-
1
-
-
84916537550
-
Bayesian analysis of binary and polychotomous response data
-
Albert J.H., and Chib S. Bayesian analysis of binary and polychotomous response data. J. Amer. Statist. Assoc. 88 (1993) 669-679
-
(1993)
J. Amer. Statist. Assoc.
, vol.88
, pp. 669-679
-
-
Albert, J.H.1
Chib, S.2
-
3
-
-
33845631415
-
Bayesian models for spatially correlated disease and exposure data
-
Bernardo J., Berger J., Dawid A., and Smith A. (Eds), Oxford University Press, Oxford, UK
-
Best N., Arnold R., Thomas A., Waller L., and Conlon E. Bayesian models for spatially correlated disease and exposure data. In: Bernardo J., Berger J., Dawid A., and Smith A. (Eds). Bayesian Statistics vol. 6 (1999), Oxford University Press, Oxford, UK 131-156
-
(1999)
Bayesian Statistics
, vol.6
, pp. 131-156
-
-
Best, N.1
Arnold, R.2
Thomas, A.3
Waller, L.4
Conlon, E.5
-
4
-
-
0442293860
-
Spatial Poisson regression for health and exposure data measured at disparate resolutions
-
Best N., Ickstadt K., and Wolpert R.L. Spatial Poisson regression for health and exposure data measured at disparate resolutions. J. Amer. Statist. Assoc. 95 (2000) 1076-1088
-
(2000)
J. Amer. Statist. Assoc.
, vol.95
, pp. 1076-1088
-
-
Best, N.1
Ickstadt, K.2
Wolpert, R.L.3
-
5
-
-
0033475053
-
Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm
-
Booth J.G., and Hobert J.P. Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm. J. Roy. Statist. Soc. Ser. B 61 (1999) 265-285
-
(1999)
J. Roy. Statist. Soc. Ser. B
, vol.61
, pp. 265-285
-
-
Booth, J.G.1
Hobert, J.P.2
-
6
-
-
0007583320
-
Three-dimensional, frequency-domain simulations of geological variables
-
Verly G., et al. (Ed), Reidel, Dordrecht
-
Borgman L., Taheri M., and Hagan R. Three-dimensional, frequency-domain simulations of geological variables. In: Verly G., et al. (Ed). Geostatistics for Natural Resources Characterization, Part 1. D (1984), Reidel, Dordrecht 517-541
-
(1984)
Geostatistics for Natural Resources Characterization, Part 1. D
, pp. 517-541
-
-
Borgman, L.1
Taheri, M.2
Hagan, R.3
-
7
-
-
33947664368
-
-
Breslow, N., 2003. Whither PQL? Technical Report 192, Department of Biostatistics, University of Washington.
-
-
-
-
8
-
-
0011241944
-
Approximate inference in generalized linear mixed models
-
Breslow N.E., and Clayton D.G. Approximate inference in generalized linear mixed models. J. Amer. Statist. Assoc. 88 (1993) 9-25
-
(1993)
J. Amer. Statist. Assoc.
, vol.88
, pp. 9-25
-
-
Breslow, N.E.1
Clayton, D.G.2
-
9
-
-
0032356568
-
Smoothing spline models for the analysis of nested and crossed samples of curves (C/R: p976-994)
-
Brumback B.A., and Rice J.A. Smoothing spline models for the analysis of nested and crossed samples of curves (C/R: p976-994). J. Amer. Statist. Assoc. 93 (1998) 961-976
-
(1998)
J. Amer. Statist. Assoc.
, vol.93
, pp. 961-976
-
-
Brumback, B.A.1
Rice, J.A.2
-
11
-
-
0003804002
-
-
Chapman & Hall CRC Press, London, Boca Raton, FL
-
Carroll R., Ruppert D., and Stefanski L. Measurement Error in Nonlinear Models (1995), Chapman & Hall CRC Press, London, Boca Raton, FL
-
(1995)
Measurement Error in Nonlinear Models
-
-
Carroll, R.1
Ruppert, D.2
Stefanski, L.3
-
12
-
-
4344657015
-
Monte Carlo maximum likelihood in model-based geostatistics
-
Christensen O. Monte Carlo maximum likelihood in model-based geostatistics. J. Comput. Graph. Statist. 13 (2004) 702-718
-
(2004)
J. Comput. Graph. Statist.
, vol.13
, pp. 702-718
-
-
Christensen, O.1
-
13
-
-
33947661822
-
-
Christensen, O., Møller, J., Waagepetersen, R., 2000. Analysis of spatial data using generalized linear mixed models and Langevin-type Markov chain Monte Carlo. Technical Report R-002009, Department of Mathematics, Aalborg University. 〈URL:www.math.auc.dk/∼rw/publications.html〉.
