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Author ID: nott.david-john Recent zbMATH articles by "Nott, David John"
Published as: Nott, David J.; Nott, David; Nott, D. J.; Nott, David John; Nott, D.
all top 5

Co-Authors

3 single-authored
11 Drovandi, Christopher C.
8 Kohn, Robert J.
8 Tran, Minh Ngoc
7 Sisson, Scott A.
6 Evans, Michael John
6 Tan, Linda S. L.
5 Englert, Berthold-Georg
5 Leng, Chenlei
5 Ong, Victor M. H.
5 Smith, Michael Stanley
4 Dunsmuir, William T. M.
4 Li, Jialiang
4 Ng, Hui Khoon
3 Fielding, Mark
3 Frazier, David T.
3 Jasra, Ajay
3 Klein, Nadja
3 Kuk, Anthony Yung Cheung
3 Leonte, Daniela
3 Marshall, Lucy
3 Seah, Yi-Lin
3 Wang, Xueou
2 An, Ziwen
2 Chakraborty, Atlanta
2 Choi, Taeryon
2 Cripps, Edward
2 Donovan, Diane M.
2 Draper, David
2 Fan, Yanan
2 Jo, Seongil
2 Loaiza-Maya, Rubén
2 Mensah, David K.
2 Park, Beomjo
2 Rodrigues, Guilherme Souza
2 Shang, Jiangwei
2 Tong, Howell
2 Wilson, Richard John
2 Yu, Xuejun
1 Ahmed, Ismaïl
1 Al-Labadi, Luai
1 Andrieu, Christophe
1 Arafat, Ahmed
1 Barnes, Chris P.
1 Barthelmé, Simon
1 Beaumont, Mark A.
1 Bhaskaran, Aishwarya
1 Blum, Michael G. B.
1 Brown, Phil
1 Bühlmann, Peter
1 Bušić, Ana
1 Chan, Eva
1 Chen, YiNing
1 Chopin, Nicolas
1 Chowdhury, Kali
1 Cooper, Joan
1 Cornebise, Julien
1 Cotsapas, Chris
1 Cottet, Remy
1 Cowley, Mark J.
1 Danaher, Peter J.
1 Dawson, Kevin J.
1 Doucet, Arnaud
1 Efron, Bradley
1 Fang, Zhou
1 Fasiolo, Matteo
1 Fearnhead, Paul
1 Feng, Lei
1 Filippi, Sarah
1 Fourneau, Jean-Michel
1 François, Olivier
1 Gandy, Axel
1 Gelman, Andrew
1 Ghosh, Debashis
1 Ghosh, Malay
1 Girolami, Mark A.
1 Griffin, Jim E.
1 Gugushvili, Shota
1 Haaland, Benjamin
1 Hamelryck, Thomas
1 Hartig, Florian
1 Hazra, Arnab
1 Hennig, Christian
1 Holmes, Christopher C.
1 Hothorn, Torsten
1 Huang, Zhipeng
1 Jang, Gun Ho
1 Jewson, Jack
1 Jong-Min Kim
1 Kent, John T.
1 Kirk, Paul D. W.
1 Kock, Lucas
1 Kosmidis, Ioannis
1 Kypraios, Theodore
1 Lavine, Michael L.
1 Lee, Anthony J. T.
1 Lee, Yoonkyung
1 Levina, Elizaveta
1 Lewin, Alexandra M.
1 Lewis, John R.
1 Lim, Daeyoung
...and 62 more Co-Authors

Publications by Year

Citations contained in zbMATH Open

60 Publications have been cited 429 times in 313 Documents Cited by Year
Stability selection. With discussion and authors’ reply. Zbl 1411.62142
Meinshausen, Nicolai; Bühlmann, Peter
186
2010
Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation. With discussion and authors’ reply. Zbl 1411.62057
Fearnhead, Paul; Prangle, Dennis
79
2012
Bayesian synthetic likelihood. Zbl 07498962
Price, L. F.; Drovandi, C. C.; Lee, A.; Nott, D. J.
