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Christopher Carter在 unsw.edu.au 的电子邮件经过验证
Minh-Ngoc TranAssociate Professor, University of Sydney在 sydney.edu.au 的电子邮件经过验证
David NottAssociate Professor of Statistics, National University of Singapore在 nus.edu.sg 的电子邮件经过验证
Michael Stanley SmithChair of Management (Econometrics), Melbourne Business School, University of Melbourne在 mbs.edu 的电子邮件经过验证
Mattias VillaniProfessor of Statistics, Stockholm University在 stat.su.se 的电子邮件经过验证
David GunawanUniversity of Wollongong在 uow.edu.au 的电子邮件经过验证
M PittKing's College London在 kcl.ac.uk 的电子邮件经过验证
paolo giordaniProfessor of Financial Econometrics, Norwegian Business School, Oslo在 bi.no 的电子邮件经过验证
Matias QuirozUniversity of Technology Sydney在 uts.edu.au 的电子邮件经过验证
Tom ShivelyProfessor of Statistics, McCombs School of Business, University of Texas at Austin在 mccombs.utexas.edu 的电子邮件经过验证
Sally (Wood) CrippsUniversity of Technology Sydney在 uts.edu.au 的电子邮件经过验证
Simon J SheatherUniversity of Kentucky在 uky.edu 的电子邮件经过验证
Richard GerlachThe University of Sydney在 sydney.edu.au 的电子邮件经过验证
Khue-Dung DangUniversity of Melbourne在 unimelb.edu.au 的电子邮件经过验证
Christopher DrovandiProfessor of Statistics, Queensland University of Technology在 qut.edu.au 的电子邮件经过验证
Guy HawkinsUniversity of Newcastle在 newcastle.edu.au 的电子邮件经过验证
Marcel ScharthUniversity of Sydney Business School在 sydney.edu.au 的电子邮件经过验证
scott brownschool of psychology, university of newcastle在 newcastle.edu.au 的电子邮件经过验证
Denzil G FiebigProfessor of Economics, UNSW在 unsw.edu.au 的电子邮件经过验证
David Tyler FrazierMonash University, Department of Econometrics and Business Statistics在 monash.edu 的电子邮件经过验证

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robert kohn

Professor of Economics University of New South Wales

在 unsw.edu.au 的电子邮件经过验证

Statistics Econometrics Bayesian Time Series Markov chain Monte carlo


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
On Gibbs sampling for state space models CK Carter, R Kohn Biometrika 81 (3), 541-553, 1994	3014	1994
Nonparametric regression using Bayesian variable selection M Smith, R Kohn Journal of econometrics 75 (2), 317-343, 1996	754	1996
On some properties of Markov chain Monte Carlo simulation methods based on the particle filter MK Pitt, R dos Santos Silva, P Giordani, R Kohn Journal of Econometrics 171 (2), 134-151, 2012	369	2012
Estimation, filtering, and smoothing in state space models with incompletely specified initial conditions CF Ansley, R Kohn The Annals of Statistics, 1286-1316, 1985	359	1985
Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator A Doucet, MK Pitt, G Deligiannidis, R Kohn Biometrika 102 (2), 295-313, 2015	347	2015
Estimation, prediction, and interpolation for ARIMA models with missing data R Kohn, CF Ansley Journal of the American statistical Association 81 (395), 751-761, 1986	344	1986
Efficient Bayesian inference for Gaussian copula regression models M Pitt, D Chan, R Kohn Biometrika 93 (3), 537-554, 2006	321	2006
Dissecting the random component of utility J Louviere, D Street, R Carson, A Ainslie, JR DeShazo, T Cameron, ... Marketing letters 13, 177-193, 2002	290	2002
Efficient estimation of covariance selection models F Wong, CK Carter, R Kohn Biometrika 90 (4), 809-830, 2003	287	2003
Markov chain Monte Carlo in conditionally Gaussian state space models CK Carter, R Kohn Biometrika 83 (3), 589-601, 1996	259	1996
Parsimonious covariance matrix estimation for longitudinal data M Smith, R Kohn Journal of the American Statistical Association 97 (460), 1141-1153, 2002	256	2002
Speeding up MCMC by efficient data subsampling M Quiroz, R Kohn, M Villani, MN Tran Journal of the American Statistical Association, 2018	239	2018
Efficient Bayesian inference for multiple change-point and mixture innovation models P Giordani, R Kohn Journal of Business & Economic Statistics 26 (1), 66-77, 2008	223	2008
Nonparametric regression using linear combinations of basis functions R Kohn, M Smith, D Chan Statistics and Computing 11 (4), 313-322, 2001	223	2001
Efficient Bayesian inference for dynamic mixture models R Gerlach, C Carter, R Kohn Journal of the American Statistical Association 95 (451), 819-828, 2000	213	2000
A fast algorithm for signal extraction, influence and cross-validation in state space models R Kohn, CF Ansley Biometrika 76 (1), 65-79, 1989	160	1989
Exact likelihood of vector autoregressive-moving average process with missing or aggregated data CF Ansley, R Kohn Biometrika 70 (1), 275-278, 1983	145	1983
Bayesian estimation of an autoregressive model using Markov chain Monte Carlo G Barnett, R Kohn, S Sheather Journal of Econometrics 74 (2), 237-254, 1996	144	1996
A new algorithm for spline smoothing based on smoothing a stochastic process R Kohn, CF Ansley SIAM Journal on Scientific and Statistical Computing 8 (1), 33-48, 1987	140	1987
Adaptive sampling for Bayesian variable selection DJ Nott, R Kohn Biometrika 92 (4), 747-763, 2005	138	2005

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