-
-
-
-
14
-
-
33645558077
-
Robust Markov chain Monte Carlo methods for spatial generalized linear mixed models
-
Christensen O., Roberts G., and Sköld M. Robust Markov chain Monte Carlo methods for spatial generalized linear mixed models. J. Comput. Graph. Statist. 15 (2006) 1-17
-
(2006)
J. Comput. Graph. Statist.
, vol.15
, pp. 1-17
-
-
Christensen, O.1
Roberts, G.2
Sköld, M.3
-
15
-
-
0035989805
-
Bayesian prediction of spatial count data using generalized linear mixed models
-
Christensen O.F., and Waagepetersen R. Bayesian prediction of spatial count data using generalized linear mixed models. Biometrics 58 (2002) 280-286
-
(2002)
Biometrics
, vol.58
, pp. 280-286
-
-
Christensen, O.F.1
Waagepetersen, R.2
-
16
-
-
0030539336
-
Markov chain Monte Carlo convergence diagnostics: a comparative review
-
Cowles M.K., and Carlin B.P. Markov chain Monte Carlo convergence diagnostics: a comparative review. J. Amer. Statist. Assoc. 91 (1996) 883-904
-
(1996)
J. Amer. Statist. Assoc.
, vol.91
, pp. 883-904
-
-
Cowles, M.K.1
Carlin, B.P.2
-
18
-
-
0004224632
-
-
Wiley, New York
-
Denison D.G., Holmes C.C., Mallick B.K., and Smith A.F.M. Bayesian Methods for Nonlinear Classification and Regression (2002), Wiley, New York
-
(2002)
Bayesian Methods for Nonlinear Classification and Regression
-
-
Denison, D.G.1
Holmes, C.C.2
Mallick, B.K.3
Smith, A.F.M.4
-
20
-
-
0000667309
-
A point process modelling approach to raised incidence of a rare phenomenon in the vicinity of a prespecified point
-
Diggle P.J. A point process modelling approach to raised incidence of a rare phenomenon in the vicinity of a prespecified point. J. Roy. Statist. Soc. Ser. A 153 (1990) 349-362
-
(1990)
J. Roy. Statist. Soc. Ser. A
, vol.153
, pp. 349-362
-
-
Diggle, P.J.1
-
22
-
-
33947684748
-
-
Draper, D., Krnjacic, M., 2006. Bayesian model specification. Technical Report, Department of Applied Mathematics and Statistics, University of California Santa Cruz.
-
-
-
-
24
-
-
33947699760
-
-
Elliott, P., Wakefield, J., Best, N., Briggs, D., 2000. Spatial epidemiology: methods and applications. In: Elliott, P., Wakefield, J., Best, N., Briggs, D. (Eds.), Spatial Epidemiology: Methods and Applications. Oxford University Press, Oxford, pp. 3-14.
-
-
-
-
25
-
-
0035649015
-
Bayesian inference for generalized additive mixed models based on Markov random field priors
-
Fahrmeir L., and Lang S. Bayesian inference for generalized additive mixed models based on Markov random field priors. J. Roy. Statist. Soc. C 50 (2001) 201-220
-
(2001)
J. Roy. Statist. Soc. C
, vol.50
, pp. 201-220
-
-
Fahrmeir, L.1
Lang, S.2
-
26
-
-
0042042167
-
Sampling from the posterior distribution in generalized linear mixed models
-
Gamerman D. Sampling from the posterior distribution in generalized linear mixed models. Statist. Comput. 7 (1997) 57-68
-
(1997)
Statist. Comput.
, vol.7
, pp. 57-68
-
-
Gamerman, D.1
-
27
-
-
84867086419
-
Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
-
Gelman A. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper). Bayesian Anal. 1 3 (2006) 515-534
-
(2006)
Bayesian Anal.