38
2018
A pairwise likelihood approach to analyzing correlated binary data. Zbl 0973.62056
Kuk, Anthony Y. C.; Nott, David J.
34
2000
Bayesian adaptive Lasso. Zbl 1334.62130
Leng, Chenlei; Tran, Minh-Ngoc; Nott, David
33
2014
Adaptive sampling for Bayesian variable selection. Zbl 1160.62312
Nott, David J.; Kohn, Robert
24
2005
Variational inference for generalized linear mixed models using partially noncentered parametrizations. Zbl 1331.62167
Tan, Linda S. L.; Nott, David J.
17
2013
Gaussian variational approximation with a factor covariance structure. Zbl 07498925
Ong, Victor M.-H.; Nott, David J.; Smith, Michael S.
17
2018
Gaussian variational approximation with sparse precision matrices. Zbl 1384.62105
Tan, Linda S. L.; Nott, David J.
16
2018
Variational Bayes with synthetic likelihood. Zbl 1384.65015
Ong, Victor M. H.; Nott, David J.; Tran, Minh-Ngoc; Sisson, Scott A.; Drovandi, Christopher C.
15
2018
Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model. Zbl 1466.62136
Li, J.; Nott, D. J.; Fan, Y.; Sisson, S. A.
15
2017
Pairwise likelihood methods for inference in image models. Zbl 0938.62108
Nott, David J.; Rydén, Tobias
14
1999
Variable selection and model averaging in semiparametric overdispersed generalized linear models. Zbl 1469.62311
Cottet, Remy; Kohn, Robert J.; Nott, David J.
10
2008
Robust Bayesian synthetic likelihood via a semi-parametric approach. Zbl 1436.62090
An, Ziwen; Nott, David J.; Drovandi, Christopher
10
2020
Bayesian projection approaches to variable selection in generalized linear models. Zbl 1284.62461
Nott, David J.; Leng, Chenlei
10
2010
Generalized smooth finite mixtures. Zbl 1443.62085
Villani, Mattias; Kohn, Robert; Nott, David J.
9
2012
Checking for prior-data conflict using prior-to-posterior divergences. Zbl 07292511
Nott, David J.; Wang, Xueou; Evans, Michael; Englert, Berthold-Georg
9
2020
A stochastic variational framework for fitting and diagnosing generalized linear mixed models. Zbl 1327.62167
Tan, Linda S. L.; Nott, David J.
8
2014
Accelerating Bayesian synthetic likelihood with the graphical Lasso. Zbl 07499068
An, Ziwen; South, Leah F.; Nott, David J.; Drovandi, Christopher C.
8
2019
Bayesian deep net GLM and GLMM. Zbl 07499275
Tran, M.-N.; Nguyen, N.; Nott, D.; Kohn, R.
8
2020
Likelihood-free inference in high dimensions with synthetic likelihood. Zbl 1469.62123
Ong, Victor M.-H.; Nott, David J.; Tran, Minh-Ngoc; Sisson, Scott A.; Drovandi, Christopher C.
8
2018
Semiparametric estimation of mean and variance functions for non-Gaussian data. Zbl 1164.62342
Nott, David
7
2006
Variational approximation for heteroscedastic linear models and matching pursuit algorithms. Zbl 1322.62031
Nott, David J.; Tran, Minh-Ngoc; Leng, Chenlei
7
2012
Multilevel Monte Carlo in approximate Bayesian computation. Zbl 1426.65005
Jasra, Ajay; Jo, Seongil; Nott, David; Shoemaker, Christine; Tempone, Raul
7
2019
Latin squares: Critical sets and their lower bounds. Zbl 0834.05014
Donovan, Diane; Cooper, Joan; Nott, D. J.; Seberry, Jennifer
6
1995
Confidence interval for the bootstrap \(P\)-value and sample size calculation of the bootstrap test. Zbl 1165.62316
Li, Jialiang; Tai, Bee Choo; Nott, David J.
