion with Alpha-Stable Priors J Suuronen, T Soto, NK Chada, L Roininen Inverse Problems 39 (105007), 2023	10	2023
Multilevel Estimation of Normalization Constants using the Ensemble Kalman-Bucy Filter H Ruzayqat, NK Chada, A Jasra Statistics and Computing 32 (38), 2022	10	2022
Posterior Convergence Analysis of -Stable Sheets NK Chada, S Lasanen, L Roininen arXiv preprint arXiv:1907.03086, 2019	10	2019
Analysis of Hierarchical Ensemble Kalman Inversion NK Chada arXiv preprint arXiv:1801.00847, 2017	10	2017
Unbiased Estimation using the Underdamped Langevin Dynamics H Ruzayqat, NK Chada, A Jasra SIAM Journal on Scientific Computing 45 (6), 3047--3070, 2023	9	2023
Multilevel Ensemble Kalman-Bucy Filters NK Chada, A Jasra, F Yu SIAM/ASA Journal on Uncertainty Quantification 10 (2), 584-618, 2022	9	2022
Elements of asymptotic theory with outer probability measures J Houssineau, NK Chada, E Delande arXiv preprint arXiv:1908.04331, 2019	9	2019
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
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	7	2022
Cauchy Markov random field priors for Bayesian inversion NK Chada, L Roininen, J Suuronen arXiv preprint arXiv:2105.12488, 2021	6	2021

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