-
1
-
-
21644455755
-
Hierarchical models for assessing variability among functions
-
Behseta, S., Kass, R. E. and Wallstrom, G. L. (2005), Hierarchical models for assessing variability among functions, Biometrika 92, 419-434.
-
(2005)
Biometrika
, vol.92
, pp. 419-434
-
-
Behseta, S.1
Kass, R.E.2
Wallstrom, G.L.3
-
2
-
-
0000257224
-
Empirical Bayes estimation of a binomial parameter via mixtures of Dirichlet processes
-
Berry, D. A. and Christensen, R. (1979). Empirical Bayes estimation of a binomial parameter via mixtures of Dirichlet processes. Ann. Statist. 7, 558-568.
-
(1979)
Ann. Statist
, vol.7
, pp. 558-568
-
-
Berry, D.A.1
Christensen, R.2
-
4
-
-
34548382745
-
Bayesian adaptive regression splines for hierarchical data
-
Bigelow, J. L. and Dunson, D. B. (2007). Bayesian adaptive regression splines for hierarchical data. Biometrics 63, 724-732.
-
(2007)
Biometrics
, vol.63
, pp. 724-732
-
-
Bigelow, J.L.1
Dunson, D.B.2
-
5
-
-
0002617436
-
Ferguson distributions via Pólya urn schemes.
-
Blackwell, D. and MacQueen, J. B. (1973). Ferguson distributions via Pólya urn schemes. Ann. Statist. 1, 353-355.
-
(1973)
Ann. Statist
, vol.1
, pp. 353-355
-
-
Blackwell, D.1
MacQueen, J.B.2
-
6
-
-
0032356568
-
Smoothing spline models for the analysis of nested and crossed samples of curves
-
Brumback, B. A. and Rice, J. A. (1998). Smoothing spline models for the analysis of nested and crossed samples of curves. Journal of the American Statistical Association 93, 961-976.
-
(1998)
Journal of the American Statistical Association
, vol.93
, pp. 961-976
-
-
Brumback, B.A.1
Rice, J.A.2
-
7
-
-
0000904732
-
A semiparametric Bayesian model for randomised block designs
-
Bush, C. A. and MacEachern, S. N. (1996). A semiparametric Bayesian model for randomised block designs. Biometrika 83, 275-285.
-
(1996)
Biometrika
, vol.83
, pp. 275-285
-
-
Bush, C.A.1
MacEachern, S.N.2
-
8
-
-
36348946698
-
Bayesian non-linear regression for large p, small n problems
-
Technical Report. University of Florida
-
Chakraborty, S., Ghosh, M., and Mallick, B. (2005). Bayesian non-linear regression for large p, small n problems. Technical Report. University of Florida.
-
(2005)
-
-
Chakraborty, S.1
Ghosh, M.2
Mallick, B.3
-
9
-
-
2142671856
-
An Anova model for dependent random measures
-
De Iorio, M., Müller, P., Rosner, G. L. and MacEachern, S. N. (2004). An Anova model for dependent random measures. J. Amer. Statist. Assoc. 99, 205-215.
-
(2004)
J. Amer. Statist. Assoc
, vol.99
, pp. 205-215
-
-
De Iorio, M.1
Müller, P.2
Rosner, G.L.3
MacEachern, S.N.4
-
10
-
-
21344479762
-
Estimating normal means with a Dirichlet process prior
-
Escobar, M. D. (1994). Estimating normal means with a Dirichlet process prior. J. Amer. Statist. Assoc. 89, 268-277.
-
(1994)
J. Amer. Statist. Assoc
, vol.89
, pp. 268-277
-
-
Escobar, M.D.1
-
11
-
-
84950937290
-
Bayesian density estimation and inference using mixtures
-
Escobar, M. D. and West, M. (1995). Bayesian density estimation and inference using mixtures. J. Amer. Statist. Assoc. 90, 577-588.
-
(1995)
J. Amer. Statist. Assoc
, vol.90
, pp. 577-588
-
-
Escobar, M.D.1
West, M.2
-
12
-
-
0001120413
-
A Bayesian analysis of some nonparametric problems
-
Ferguson, T. S. (1973). A Bayesian analysis of some nonparametric problems. Ann. Statist. 1, 209-230.
-
(1973)
Ann. Statist
, vol.1
, pp. 209-230
-
-
Ferguson, T.S.1
-
13
-
-
0000780135
-
Prior distributions on spaces of probability measures
-
Ferguson, T. S. (1974). Prior distributions on spaces of probability measures. Ann. Statist. 2, 615-629.