6
2009
High-dimensional copula variational approximation through transformation. Zbl 07500353
Smith, Michael Stanley; Loaiza-Maya, Rubén; Nott, David J.
6
2020
The predictive Lasso. Zbl 1252.62075
Tran, Minh-Ngoc; Nott, David J.; Leng, Chenlei
6
2012
The ensemble Kalman filter is an ABC algorithm. Zbl 1252.62094
Nott, David J.; Marshall, Lucy; Ngoc, Tran Minh
6
2012
Simultaneous variable selection and component selection for regression density estimation with mixtures of heteroscedastic experts. Zbl 1295.62039
Tran, Minh-Ngoc; Nott, David J.; Kohn, Robert
6
2012
Monte Carlo sampling from the quantum state space. I. Zbl 1452.81020
Shang, Jiangwei; Seah, Yi-Lin; Ng, Hui Khoon; Nott, David John; Englert, Berthold-Georg
5
2015
Multi-phase image modelling with excursion sets. Zbl 1037.94505
Nott, D. J.; Wilson, R. J.
4
2000
Likelihood-free approximate Gibbs sampling. Zbl 1447.62012
Rodrigues, G. S.; Nott, David J.; Sisson, S. A.
4
2020
Fast and accurate variational inference for models with many latent variables. Zbl 07585119
Loaiza-Maya, Rubén; Smith, Michael Stanley; Nott, David J.; Danaher, Peter J.
4
2022
Assessment and adjustment of approximate inference algorithms using the law of total variance. Zbl 07499931
Yu, Xuejun; Nott, David J.; Tran, Minh-Ngoc; Klein, Nadja
4
2021
Space-time modelling of Sydney Harbour winds. Zbl 1108.62125
Cripps, Edward; Nott, David; Dunsmuir, William T. M.; Wikle, Christopher
3
2005
Parameter estimation for excursion set texture models. Zbl 0901.62116
Nott, David J.; Wilson, Richard J.
3
1997
Approximation of Bayesian predictive \(p\)-values with regression ABC. Zbl 06873718
Nott, David J.; Drovandi, Christopher C.; Mengersen, Kerrie; Evans, Michael
3
2018
Estimation of nonstationary spatial covariance structure. Zbl 1036.62096
Nott, David J.; Dunsmuir, William T. M.
3
2002
Variational inference for sparse spectrum Gaussian process regression. Zbl 1356.62040
Tan, Linda S. L.; Ong, Victor M. H.; Nott, David J.; Jasra, Ajay
3
2016
A simple approach to constructing quasi-Sudoku-based sliced space-filling designs. Zbl 1421.62106
Donovan, Diane; Haaland, Benjamin; Nott, David J.
3
2017
Using prior expansions for prior-data conflict checking. Zbl 1480.62150
Nott, David J.; Seah, Max; Al-Labadi, Luai; Evans, Michael; Ng, Hui Khoon; Englert, Berthold-Georg
3
2021
Monte Carlo sampling from the quantum state space. II. Zbl 1452.81019
Seah, Yi-Lin; Shang, Jiangwei; Ng, Hui Khoon; Nott, David John; Englert, Berthold-Georg
3
2015
Marginally calibrated deep distributional regression. Zbl 07499875
Klein, Nadja; Nott, David J.; Smith, Michael Stanley
3
2021
Sparse signal shrinkage and outlier detection in high-dimensional quantile regression with variational Bayes. Zbl 07161113
Lim, Daeyoung; Park, Beomjo; Nott, David; Wang, Xueou; Choi, Taeryon
3
2020
Functional regression approximate Bayesian computation for Gaussian process density estimation. Zbl 1466.62185
Rodrigues, G. S.; Nott, David J.; Sisson, S. A.
3
2016
Predictive performance of Dirichlet process shrinkage methods in linear regression. Zbl 1452.62506
Nott, David J.
