-
1
-
-
70049091620
-
The Gaussian process density sampler
-
Koller, D., Schuurmans, D., Bengio, Y., and Bottou, L. (eds.)
-
Adams, R. P., Murray, I., and MacKay, D. J. C. (2009). "The Gaussian process density sampler." In Koller, D., Schuurmans, D., Bengio, Y., and Bottou, L. (eds.), Advances in Neural Information Processing Systems 21 (NIPS 2008), 9-16.
-
(2009)
Advances in Neural Information Processing Systems 21 (NIPS 2008)
, pp. 9-16
-
-
Adams, R.P.1
Murray, I.2
MacKay, D.J.C.3
-
2
-
-
47649103974
-
Gaussian predictive process models for large spatial data sets
-
Banerjee, S., Gelfand, A. E., Finley, A. O., and Sang, H. (2008). "Gaussian predictive process models for large spatial data sets." Journal of the Royal Statistical Society -Series B, 70: 825-848.
-
(2008)
Journal of the Royal Statistical Society -Series B
, vol.70
, pp. 825-848
-
-
Banerjee, S.1
Gelfand, A.E.2
Finley, A.O.3
Sang, H.4
-
3
-
-
0032367227
-
Can SIR be as Popular as Multiple Linear Regression?
-
Chen, C. H. and Li, K. C. (1998). "Can SIR be as Popular as Multiple Linear Regres-sion?" Statistica Sinica, 8: 289-316.
-
(1998)
Statistica Sinica
, vol.8
, pp. 289-316
-
-
Chen, C.H.1
Li, K.C.2
-
5
-
-
74049106134
-
Nonparametric Bayes conditional distribution modeling with variable selection
-
Chung, Y. and Dunson, D. B. (2009). "Nonparametric Bayes conditional distribution modeling with variable selection." Journal of the American Statistical Association, 104(488): 1646-1660.
-
(2009)
Journal of the American Statistical Association
, vol.104
, Issue.488
, pp. 1646-1660
-
-
Chung, Y.1
Dunson, D.B.2
-
6
-
-
0012390848
-
Using dimension-reduction subspaces to identify important inputs in models of physical systems
-
Washington: American Statistical Association
-
Cook, R. D. (1994). "Using dimension-reduction subspaces to identify important inputs in models of physical systems." In Proceedings of the Section on Physical Engineering Sciences, 18-25. Washington: American Statistical Association.
-
(1994)
Proceedings of the Section on Physical Engineering Sciences
, pp. 18-25
-
-
Cook, R.D.1
-
7
-
-
84881499895
-
Discussion of Sliced Inverse Regression for Dimension Reduction by K C. Li
-
Cook, R. D. and Weisberg, S. (1991). "Discussion of Sliced Inverse Regression for Dimension Reduction by K. C. Li." Journal of the American Statistical Association, 86: 328-332.
-
(1991)
Journal of the American Statistical Association
, vol.86
, pp. 328-332
-
-
Cook, R.D.1
Weisberg, S.2
-
8
-
-
40249086281
-
Kernel Stick-breaking Processes
-
Dunson, D. B. and Park, J. H. (2008). "Kernel Stick-breaking Processes." Biometrika, 95: 307-323.
-
(2008)
Biometrika
, vol.95
, pp. 307-323
-
-
Dunson, D.B.1
Park, J.H.2
-
9
-
-
33847417083
-
Bayesian Density Regression.
-
Dunson, D. B., Pillai, N., and Park, J. H. (2007). "Bayesian Density Regression." Journal of the Royal Statistical Society - Series B, 69: 163-183.
-
(2007)
Journal of the Royal Statistical Society - Series B
, vol.69
, pp. 163-183
-
-
Dunson, D.B.1
Pillai, N.2
Park, J.H.3
-
10
-
-
0004012196
-
-
Chapman & Hall/CRC, 2 edition
-
Gelman, A., Carlin, J. B., Stern, H. S., and Rubin, D. B. (2004). Bayesian Data Analysis. Chapman & Hall/CRC, 2 edition.
-
(2004)
Bayesian Data Analysis
-
-
Gelman, A.1
Carlin, J.B.2
Stern, H.S.3
Rubin, D.B.4
-
11
-
-
0033074585
-
Posterior consistency of Dirichlet mixtures in density estimation
-
Ghosal, S., Ghosh, J. K., and Ramamoorthi, R. V. (1999). "Posterior consistency of Dirichlet mixtures in density estimation." The Annals of Statistics, 27: 143-158.
-
(1999)
The Annals of Statistics
, vol.27
, pp. 143-158
-
-
Ghosal, S.1
Ghosh, J.K.2
Ramamoorthi, R.V.3
-
12
-
-
33847339319
-
Posterior Consistency of Gaussian Process Prior for Nonparametric Binary Regression
-
Ghosal, S. and Roy, A. (2006). "Posterior Consistency of Gaussian Process Prior for Nonparametric Binary Regression." The Annals of Statistics, 34: 2413-2429.
