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Polson, Nicholas G.

Author ID: polson.nicholas-g Recent zbMATH articles by "Polson, Nicholas G."
Published as: Polson, Nicholas G.; Polson, Nicholas; Polson, N. G.
External Links: MGP · Wikidata · GND

Publications by Year

Citations contained in zbMATH Open

59 Publications have been cited 1,235 times in 961 Documents Cited by Year
The horseshoe estimator for sparse signals. Zbl 1406.62021
Carvalho, Carlos M.; Polson, Nicholas G.; Scott, James G.
254
2010
Bayesian inference for logistic models using Pólya-Gamma latent variables. Zbl 1283.62055
Polson, Nicholas G.; Scott, James G.; Windle, Jesse
155
2013
Bayesian analysis of stochastic volatility models with fat-tails and correlated errors. Zbl 1328.91254
Jacquier, Eric; Polson, Nicholas G.; Rossi, Peter E.
121
2004
On the half-Cauchy prior for a global scale parameter. Zbl 1330.62148
Polson, Nicholas G.; Scott, James G.
72
2012
Particle learning and smoothing. Zbl 1328.62541
Carvalho, Carlos M.; Johannes, Michael S.; Lopes, Hedibert F.; Polson, Nicholas G.
56
2010
A Bayesian analysis of the multinomial probit model with fully identified parameters. Zbl 0958.62029
McCulloch, Robert E.; Polson, Nicholas G.; Rossi, Peter E.
44
2000
The horseshoe+ estimator of ultra-sparse signals. Zbl 1384.62079
Bhadra, Anindya; Datta, Jyotishka; Polson, Nicholas G.; Willard, Brandon
36
2017
Uncertainty quantification for the horseshoe (with discussion). Zbl 1384.62155
van der Pas, Stéphanie; Szabó, Botond; van der Vaart, Aad
35
2017
Proximal algorithms in statistics and machine learning. Zbl 1426.62213
Polson, Nicholas G.; Scott, James G.; Willard, Brandon T.
33
2015
Inference for nonconjugate Bayesian models using the Gibbs sampler. Zbl 0850.62285
Carlin, Bradley P.; Polson, Nicholas G.
26
1991
Lasso meets horseshoe: a survey. Zbl 1429.62308
Bhadra, Anindya; Datta, Jyotishka; Polson, Nicholas G.; Willard, Brandon
26
2019
Tracking epidemics with google flu trends data and a state-space SEIR model. Zbl 1258.62102
Dukic, Vanja; Lopes, Hedibert F.; Polson, Nicholas G.
26
2012
Diagnostic measures for model criticism. Zbl 0868.62012
Carota, Cinzia; Parmigiani, Giovanni; Polson, Nicholas G.
25
1996
On the geometric convergence of the Gibbs sampler. Zbl 0796.62029
Roberts, Gareth O.; Polson, Nicholas G.
24
1994
The Bayesian bridge. Zbl 07555460
Polson, Nicholas G.; Scott, James G.; Windle, Jesse
24
2014
Practical filtering with sequential parameter learning. Zbl 1351.62177
Polson, Nicholas G.; Stroud, Jonathan R.; Müller, Peter
22
2008
Data augmentation for support vector machines. Zbl 1330.62258
Polson, Nicholas G.; Scott, Steven L.
21
2011
Particle learning for general mixtures. Zbl 1330.62348
Carvalho, Carlos M.; Lopes, Hedibert F.; Polson, Nicholas G.; Taddy, Matt A.
21
2010
Dynamic trees for learning and design. Zbl 1396.62158
Taddy, Matthew A.; Gramacy, Robert B.; Polson, Nicholas G.
21
2011
Local shrinkage rules, Lévy processes and regularized regression. Zbl 1411.62209
Polson, Nicholas G.; Scott, James G.
21
2012
Deep learning for finance: deep portfolios. Zbl 1420.91415
Heaton, J. B.; Polson, N. G.; Witte, J. H.
19
2017
MCMC maximum likelihood for latent state models. Zbl 1360.62086
Jacquier, Eric; Johannes, Michael; Polson, Nicholas
16
2007
Default Bayesian analysis with global-local shrinkage priors. Zbl 1506.62343
Bhadra, Anindya; Datta, Jyotishka; Polson, Nicholas G.; Willard, Brandon
16
2016
Deep learning: a Bayesian perspective. Zbl 1386.68139
Polson, Nicholas G.; Sokolov, Vadim
14
2017
Simulation-based regularized logistic regression. Zbl 1330.62301
Gramacy, Robert B.; Polson, Nicholas G.