2
2008
A variational Bayes approach to a semiparametric regression using Gaussian process priors. Zbl 1473.62138
Ong, Victor M. H.; Mensah, David K.; Nott, David J.; Jo, Seongil; Park, Beomjo; Choi, Taeryon
2
2017
Bayesian subset selection and model averaging using a centred and dispersed prior for the error variance. Zbl 1108.62023
Cripps, Edward; Kohn, Robert; Nott, David
1
2006
Importance sampling as a variational approximation. Zbl 1221.65029
Nott, David J.; Li, Jialiang; Fielding, Mark
1
2011
Bayesian spatial modelling of gamma ray count data. Zbl 1138.86313
Leonte, Daniela; Nott, David J.
1
2006
Definite integrals of generalized functions. Zbl 0417.28007
Nott, David
1
1978
Functional models for longitudinal data with covariate dependent smoothness. Zbl 1332.62136
Mensah, David K.; Nott, David J.; Tan, Linda S. L.; Marshall, Lucy
1
2016
Analysis of clustered binary data with unequal cluster sizes: a semiparametric Bayesian approach. Zbl 1306.62317
Nott, David J.; Kuk, Anthony Y. C.
1
2010
Smoothing and change point detection for Gamma ray count data. Zbl 1019.62109
Leonte, Daniela; Nott, David J.; Dunsmuir, William T. M.
1
2003
Conditionally structured variational Gaussian approximation with importance weights. Zbl 1452.62600
Tan, Linda S. L.; Bhaskaran, Aishwarya; Nott, David J.
1
2020
Weakly informative priors and prior-data conflict checking for likelihood-free inference. Zbl 07738986
Chakraborty, Atlanta; Nott, David J.; Evans, Michael
1
2023
Bayesian estimation of varying-coefficient models with missing data, with application to the Singapore Longitudinal Aging Study. Zbl 1457.62112
Huang, Zhipeng; Li, Jialiang; Nott, David; Feng, Lei; Ng, Tze-Pin; Wong, Tien-Yin
1
2015
Mixtures of experts for understanding model discrepancy in dynamic computer models. Zbl 1471.62151
Nott, David J.; Marshall, Lucy; Fielding, Mark; Liong, Shie-Yui
1
2014
Bayesian restricted likelihood methods: conditioning on insufficient statistics in Bayesian regression (with discussion). Zbl 07808156
Lewis, John R.; MacEachern, Steven N.; Lee, Yoonkyung
1
2021
Weakly informative priors and prior-data conflict checking for likelihood-free inference. Zbl 07738986
Chakraborty, Atlanta; Nott, David J.; Evans, Michael
1
2023
Fast and accurate variational inference for models with many latent variables. Zbl 07585119
Loaiza-Maya, Rubén; Smith, Michael Stanley; Nott, David J.; Danaher, Peter J.
4
2022
Assessment and adjustment of approximate inference algorithms using the law of total variance. Zbl 07499931
Yu, Xuejun; Nott, David J.; Tran, Minh-Ngoc; Klein, Nadja
4
2021
Using prior expansions for prior-data conflict checking. Zbl 1480.62150
Nott, David J.; Seah, Max; Al-Labadi, Luai; Evans, Michael; Ng, Hui Khoon; Englert, Berthold-Georg
3
2021
Marginally calibrated deep distributional regression. Zbl 07499875
Klein, Nadja; Nott, David J.; Smith, Michael Stanley
3
2021
Bayesian restricted likelihood methods: conditioning on insufficient statistics in Bayesian regression (with discussion). Zbl 07808156
Lewis, John R.; MacEachern, Steven N.; Lee, Yoonkyung
1
2021
Robust Bayesian synthetic likelihood via a semi-parametric approach. Zbl 1436.62090
An, Ziwen; Nott, David J.; Drovandi, Christopher
10
2020
Checking for prior-data conflict using prior-to-posterior divergences. Zbl 07292511
Nott, David J.; Wang, Xueou; Evans, Michael; Englert, Berthold-Georg
9
2020
Bayesian deep net GLM and GLMM. Zbl 07499275
Tran, M.-N.; Nguyen, N.; Nott, D.; Kohn, R.