-
(2006)
The Annals of Statistics
, vol.34
, pp. 2413-2429
-
-
Ghosal, S.1
Roy, A.2
-
16
-
-
0001742255
-
The Logistic Normal Distribution for Bayesian, Nonparametric, Predictive Densities
-
Lenk, P. J. (1988). "The Logistic Normal Distribution for Bayesian, Nonparametric, Predictive Densities." Journal of the American Statistical Association, 83: 509-516.
-
(1988)
Journal of the American Statistical Association
, vol.83
, pp. 509-516
-
-
Lenk, P.J.1
-
17
-
-
0001450917
-
Towards a Practicable Bayesian Nonparametric Density Estimator
-
Lenk, P. J. (1991). "Towards a Practicable Bayesian Nonparametric Density Estimator." Biometrika, 78: 531-543.
-
(1991)
Biometrika
, vol.78
, pp. 531-543
-
-
Lenk, P.J.1
-
18
-
-
0141872477
-
Bayesian Semiparametric Density Estimation and Model Verification Using a Logistic Gaussian Process
-
Lenk, P. J. (2003). "Bayesian Semiparametric Density Estimation and Model Verification Using a Logistic Gaussian Process." Journal of Computational and Graphical Statistics, 12: 548-565.
-
(2003)
Journal of Computational and Graphical Statistics
, vol.12
, pp. 548-565
-
-
Lenk, P.J.1
-
19
-
-
84945116550
-
Sliced Inverse Regression for Dimension Reduction (with discus-sions)
-
Li, K. C. (1991). "Sliced Inverse Regression for Dimension Reduction (with discus-sions)." Journal of the American Statistical Association, 86: 316-342.
-
(1991)
Journal of the American Statistical Association
, vol.86
, pp. 316-342
-
-
Li, K.C.1
-
21
-
-
24644475726
-
-
Ohio State University, Dept. of Statistics Technical Report
-
MacEachern, S. M. (2000). "Dependent Dirichlet Processes." Ohio State University, Dept. of Statistics Technical Report.
-
(2000)
Dependent Dirichlet Processes
-
-
MacEachern, S.M.1
-
24
-
-
35349023855
-
Towards a Faster Implementation of Density Estimation with Lo-gistic Gaussian Process Priors
-
Tokdar, S. T. (2007). "Towards a Faster Implementation of Density Estimation with Lo-gistic Gaussian Process Priors." Journal of Computational and Graphical Statistics, 16: 633-655.
-
(2007)
Journal of Computational and Graphical Statistics
, vol.16
, pp. 633-655
-
-
Tokdar, S.T.1
-
25
-
-
33748437204
-
Posterior consistency of logistic Gaussian process priors in density estimation
-
Tokdar, S. T. and Ghosh, J. K. (2007). "Posterior consistency of logistic Gaussian process priors in density estimation." Journal of Statistical Planning and Inference, 137: 34-42.
-
(2007)
Journal of Statistical Planning and Inference
, vol.137
, pp. 34-42
-
-
Tokdar, S.T.1
Ghosh, J.K.2
-
26
-
-
51049088387
-
Rates of contraction of posterior distributions based on Gaussian process priors
-
van der Vaart, A. W. and van Zanten, H. (2008). "Rates of contraction of posterior distributions based on Gaussian process priors." The Annals of Statistics, 36: 1435-1463.
-
(2008)
The Annals of Statistics
, vol.36
, pp. 1435-1463
-
-
van der Vaart, A.W.1
van Zanten, H.2
-
27
-
-
49549110291
-
A constructive approach to the estimation of dimension reduction directions
-
Xia, Y. (2007). "A constructive approach to the estimation of dimension reduction directions." The Annals of Statistics, 35: 2654-2690.
-
(2007)
The Annals of Statistics
, vol.35
, pp. 2654-2690
-
-
Xia, Y.1
-
28
-
-
44849124825
-
Determining the dimension of the central subspace and central mean subspace
-
Zeng, P. (2008). "Determining the dimension of the central subspace and central mean subspace." Biometrika, 95: 469-479.
-
(2008)
Biometrika
, vol.95
, pp. 469-479
-
-
Zeng, P.1
-
29
-
-
33846068932
-
Fourier Methods for Estimating the Central Subspace and the Central Mean Subspace in Regression
-
Zhu, Y. and Zeng, P. (2006). "Fourier Methods for Estimating the Central Subspace and the Central Mean Subspace in Regression." Journal of the American Statistical Association, 101: 1638-1651.
-
(2006)
Journal of the American Statistical Association
, vol.101
, pp. 1638-1651
-
-
Zhu, Y.1
Zeng, P.2
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