13
2012
Bayesian analysis of stochastic volatility models. Zbl 1082.62103
Jacquier, Eric; Polson, Nicholas G.; Rossi, Peter E.
12
2005
Bayesian theory and applications. Zbl 1277.62082
11
2013
Nonlinear state-space models with state-dependent variances. Zbl 1041.62077
Stroud, Jonathan R.; Müller, Peter; Polson, Nicholas G.
10
2003
Data augmentation for non-Gaussian regression models using variance-mean mixtures. Zbl 1284.62463
Polson, N. G.; Scott, J. G.
10
2013
On the expected amount of information from a non-linear model. Zbl 0774.62064
Polson, Nicholas G.
7
1992
Prediction risk for the horseshoe regression. Zbl 1489.62196
Bhadra, Anindya; Datta, Jyotishka; Li, Yunfan; Polson, Nicholas G.; Willard, Brandon
7
2019
Bayes factors for discrete observations from diffusion processes. Zbl 0815.62069
Polson, Nicholas G.; Roberts, Gareth O.
6
1994
Augmented nested sampling for stochastic programs with recourse and endogenous uncertainty. Zbl 1411.90236
Ekin, Tahir; Polson, Nicholas G.; Soyer, Refik
6
2017
Good, great, or lucky? Screening for firms with sustained superior performance using heavy-tailed priors. Zbl 1235.91144
Polson, Nicholas G.; Scott, James G.
5
2012
Augmented Markov chain Monte Carlo simulation for two-stage stochastic programs with recourse. Zbl 1398.91176
Ekin, Tahir; Polson, Nicholas G.; Soyer, Refik
5
2014
A representation of the posterior mean for a location model. Zbl 0738.62032
Polson, Nicholas G.
4
1991
Mixtures, envelopes and hierarchical duality. Zbl 1414.62056
Polson, Nicholas G.; Scott, James G.
4
2016
Practical filtering for stochastic volatility models. Zbl 05280148
Stroud, Jonathan R.; Polson, Nicholas G.; Müller, Peter
3
2004
Predictive macro-finance with dynamic partition models. Zbl 1232.62140
Zantedeschi, Daniel; Damien, Paul; Polson, Nicholas G.
3
2011
Particle filtering. Zbl 1178.62107
Johannes, Michael; Polson, Nicholas
3
2009
Weighted Bayesian bootstrap for scalable posterior distributions. Zbl 07759585
Newton, Michael A.; Polson, Nicholas G.; Xu, Jianeng
3
2021
Particle learning for fat-tailed distributions. Zbl 1491.62161
Lopes, Hedibert F.; Polson, Nicholas G.
3
2016
Optimal portfolio choice and stochastic volatility. Zbl 1286.91126
Gron, Anne; Jørgensen, Bjørn N.; Polson, Nicholas G.
3
2012
Statistical sparsity. Zbl 1506.62450
McCullagh, Peter; Polson, Nicholas G.
3
2018
Bayesian analysis of traffic flow on interstate I-55: the LWR model. Zbl 1397.62569
Polson, Nicholas; Sokolov, Vadim
2
2015
A family of multivariate non-Gaussian time series models. Zbl 1453.62625
Aktekin, Tevfik; Polson, Nicholas G.; Soyer, Refik
2
2020
Horseshoe regularisation for machine learning in complex and deep models. Zbl 07776797
Bhadra, Anindya; Datta, Jyotishka; Li, Yunfan; Polson, Nicholas
2
2020
A simulation-based approach to stochastic dynamic programming. Zbl 1277.90144
Polson, Nicholas G.; Sorensen, Morten
2
2011
A deconvolution path for mixtures. Zbl 1404.62033
Madrid-Padilla, Oscar-Hernan; Polson, Nicholas G.; Scott, James
2
2018
The horseshoe-like regularization for feature subset selection. Zbl 1469.62303
Bhadra, Anindya; Datta, Jyotishka; Polson, Nicholas G.; Willard, Brandon T.
2
2021
Bayesian statistics with a smile: a resampling-sampling perspective. Zbl 1319.62062
Lopes, Hedibert F.; Polson, Nicholas G.; Carvalho, Carlos M.
1
2012
Markov chain Monte Carlo. Zbl 1179.62040
Johannes, Michael; Polson, Nicholas
1
2009
A utility based approach to information for stochastic differential equations. Zbl 0795.62002
Polson, Nicholas G.; Roberts, Gareth O.