8
2020
High-dimensional copula variational approximation through transformation. Zbl 07500353
Smith, Michael Stanley; Loaiza-Maya, Rubén; Nott, David J.
6
2020
Likelihood-free approximate Gibbs sampling. Zbl 1447.62012
Rodrigues, G. S.; Nott, David J.; Sisson, S. A.
4
2020
Sparse signal shrinkage and outlier detection in high-dimensional quantile regression with variational Bayes. Zbl 07161113
Lim, Daeyoung; Park, Beomjo; Nott, David; Wang, Xueou; Choi, Taeryon
3
2020
Conditionally structured variational Gaussian approximation with importance weights. Zbl 1452.62600
Tan, Linda S. L.; Bhaskaran, Aishwarya; Nott, David J.
1
2020
Accelerating Bayesian synthetic likelihood with the graphical Lasso. Zbl 07499068
An, Ziwen; South, Leah F.; Nott, David J.; Drovandi, Christopher C.
8
2019
Multilevel Monte Carlo in approximate Bayesian computation. Zbl 1426.65005
Jasra, Ajay; Jo, Seongil; Nott, David; Shoemaker, Christine; Tempone, Raul
7
2019
Bayesian synthetic likelihood. Zbl 07498962
Price, L. F.; Drovandi, C. C.; Lee, A.; Nott, D. J.
38
2018
Gaussian variational approximation with a factor covariance structure. Zbl 07498925
Ong, Victor M.-H.; Nott, David J.; Smith, Michael S.
17
2018
Gaussian variational approximation with sparse precision matrices. Zbl 1384.62105
Tan, Linda S. L.; Nott, David J.
16
2018
Variational Bayes with synthetic likelihood. Zbl 1384.65015
Ong, Victor M. H.; Nott, David J.; Tran, Minh-Ngoc; Sisson, Scott A.; Drovandi, Christopher C.
15
2018
Likelihood-free inference in high dimensions with synthetic likelihood. Zbl 1469.62123
Ong, Victor M.-H.; Nott, David J.; Tran, Minh-Ngoc; Sisson, Scott A.; Drovandi, Christopher C.
8
2018
Approximation of Bayesian predictive \(p\)-values with regression ABC. Zbl 06873718
Nott, David J.; Drovandi, Christopher C.; Mengersen, Kerrie; Evans, Michael
3
2018
Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model. Zbl 1466.62136
Li, J.; Nott, D. J.; Fan, Y.; Sisson, S. A.
15
2017
A simple approach to constructing quasi-Sudoku-based sliced space-filling designs. Zbl 1421.62106
Donovan, Diane; Haaland, Benjamin; Nott, David J.
3
2017
A variational Bayes approach to a semiparametric regression using Gaussian process priors. Zbl 1473.62138
Ong, Victor M. H.; Mensah, David K.; Nott, David J.; Jo, Seongil; Park, Beomjo; Choi, Taeryon
2
2017
Variational inference for sparse spectrum Gaussian process regression. Zbl 1356.62040
Tan, Linda S. L.; Ong, Victor M. H.; Nott, David J.; Jasra, Ajay
3
2016
Functional regression approximate Bayesian computation for Gaussian process density estimation. Zbl 1466.62185
Rodrigues, G. S.; Nott, David J.; Sisson, S. A.