-
(1974)
Ann. Statist
, vol.2
, pp. 615-629
-
-
Ferguson, T.S.1
-
14
-
-
24644441776
-
Bayesian nonparametric spatial modeling with Dirichlet process mixing
-
Gelfand, A. E., Kottas, A. and MacEachern, S. N. (2005). Bayesian nonparametric spatial modeling with Dirichlet process mixing. J. Amer. Statist. Assoc. 100, 1021-1035.
-
(2005)
J. Amer. Statist. Assoc
, vol.100
, pp. 1021-1035
-
-
Gelfand, A.E.1
Kottas, A.2
MacEachern, S.N.3
-
16
-
-
0003684449
-
-
Springer, New York
-
Hastie, T., Tibshirani, R. and Friedman, J. (2001). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer, New York.
-
(2001)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
17
-
-
0036661094
-
Dirichlet prior sieves in finite normal mixtures
-
Ishwaran, H. and Zarepour, M. (2002). Dirichlet prior sieves in finite normal mixtures. Statist. Sinica 12, 941-963.
-
(2002)
Statist. Sinica
, vol.12
, pp. 941-963
-
-
Ishwaran, H.1
Zarepour, M.2
-
18
-
-
0000406385
-
A correspondence between Bayesian estimation on stochastic processes and smoothing by splines
-
Kimeldorf, G. S. and Wahba, G. (1971). A correspondence between Bayesian estimation on stochastic processes and smoothing by splines. Ann. Math. Statist. 41, 495-502.
-
(1971)
Ann. Math. Statist
, vol.41
, pp. 495-502
-
-
Kimeldorf, G.S.1
Wahba, G.2
-
19
-
-
68149134506
-
-
ISDS Discussion Paper, Duke University
-
Liang, F., Liao, M., Mukherjee, S. and West, M. (2006). Nonparametric Bayesian kernel models. ISDS Discussion Paper, Duke University.
-
(2006)
Nonparametric Bayesian kernel models
-
-
Liang, F.1
Liao, M.2
Mukherjee, S.3
West, M.4
-
20
-
-
0001876649
-
On a class of Bayesian nonparametric estimates: I. Density estimates
-
Lo, A. Y. (1984). On a class of Bayesian nonparametric estimates: I. Density estimates. Ann. Statist. 12, 351-357.
-
(1984)
Ann. Statist
, vol.12
, pp. 351-357
-
-
Lo, A.Y.1
-
22
-
-
24644475726
-
-
Unpublished manuscript, Department of Statistics, The Ohio State University
-
MacEachern, S. N. (2000). Dependent Dirichlet processes. Unpublished manuscript, Department of Statistics, The Ohio State University.
-
(2000)
Dependent Dirichlet processes
-
-
MacEachern, S.N.1
-
23
-
-
0032221058
-
Estimating mixture of Dirichlet process models
-
MacEachern, S. N. and Müller, P. (1998). Estimating mixture of Dirichlet process models. J. Comput. Graph. Statist. 7, 223-238.
-
(1998)
J. Comput. Graph. Statist
, vol.7
, pp. 223-238
-
-
MacEachern, S.N.1
Müller, P.2
-
25
-
-
19744371683
-
Functional modelling and classification of longitudinal data
-
Müller, H. G. (2005). Functional modelling and classification of longitudinal data. Scand. J. Statist. 32, 223-240.
-
(2005)
Scand. J. Statist
, vol.32
, pp. 223-240
-
-
Müller, H.G.1
-
26
-
-
68149114148
-
-
Pillai, N., Liang, F., Mukerjee, S., Wolpert, R. and Wu, Q. (2006). Characterizing the function space for Bayesian kernel models.
-
(2006)
Characterizing the function space for Bayesian kernel models
-
-
Pillai, N.1
Liang, F.2
Mukerjee, S.3
Wolpert, R.4
Wu, Q.5
-
27
-
-
0025056697
-
Regularization algorithms for learning that are equivalent to multilayer networks
-
Poggio, T. and Girosi, F. (1990). Regularization algorithms for learning that are equivalent to multilayer networks. Science 247, 978-982.
-
(1990)
Science
, vol.247
, pp. 978-982
-
-
Poggio, T.1
Girosi, F.2
-
28
-
-
33644782021
-
Functional clustering by Bayesian wavelet methods
-
Ray, S. and Mallick, B. (2006). Functional clustering by Bayesian wavelet methods. J. Roy. Statist. Soc. Ser. B 68, 305-332.