1
1993
Rejoinder: “Data augmentation for support vector machines”. Zbl 1330.62259
Polson, Nicholas G.; Scott, Steven L.
1
2011
Bayesian theory and applications. Reprint of the 2013 hardback edition. Zbl 1307.62008
1
2015
Global-local mixtures: a unifying framework. Zbl 1451.62038
Bhadra, Anindya; Datta, Jyotishka; Polson, Nicholas G.; Willard, Brandon T.
1
2020
Bayesian instrumental variables: priors and likelihoods. Zbl 1491.62244
Lopes, Hedibert F.; Polson, Nicholas G.
1
2014
Sequential Bayesian learning for stochastic volatility with variance-gamma jumps in returns. Zbl 1396.62249
Warty, Samir P.; Lopes, Hedibert F.; Polson, Nicholas G.
1
2018
Why indexing works. Zbl 1420.91416
Heaton, J. B.; Polson, N. G.; Witte, J. H.
1
2017
Weighted Bayesian bootstrap for scalable posterior distributions. Zbl 07759585
Newton, Michael A.; Polson, Nicholas G.; Xu, Jianeng
3
2021
The horseshoe-like regularization for feature subset selection. Zbl 1469.62303
Bhadra, Anindya; Datta, Jyotishka; Polson, Nicholas G.; Willard, Brandon T.
2
2021
A family of multivariate non-Gaussian time series models. Zbl 1453.62625
Aktekin, Tevfik; Polson, Nicholas G.; Soyer, Refik
2
2020
Horseshoe regularisation for machine learning in complex and deep models. Zbl 07776797
Bhadra, Anindya; Datta, Jyotishka; Li, Yunfan; Polson, Nicholas
2
2020
Global-local mixtures: a unifying framework. Zbl 1451.62038
Bhadra, Anindya; Datta, Jyotishka; Polson, Nicholas G.; Willard, Brandon T.
1
2020
Lasso meets horseshoe: a survey. Zbl 1429.62308
Bhadra, Anindya; Datta, Jyotishka; Polson, Nicholas G.; Willard, Brandon
26
2019
Prediction risk for the horseshoe regression. Zbl 1489.62196
Bhadra, Anindya; Datta, Jyotishka; Li, Yunfan; Polson, Nicholas G.; Willard, Brandon
7
2019
Statistical sparsity. Zbl 1506.62450
McCullagh, Peter; Polson, Nicholas G.
3
2018
A deconvolution path for mixtures. Zbl 1404.62033
Madrid-Padilla, Oscar-Hernan; Polson, Nicholas G.; Scott, James
2
2018
Sequential Bayesian learning for stochastic volatility with variance-gamma jumps in returns. Zbl 1396.62249
Warty, Samir P.; Lopes, Hedibert F.; Polson, Nicholas G.
1
2018
The horseshoe+ estimator of ultra-sparse signals. Zbl 1384.62079
Bhadra, Anindya; Datta, Jyotishka; Polson, Nicholas G.; Willard, Brandon
36
2017
Uncertainty quantification for the horseshoe (with discussion). Zbl 1384.62155
van der Pas, Stéphanie; Szabó, Botond; van der Vaart, Aad
35
2017
Deep learning for finance: deep portfolios. Zbl 1420.91415
Heaton, J. B.; Polson, N. G.; Witte, J. H.
19
2017
Deep learning: a Bayesian perspective. Zbl 1386.68139
Polson, Nicholas G.; Sokolov, Vadim
14
2017
Augmented nested sampling for stochastic programs with recourse and endogenous uncertainty. Zbl 1411.90236
Ekin, Tahir; Polson, Nicholas G.; Soyer, Refik
6
2017
Why indexing works. Zbl 1420.91416
Heaton, J. B.; Polson, N. G.; Witte, J. H.
1
2017
Default Bayesian analysis with global-local shrinkage priors. Zbl 1506.62343
Bhadra, Anindya; Datta, Jyotishka; Polson, Nicholas G.; Willard, Brandon
16
2016
Mixtures, envelopes and hierarchical duality. Zbl 1414.62056
Polson, Nicholas G.; Scott, James G.
4
2016
Particle learning for fat-tailed distributions. Zbl 1491.62161
Lopes, Hedibert F.; Polson, Nicholas G.
3
2016
Proximal algorithms in statistics and machine learning. Zbl 1426.62213
Polson, Nicholas G.; Scott, James G.; Willard, Brandon T.