3
2016
Functional models for longitudinal data with covariate dependent smoothness. Zbl 1332.62136
Mensah, David K.; Nott, David J.; Tan, Linda S. L.; Marshall, Lucy
1
2016
Monte Carlo sampling from the quantum state space. I. Zbl 1452.81020
Shang, Jiangwei; Seah, Yi-Lin; Ng, Hui Khoon; Nott, David John; Englert, Berthold-Georg
5
2015
Monte Carlo sampling from the quantum state space. II. Zbl 1452.81019
Seah, Yi-Lin; Shang, Jiangwei; Ng, Hui Khoon; Nott, David John; Englert, Berthold-Georg
3
2015
Bayesian estimation of varying-coefficient models with missing data, with application to the Singapore Longitudinal Aging Study. Zbl 1457.62112
Huang, Zhipeng; Li, Jialiang; Nott, David; Feng, Lei; Ng, Tze-Pin; Wong, Tien-Yin
1
2015
Bayesian adaptive Lasso. Zbl 1334.62130
Leng, Chenlei; Tran, Minh-Ngoc; Nott, David
33
2014
A stochastic variational framework for fitting and diagnosing generalized linear mixed models. Zbl 1327.62167
Tan, Linda S. L.; Nott, David J.
8
2014
Mixtures of experts for understanding model discrepancy in dynamic computer models. Zbl 1471.62151
Nott, David J.; Marshall, Lucy; Fielding, Mark; Liong, Shie-Yui
1
2014
Variational inference for generalized linear mixed models using partially noncentered parametrizations. Zbl 1331.62167
Tan, Linda S. L.; Nott, David J.
17
2013
Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation. With discussion and authors’ reply. Zbl 1411.62057
Fearnhead, Paul; Prangle, Dennis
79
2012
Generalized smooth finite mixtures. Zbl 1443.62085
Villani, Mattias; Kohn, Robert; Nott, David J.
9
2012
Variational approximation for heteroscedastic linear models and matching pursuit algorithms. Zbl 1322.62031
Nott, David J.; Tran, Minh-Ngoc; Leng, Chenlei
7
2012
The predictive Lasso. Zbl 1252.62075
Tran, Minh-Ngoc; Nott, David J.; Leng, Chenlei
6
2012
The ensemble Kalman filter is an ABC algorithm. Zbl 1252.62094
Nott, David J.; Marshall, Lucy; Ngoc, Tran Minh
6
2012
Simultaneous variable selection and component selection for regression density estimation with mixtures of heteroscedastic experts. Zbl 1295.62039
Tran, Minh-Ngoc; Nott, David J.; Kohn, Robert
6
2012
Importance sampling as a variational approximation. Zbl 1221.65029
Nott, David J.; Li, Jialiang; Fielding, Mark
1
2011
Stability selection. With discussion and authors’ reply. Zbl 1411.62142
Meinshausen, Nicolai; Bühlmann, Peter
186
2010
Bayesian projection approaches to variable selection in generalized linear models. Zbl 1284.62461
Nott, David J.; Leng, Chenlei
10
2010
Analysis of clustered binary data with unequal cluster sizes: a semiparametric Bayesian approach. Zbl 1306.62317
Nott, David J.; Kuk, Anthony Y. C.
1
2010
Confidence interval for the bootstrap \(P\)-value and sample size calculation of the bootstrap test. Zbl 1165.62316
Li, Jialiang; Tai, Bee Choo; Nott, David J.
6
2009
Variable selection and model averaging in semiparametric overdispersed generalized linear models. Zbl 1469.62311
Cottet, Remy; Kohn, Robert J.; Nott, David J.
10
2008
Predictive performance of Dirichlet process shrinkage methods in linear regression. Zbl 1452.62506
Nott, David J.
2
2008
Semiparametric estimation of mean and variance functions for non-Gaussian data. Zbl 1164.62342
Nott, David
7
2006
Bayesian subset selection and model averaging using a centred and dispersed prior for the error variance. Zbl 1108.62023
Cripps, Edward; Kohn, Robert; Nott, David
1
2006
Bayesian spatial modelling of gamma ray count data. Zbl 1138.86313
Leonte, Daniela; Nott, David J.
1
2006
Adaptive sampling for Bayesian variable selection. Zbl 1160.62312
Nott, David J.; Kohn, Robert
24
2005
Space-time modelling of Sydney Harbour winds. Zbl 1108.62125
Cripps, Edward; Nott, David; Dunsmuir, William T. M.; Wikle, Christopher
3
2005
Smoothing and change point detection for Gamma ray count data. Zbl 1019.62109
Leonte, Daniela; Nott, David J.; Dunsmuir, William T. M.
