-
2
-
-
15244360939
-
-
Technical Report, Department of Statistics, University of Connecticut
-
Agarwal D.K., Gelfand A.E., Sirmans C.F., and Thibodeau T.G. 2001. Flexible Nonstationary Spatial House Price Models. Technical Report, Department of Statistics, University of Connecticut.
-
(2001)
Flexible Nonstationary Spatial House Price Models
-
-
Agarwal, D.K.1
Gelfand, A.E.2
Sirmans, C.F.3
Thibodeau, T.G.4
-
6
-
-
0043047984
-
On MCMC sampling in hierarchical longitudinal models
-
Chib S. and Carlin B. 1999. On MCMC sampling in hierarchical longitudinal models. Statistics and Computing 9: 17-26.
-
(1999)
Statistics and Computing
, vol.9
, pp. 17-26
-
-
Chib, S.1
Carlin, B.2
-
7
-
-
32344446687
-
Understanding the Metropolis-Hastings algorithm
-
Chib S. and Greenberg E. 1995. Understanding the Metropolis-Hastings algorithm. American Statistician 49: 327-335.
-
(1995)
American Statistician
, vol.49
, pp. 327-335
-
-
Chib, S.1
Greenberg, E.2
-
8
-
-
0000911137
-
Analysis of multivariate probit models
-
Chib S. and Greenberg E. 1998. Analysis of multivariate probit models. Biometrika 85: 347-361.
-
(1998)
Biometrika
, vol.85
, pp. 347-361
-
-
Chib, S.1
Greenberg, E.2
-
10
-
-
0035989805
-
Bayesian prediction of spatial count data using generalized linear mixed models
-
Christensen O.F. and Waagepetersen R.P. 2002. Bayesian prediction of spatial count data using generalized linear mixed models. Biometrics 58: 280-286.
-
(2002)
Biometrics
, vol.58
, pp. 280-286
-
-
Christensen, O.F.1
Waagepetersen, R.P.2
-
14
-
-
0032969075
-
Bayesian modeling and inference for geometrically anisotropic spatial data
-
Ecker M.D. and Gelfand A.E. 1998. Bayesian modeling and inference for geometrically anisotropic spatial data. Mathematical Geology 31: 67-83.
-
(1998)
Mathematical Geology
, vol.31
, pp. 67-83
-
-
Ecker, M.D.1
Gelfand, A.E.2
-
15
-
-
0007633083
-
Geostatistical estimates of scallop abundance
-
Lange N., Ryan L., Brillinger D., Conquest L., and Greenhouse J. (Eds.), Wiley, New York
-
Ecker M.D. and Heltshe J.F. 1994. Geostatistical estimates of scallop abundance. In: Lange N., Ryan L., Brillinger D., Conquest L., and Greenhouse J. (Eds.), Case Studies in Biometry, Wiley, New York, pp. 107-124.
-
(1994)
Case Studies in Biometry
, pp. 107-124
-
-
Ecker, M.D.1
Heltshe, J.F.2
-
17
-
-
84972492387
-
Inference from iterative simulation using multiple sequences
-
Gelman A. and Rubin D.B. 1992. Inference from iterative simulation using multiple sequences. Statistical Science 7: 457-472.
-
(1992)
Statistical Science
, vol.7
, pp. 457-472
-
-
Gelman, A.1
Rubin, D.B.2
-
19
-
-
0001196683
-
Maximum likelihood estimation of models for residual covariance in spatial regression
-
Mardia K.V. and Marshall R.J. 1984. Maximum likelihood estimation of models for residual covariance in spatial regression. Biometrika 71: 135-146.
-
(1984)
Biometrika
, vol.71
, pp. 135-146
-
-
Mardia, K.V.1
Marshall, R.J.2
-
20
-
-
1642370803
-
Slice sampling
-
Neal R. 2003. Slice sampling. Annals of Statistics 31: 705-767.
-
(2003)
Annals of Statistics
, vol.31
, pp. 705-767
-
-
Neal, R.1
-
21
-
-
0002628667
-
Regression and classification using Gaussian process priors
-
with discussion. Bernardo J.M. et al. (Eds.), Oxford University Press
-
Neal R. 1998. Regression and classification using Gaussian process priors (with discussion). In: Bernardo J.M. et al. (Eds.), Bayesian Statistics 6, Oxford University Press, pp. 475-501.
-
(1998)
Bayesian Statistics
, vol.6
, pp. 475-501
-
-
Neal, R.1
-
25
-
-
0033438006
-
Predicting random fields with increasingly dense observations
-
Stein M.L. 1999a. Predicting random fields with increasingly dense observations. Annals of Applied Probability 9: 242-273.
-
(1999)
Annals of Applied Probability
, vol.9
, pp. 242-273
-
-
Stein, M.L.1
-
27
-
-
84950758368
-
The calculation of posterior distributions by data augmentation
-
with discussion
-
Tanner M.A. and Wong W.H. 1987. The calculation of posterior distributions by data augmentation (with discussion). Journal of the American Statistical Association 82: 528-550.
-
(1987)
Journal of the American Statistical Association
, vol.82
, pp. 528-550
-
-
Tanner, M.A.1
Wong, W.H.2
|