33
2015
Bayesian analysis of traffic flow on interstate I-55: the LWR model. Zbl 1397.62569
Polson, Nicholas; Sokolov, Vadim
2
2015
Bayesian theory and applications. Reprint of the 2013 hardback edition. Zbl 1307.62008
1
2015
The Bayesian bridge. Zbl 07555460
Polson, Nicholas G.; Scott, James G.; Windle, Jesse
24
2014
Augmented Markov chain Monte Carlo simulation for two-stage stochastic programs with recourse. Zbl 1398.91176
Ekin, Tahir; Polson, Nicholas G.; Soyer, Refik
5
2014
Bayesian instrumental variables: priors and likelihoods. Zbl 1491.62244
Lopes, Hedibert F.; Polson, Nicholas G.
1
2014
Bayesian inference for logistic models using Pólya-Gamma latent variables. Zbl 1283.62055
Polson, Nicholas G.; Scott, James G.; Windle, Jesse
155
2013
Bayesian theory and applications. Zbl 1277.62082
11
2013
Data augmentation for non-Gaussian regression models using variance-mean mixtures. Zbl 1284.62463
Polson, N. G.; Scott, J. G.
10
2013
On the half-Cauchy prior for a global scale parameter. Zbl 1330.62148
Polson, Nicholas G.; Scott, James G.
72
2012
Tracking epidemics with google flu trends data and a state-space SEIR model. Zbl 1258.62102
Dukic, Vanja; Lopes, Hedibert F.; Polson, Nicholas G.
26
2012
Local shrinkage rules, Lévy processes and regularized regression. Zbl 1411.62209
Polson, Nicholas G.; Scott, James G.
21
2012
Simulation-based regularized logistic regression. Zbl 1330.62301
Gramacy, Robert B.; Polson, Nicholas G.
13
2012
Good, great, or lucky? Screening for firms with sustained superior performance using heavy-tailed priors. Zbl 1235.91144
Polson, Nicholas G.; Scott, James G.
5
2012
Optimal portfolio choice and stochastic volatility. Zbl 1286.91126
Gron, Anne; Jørgensen, Bjørn N.; Polson, Nicholas G.
3
2012
Bayesian statistics with a smile: a resampling-sampling perspective. Zbl 1319.62062
Lopes, Hedibert F.; Polson, Nicholas G.; Carvalho, Carlos M.
1
2012
Data augmentation for support vector machines. Zbl 1330.62258
Polson, Nicholas G.; Scott, Steven L.
21
2011
Dynamic trees for learning and design. Zbl 1396.62158
Taddy, Matthew A.; Gramacy, Robert B.; Polson, Nicholas G.
21
2011
Predictive macro-finance with dynamic partition models. Zbl 1232.62140
Zantedeschi, Daniel; Damien, Paul; Polson, Nicholas G.
3
2011
A simulation-based approach to stochastic dynamic programming. Zbl 1277.90144
Polson, Nicholas G.; Sorensen, Morten
2
2011
Rejoinder: “Data augmentation for support vector machines”. Zbl 1330.62259
Polson, Nicholas G.; Scott, Steven L.
1
2011
The horseshoe estimator for sparse signals. Zbl 1406.62021
Carvalho, Carlos M.; Polson, Nicholas G.; Scott, James G.
254
2010
Particle learning and smoothing. Zbl 1328.62541
Carvalho, Carlos M.; Johannes, Michael S.; Lopes, Hedibert F.; Polson, Nicholas G.
56
2010
Particle learning for general mixtures. Zbl 1330.62348
Carvalho, Carlos M.; Lopes, Hedibert F.; Polson, Nicholas G.; Taddy, Matt A.
21
2010
Particle filtering. Zbl 1178.62107
Johannes, Michael; Polson, Nicholas
3
2009
Markov chain Monte Carlo. Zbl 1179.62040
Johannes, Michael; Polson, Nicholas
1
2009
Practical filtering with sequential parameter learning. Zbl 1351.62177
Polson, Nicholas G.; Stroud, Jonathan R.; Müller, Peter
22
2008
MCMC maximum likelihood for latent state models. Zbl 1360.62086
Jacquier, Eric; Johannes, Michael; Polson, Nicholas
16
2007
Bayesian analysis of stochastic volatility models. Zbl 1082.62103
Jacquier, Eric; Polson, Nicholas G.; Rossi, Peter E.