1
2003
Estimation of nonstationary spatial covariance structure. Zbl 1036.62096
Nott, David J.; Dunsmuir, William T. M.
3
2002
A pairwise likelihood approach to analyzing correlated binary data. Zbl 0973.62056
Kuk, Anthony Y. C.; Nott, David J.
34
2000
Multi-phase image modelling with excursion sets. Zbl 1037.94505
Nott, D. J.; Wilson, R. J.
4
2000
Pairwise likelihood methods for inference in image models. Zbl 0938.62108
Nott, David J.; Rydén, Tobias
14
1999
Parameter estimation for excursion set texture models. Zbl 0901.62116
Nott, David J.; Wilson, Richard J.
3
1997
Latin squares: Critical sets and their lower bounds. Zbl 0834.05014
Donovan, Diane; Cooper, Joan; Nott, D. J.; Seberry, Jennifer
6
1995
Definite integrals of generalized functions. Zbl 0417.28007
Nott, David
1
1978
all top 5

Cited by 585 Authors

31 Nott, David John
15 Drovandi, Christopher C.
12 Tran, Minh Ngoc
8 Kohn, Robert J.
8 Sisson, Scott A.
8 Tan, Linda S. L.
7 Frazier, David T.
7 Smith, Michael Stanley
7 Wand, Matthew P.
6 Loaiza-Maya, Rubén
5 Corander, Jukka
5 Feddag, Mohand-Larbi
5 Jasra, Ajay
5 Kneib, Thomas
5 Vehtari, Aki
5 Warne, David J.
4 Alhamzawi, Rahim
4 Baker, Ruth Elizabeth
4 Evans, Michael John
4 Gijbels, Irène
4 Gutmann, Michael U.
4 Kaski, Samuel
4 Klein, Nadja
4 Ntzoufras, Ioannis
4 Ong, Victor M. H.
4 Villani, Mattias
3 Al-Labadi, Luai
3 Ali, Haithem Taha Mohammad
3 Fouskakis, Dimitris
3 Järvenpää, Marko
3 Jo, Seongil
3 Li, Jialiang
3 Lian, Heng
3 Paroli, Roberta
3 Pesonen, Henri
3 Prangle, Dennis
3 Prescott, Thomas P.
3 Simpson, Matthew J.
3 Varin, Cristiano
3 Wikle, Christopher K.
3 Zhao, Huixiu
2 An, Ziwen
2 Ando, Tomohiro
2 Apanasovich, Tatiyana V.
2 Arbel, Julyan
2 Aushev, Alexander
2 Bai, Jushan
2 Carroll, Raymond James
2 Craiu, Radu V.
2 Curtis, S. McKay
2 de Leon, Alexander R.