-
(2006)
J. Roy. Statist. Soc. Ser. B
, vol.68
, pp. 305-332
-
-
Ray, S.1
Mallick, B.2
-
30
-
-
0000720609
-
A constructive definition of the Dirichlet process prior
-
Sethuraman, J. (1994). A constructive definition of the Dirichlet process prior. Statist. Sinica 2, 639-650.
-
(1994)
Statist. Sinica
, vol.2
, pp. 639-650
-
-
Sethuraman, J.1
-
32
-
-
0000824232
-
Nonparametric regression using Bayesian variable selection
-
Smith, M. and Kohn, R. (1996). Nonparametric regression using Bayesian variable selection. J. Econometrics 75, 317-343.
-
(1996)
J. Econometrics
, vol.75
, pp. 317-343
-
-
Smith, M.1
Kohn, R.2
-
33
-
-
0036163572
-
Bayesian methods for support vector machines: Evidence and predictive class probabilities
-
Sollich, P. (2002). Bayesian methods for support vector machines: Evidence and predictive class probabilities. Machine Learning, 21-52.
-
(2002)
Machine Learning
, pp. 21-52
-
-
Sollich, P.1
-
34
-
-
68149091273
-
A Bayesian model for sparse functional data
-
Technical Report
-
Thompson, W. K. and Rosen, O. (2006). A Bayesian model for sparse functional data. Technical Report.
-
(2006)
-
-
Thompson, W.K.1
Rosen, O.2
-
35
-
-
33749249312
-
Hierarhcical Dirichlet processes
-
Teh, Y. W., Jordan, M. I., Beal, M. J., and Blei, D. M. (2006). Hierarhcical Dirichlet processes. J. Amer. Statist. Assoc. 101, 1566-1581.
-
(2006)
J. Amer. Statist. Assoc
, vol.101
, pp. 1566-1581
-
-
Teh, Y.W.1
Jordan, M.I.2
Beal, M.J.3
Blei, D.M.4
-
36
-
-
0001224048
-
Sparse Bayesian learning and the relevance vector machine
-
Tipping, M. E. (2001). Sparse Bayesian learning and the relevance vector machine. J. Mach. Learn. Res. 1, 211-244.
-
(2001)
J. Mach. Learn. Res
, vol.1
, pp. 211-244
-
-
Tipping, M.E.1
-
37
-
-
0009934350
-
-
Unpublished dissertation. University of Toronto
-
Tomlinson, G. (1998). Analysis of Densities. Unpublished dissertation. University of Toronto.
-
(1998)
Analysis of Densities
-
-
Tomlinson, G.1
-
38
-
-
0003241881
-
Spline Models for Observational Data
-
Society for Industrial and Applied Mathematics, Philadelphia
-
Wahba, G. (1990). Spline Models for Observational Data. CBMS-NSF Regional Conference Series in Applied Mathematics, Vol. 59, Society for Industrial and Applied Mathematics, Philadelphia.
-
(1990)
CBMS-NSF Regional Conference Series in Applied Mathematics
, vol.59
-
-
Wahba, G.1
-
39
-
-
0001873883
-
Support vector machines, reproducing kernel Hilbert spaces, and randomized GACV
-
Wahba, G. (1999). Support vector machines, reproducing kernel Hilbert spaces, and randomized GACV. Advances in Kernel Methods: Support Vector Learning, 69-88.
-
(1999)
Advances in Kernel Methods: Support Vector Learning
, pp. 69-88
-
-
Wahba, G.1
-
40
-
-
38349069828
-
-
ISDS Discussion Paper 2005-24, Duke University, Durham, NC
-
Xia, G. and Gelfand, A. E. (2005). Stationary process approximation for the analysis of large spatial datasets. ISDS Discussion Paper 2005-24, Duke University, Durham, NC.
-
(2005)
Stationary process approximation for the analysis of large spatial datasets
-
-
Xia, G.1
Gelfand, A.E.2
-
41
-
-
8644276476
-
The functional data analysis view of longitudinal data
-
Zhao, X., Marron, J. S. and Wells, M. T. (2004). The functional data analysis view of longitudinal data. Statist. Sinica 14, 789-808.
-
(2004)
Statist. Sinica
, vol.14
, pp. 789-808
-
-
Zhao, X.1
Marron, J.S.2
Wells, M.T.3
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