12
2005
Bayesian analysis of stochastic volatility models with fat-tails and correlated errors. Zbl 1328.91254
Jacquier, Eric; Polson, Nicholas G.; Rossi, Peter E.
121
2004
Practical filtering for stochastic volatility models. Zbl 05280148
Stroud, Jonathan R.; Polson, Nicholas G.; Müller, Peter
3
2004
Nonlinear state-space models with state-dependent variances. Zbl 1041.62077
Stroud, Jonathan R.; Müller, Peter; Polson, Nicholas G.
10
2003
A Bayesian analysis of the multinomial probit model with fully identified parameters. Zbl 0958.62029
McCulloch, Robert E.; Polson, Nicholas G.; Rossi, Peter E.
44
2000
Diagnostic measures for model criticism. Zbl 0868.62012
Carota, Cinzia; Parmigiani, Giovanni; Polson, Nicholas G.
25
1996
On the geometric convergence of the Gibbs sampler. Zbl 0796.62029
Roberts, Gareth O.; Polson, Nicholas G.
24
1994
Bayes factors for discrete observations from diffusion processes. Zbl 0815.62069
Polson, Nicholas G.; Roberts, Gareth O.
6
1994
A utility based approach to information for stochastic differential equations. Zbl 0795.62002
Polson, Nicholas G.; Roberts, Gareth O.
1
1993
On the expected amount of information from a non-linear model. Zbl 0774.62064
Polson, Nicholas G.
7
1992
Inference for nonconjugate Bayesian models using the Gibbs sampler. Zbl 0850.62285
Carlin, Bradley P.; Polson, Nicholas G.
26
1991
A representation of the posterior mean for a location model. Zbl 0738.62032
Polson, Nicholas G.
4
1991
all top 5

Cited by 1,928 Authors