2 Dunson, David Brian
2 Dutta, Ritabrata
2 Englert, Berthold-Georg
2 Estrade, Anne
2 Everitt, Richard Geoffrey
2 Fahrmeir, Ludwig
2 Feng, Xiangnan
2 Forster, Jonathan J.
2 Gerlach, Richard H.
2 Ghosh, Sujit Kumar
2 Grazian, Clara
2 Haario, Heikki
2 Joe, Harry
2 Karabatsos, George
2 Kratz, Marie-France
2 Kuipers, Jack B.
2 Kuk, Anthony Yung Cheung
2 Lang, Stefan M.
2 Leng, Chenlei
2 Li, Feng
2 Liu, Li
2 Ma, Wenqing
2 Maestrini, Luca
2 Maiti, Tapabrata
2 Mallick, Himel
2 Martin, Gael M.
2 Marttinen, Pekka
2 Moffa, Giusi
2 Norets, Andriy
2 Panagiotelis, Anastasios
2 Pati, Debdeep
2 Picchini, Umberto
2 Piironen, Juho
2 Polson, Nicholas G.
2 Preisser, John S.
2 Prosdocimi, Ilaria
2 Qaqish, Bahjat F.
2 Rodrigues, Guilherme Souza
2 Ruppert, David
2 Šaltytė-Benth, Jūratė
2 Scheipl, Fabian
2 Simola, Umberto
2 Slater, Paul B.
2 South, Leah F.
2 Spezia, Luigi
2 Srivastava, Sanvesh
2 Sugasawa, Shonosuke
2 Ventura, Laura
2 Wang, Xueou
...and 485 more Authors
all top 5

Cited in 87 Serials

36 Statistics and Computing
29 Computational Statistics and Data Analysis
20 Journal of Computational and Graphical Statistics
20 Bayesian Analysis
12 Journal of the American Statistical Association
11 Journal of Applied Statistics
9 Journal of Econometrics
9 Electronic Journal of Statistics
8 Computational Statistics
8 Journal of Statistical Computation and Simulation
6 Scandinavian Journal of Statistics
6 Biometrics
6 Communications in Statistics. Simulation and Computation
6 Communications in Statistics. Theory and Methods
6 Journal of Agricultural, Biological, and Environmental Statistics
5 International Statistical Review
5 Statistics & Probability Letters
5 Statistical Science
4 Journal of Computational Physics
4 Journal of Multivariate Analysis
4 Australian & New Zealand Journal of Statistics
4 Journal of Machine Learning Research (JMLR)
4 The Annals of Applied Statistics
3 The Canadian Journal of Statistics
3 Journal of Statistical Planning and Inference
3 Test
3 AStA. Advances in Statistical Analysis
2 Computer Methods in Applied Mechanics and Engineering
2 Annals of the Institute of Statistical Mathematics
2 Biometrical Journal
2 Statistics
2 SIAM Journal on Scientific Computing
2 Journal of Nonparametric Statistics
2 Extremes
2 Econometric Theory
2 Quantum Information Processing
2 Advances in Data Analysis and Classification. ADAC
2 Journal of Statistical Theory and Practice
2 Statistics Surveys
1 Advances in Applied Probability
1 The American Statistician
1 Bulletin of the Australian Mathematical Society
1 Discrete Mathematics
1 Journal of Mathematical Analysis and Applications
1 Mathematical Biosciences
1 Metrika
1 Physica A
1 Psychometrika
1 Journal of Computational and Applied Mathematics
1 SIAM Journal on Control and Optimization
1 European Journal of Combinatorics
1 Journal of Time Series Analysis
1 Stochastic Analysis and Applications
1 Journal of Economic Dynamics & Control
1 Annals of Operations Research
1 Multidimensional Systems and Signal Processing
1 Machine Learning
1 Designs, Codes and Cryptography
1 Aequationes Mathematicae
1 European Journal of Operational Research
1 Stochastic Processes and their Applications
1 Mathematical Methods of Statistics
1 Journal of the Royal Statistical Society. Series B. Statistical Methodology
1 Proceedings of the Royal Society of London. Series A. Mathematical, Physical and Engineering Sciences
1 New Journal of Physics
1 Brazilian Journal of Probability and Statistics
1 Scandinavian Actuarial Journal
1 Mathematical Geology
1 Statistical Modelling
1 Hacettepe Journal of Mathematics and Statistics
1 Asia-Pacific Financial Markets
1 Inverse Problems in Science and Engineering
1 Journal of the Korean Statistical Society
1 Journal of Physics A: Mathematical and Theoretical
1 Foundations and Trends in Econometrics
1 Mathematical Geosciences
1 International Journal of Biomathematics
1 Groups, Complexity, Cryptology
1 Science China. Mathematics
1 Journal of Business and Economic Statistics
1 Journal of Probability and Statistics
1 SIAM/ASA Journal on Uncertainty Quantification
1 AIMS Mathematics
1 Statistical Theory and Related Fields
1 Electronic Research Archive
1 Foundations of Data Science
1 Environmetrics

Citations by Year