25 Polson, Nicholas G.
15 Dunson, David Brian
12 Griffin, Jim E.
11 Lopes, Hedibert Freitas
10 Bhadra, Anindya
8 Durante, Daniele
8 Ghosh, Malay
8 Jones, Galin L.
8 Nott, David John
8 Ročková, Veronika
8 Steel, Mark F. J.
8 Sugasawa, Shonosuke
7 Baladandayuthapani, Veerabhadran
7 Carvalho, Carlos Marinho
7 Khare, Kshitij
7 Roberts, Gareth O.
6 Datta, Jyotishka
6 George, Edward I.
6 Hahn, P. Richard
6 Irie, Kaoru
6 Morris, Jeffrey S.
6 Omori, Yasuhiro
6 Soyer, Refik
5 Abanto-Valle, Carlos Antonio
5 Bhattacharya, Anirban
5 Carota, Cinzia
5 Fearnhead, Paul
5 Ghosal, Subhashis
5 Gramacy, Robert B.
5 Guhaniyogi, Rajarshi
5 Klein, Nadja
5 Kohn, Robert J.
5 Mulder, Joris
5 Ntzoufras, Ioannis
5 Rodríguez, Abel
5 Rubio, Francisco Javier
5 Smith, Michael Stanley
5 Soofi, Ehsan S.
5 Suchard, Marc A.
5 Walker, Stephen Grahm
5 Wand, Matthew P.
5 Willard, Brandon T.
4 Aktekin, Tevfik
4 Aliverti, Emanuele
4 Asai, Manabu
4 Bondell, Howard D.
4 Canale, Antonio
4 Chi, Eric C.
4 Chib, Siddhartha
4 Dey, Dipak Kumar
4 Dominici, Francesca
4 Ekin, Tahir
4 Fox, Jean-Paul
4 Frühwirth-Schnatter, Sylvia
4 Glynn, Chris
4 Jacquier, Eric
4 Kottas, Athanasios
4 Kowal, Daniel R.
4 Lee, Kyoungjae
4 Li, Yunfan
4 Mallick, Bani K.
4 Martin, Ryan
4 McCormick, Tyler H.
4 Migon, Helio S.
4 Minin, Vladimir N.
4 Neelon, Brian H.
4 Ormerod, John T.
4 Parmigiani, Giovanni
4 Pati, Debdeep
4 Pillai, Natesh S.
4 Prado, Raquel
4 Rigon, Tommaso
4 Roy, Vivekananda
4 Rue, Håvard
4 Scott, James G.
4 Stingo, Francesco Claudio
4 Tanizaki, Hisashi
4 Van der Vaart, Adrianus Willem
4 Vannucci, Marina
4 Vehtari, Aki
4 Villa, Cristiano
4 Wakefield, Jon C.
4 Wang, Xin
4 Wikle, Christopher K.
3 Alhamzawi, Rahim
3 Ando, Tomohiro
3 Bai, Ray
3 Bürkner, Paul-Christian
3 Chan, Jennifer So Kuen
3 Chopin, Nicolas
3 Cripps, Edward
3 Crisan, Dan O.
3 Dellaportas, Petros
3 Evans, Michael John
3 Flegal, James M.
3 Franco, Glaura C.
3 Gaskins, Jeremy T.
3 Gelman, Andrew
3 Golightly, Andrew
3 Hamura, Yasuyuki
...and 1,828 more Authors
all top 5

Cited in 157 Serials

65 Bayesian Analysis
64 The Annals of Applied Statistics
59 Computational Statistics and Data Analysis
58 Journal of Econometrics
46 Journal of the American Statistical Association
38 Journal of Computational and Graphical Statistics
36 Statistics and Computing
27 Electronic Journal of Statistics
22 Statistical Science
21 Biometrics
21 Journal of Statistical Computation and Simulation
19 Communications in Statistics. Simulation and Computation
19 Journal of Applied Statistics
18 Journal of Machine Learning Research (JMLR)
16 Statistics & Probability Letters
14 Econometric Reviews
13 The Annals of Statistics
12 Journal of Statistical Planning and Inference
12 Journal of Agricultural, Biological, and Environmental Statistics
11 The Canadian Journal of Statistics
11 Journal of Multivariate Analysis
11 Quantitative Finance
10 European Journal of Operational Research
10 SIAM/ASA Journal on Uncertainty Quantification
9 Psychometrika
9 International Statistical Review
9 Computational Statistics
9 Communications in Statistics. Theory and Methods
8 Studies in Nonlinear Dynamics and Econometrics
8 Statistical Methods and Applications
7 Test
7 Brazilian Journal of Probability and Statistics
7 Sankhyā. Series B
6 Journal of Time Series Analysis
6 Bernoulli
6 Statistical Modelling
5 The American Statistician
5 Biometrical Journal
5 Advances in Data Analysis and Classification. ADAC
5 Journal of Statistical Theory and Practice
5 Sankhyā. Series A
4 Journal of Computational and Applied Mathematics
4 Mathematics and Computers in Simulation
4 Insurance Mathematics & Economics
4 Machine Learning
4 Stochastic Processes and their Applications
4 Statistica Sinica
4 Discrete Dynamics in Nature and Society
4 Applied Stochastic Models in Business and Industry
4 Statistical Methodology
4 Journal of the Korean Statistical Society
4 Statistical Theory and Related Fields
3 Inverse Problems
3 Journal of Computational Physics
3 Mathematical Biosciences
3 Physica A
3 Automatica
3 British Journal of Mathematical & Statistical Psychology
3 Journal of Economic Dynamics & Control
3 Economics Letters
3 Mathematical Problems in Engineering
3 Statistical Analysis and Data Mining
3 AStA. Advances in Statistical Analysis
3 Japanese Journal of Statistics and Data Science
2 Advances in Applied Probability
2 Computer Methods in Applied Mechanics and Engineering
2 International Journal of Control
2 Journal of Mathematical Biology
2 Scandinavian Journal of Statistics
2 Annals of the Institute of Statistical Mathematics
2 International Economic Review
2 Journal of Applied Probability
2 Journal of Mathematical Psychology
2 Mathematics of Operations Research
2 Statistica Neerlandica
2 Acta Mathematicae Applicatae Sinica. English Series
2 Neural Networks
2 Annals of Operations Research
2 Neural Computation
2 The Annals of Applied Probability
2 Applied Mathematical Modelling
2 SIAM Review
2 Computational Optimization and Applications
2 Computational Economics
2 Australian & New Zealand Journal of Statistics
2 Journal of the Royal Statistical Society. Series B. Statistical Methodology
2 Methodology and Computing in Applied Probability
2 Econometric Theory
2 Decisions in Economics and Finance
2 SIAM Journal on Applied Dynamical Systems
2 North American Actuarial Journal
2 Journal of Forecasting
2 SIAM Journal on Imaging Sciences
2 SIAM Journal on Financial Mathematics
2 Statistics Surveys
2 Journal of Business and Economic Statistics
2 SIAM Journal on Mathematics of Data Science
1 Artificial Intelligence
1 Journal of the Franklin Institute
1 Bulletin of Mathematical Biology
...and 57 more Serials

Citations by Year

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