, vol.1
, Issue.3
, pp. 515-534
-
-
Gelman, A.1
-
28
-
-
0031467709
-
Random effects probit and logistic regression models for three-level data
-
Gibbons R.D., and Hedeker D. Random effects probit and logistic regression models for three-level data. Biometrics 53 (1997) 1527-1537
-
(1997)
Biometrics
, vol.53
, pp. 1527-1537
-
-
Gibbons, R.D.1
Hedeker, D.2
-
29
-
-
0004123838
-
Least absolute shrinkage is equivalent to quadratic penalization
-
Springer, Berlin
-
Grandvalet Y. Least absolute shrinkage is equivalent to quadratic penalization. ICANN'98 Perspectives in Neural Computing (1998), Springer, Berlin 201-206
-
(1998)
ICANN'98 Perspectives in Neural Computing
, pp. 201-206
-
-
Grandvalet, Y.1
-
30
-
-
77956889087
-
Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
-
Green P. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika 82 (1995) 711-732
-
(1995)
Biometrika
, vol.82
, pp. 711-732
-
-
Green, P.1
-
31
-
-
0026632529
-
Divergent biases in ecologic and individual-level studies
-
Greenland S. Divergent biases in ecologic and individual-level studies. Statist. Med. 11 (1992) 1209-1223
-
(1992)
Statist. Med.
, vol.11
, pp. 1209-1223
-
-
Greenland, S.1
-
33
-
-
0028650772
-
A random-effects ordinal regression model for multilevel analysis
-
Hedeker D., and Gibbons R.D. A random-effects ordinal regression model for multilevel analysis. Biometrics 50 (1994) 933-944
-
(1994)
Biometrics
, vol.50
, pp. 933-944
-
-
Hedeker, D.1
Gibbons, R.D.2
-
34
-
-
0032422974
-
A process-convolution approach to modeling temperatures in the North Atlantic Ocean
-
Higdon D. A process-convolution approach to modeling temperatures in the North Atlantic Ocean. J. Environmental and Ecological Statist. 5 (1998) 173-190
-
(1998)
J. Environmental and Ecological Statist.
, vol.5
, pp. 173-190
-
-
Higdon, D.1
-
35
-
-
33947635456
-
-
Hobert, J., Wand, M., 2000. Automatic generalized nonparametric regression via maximum likelihood. Technical Report, Department of Biostatistics, Harvard School of Public Health. 〈URL:citeseer.ist.psu.edu/hobert00automatic.html〉.
-
-
-
-
36
-
-
0041743086
-
Generalized nonlinear modeling with multivariate free-knot regression splines
-
Holmes C., and Mallick B. Generalized nonlinear modeling with multivariate free-knot regression splines. J. Amer. Statist. Assoc. 98 (2003) 352-368
-
(2003)
J. Amer. Statist. Assoc.
, vol.98
, pp. 352-368
-
-
Holmes, C.1
Mallick, B.2
-
37
-
-
0028428443
-
Regression modeling in back-propagation and projection pursuit learning
-
Hwang J.-N., Lay S.-R., Maechler M., Martin D., and Schimert J. Regression modeling in back-propagation and projection pursuit learning. IEEE Trans. on Neural Networks 5 (1994) 342-353
-
(1994)
IEEE Trans. on Neural Networks
, vol.5
, pp. 342-353
-
-
Hwang, J.-N.1
Lay, S.-R.2
Maechler, M.3
Martin, D.4
Schimert, J.5
-
38
-
-
0036921398
-
Estimation of spatial variation in risk using matched case-control data
-
Jarner M.F., Diggle P., and Chetwynd A.G. Estimation of spatial variation in risk using matched case-control data. Biometrical J. 44 8 (2002) 936-945
-
(2002)
Biometrical J.
, vol.44
, Issue.8
, pp. 936-945
-
-
Jarner, M.F.1
Diggle, P.2
Chetwynd, A.G.3
-
41
-
-
0039986416
-
Spatial variation in risk of disease: a nonparametric binary regression approach
-
Kelsall J.E., and Diggle P.J. Spatial variation in risk of disease: a nonparametric binary regression approach. J. Roy. Statist. Soc. Ser. C 47 (1998) 559-573
-
(1998)
J. Roy. Statist. Soc. Ser. C
, vol.47
, pp. 559-573
-
-
Kelsall, J.E.1
Diggle, P.J.2
-
42
-
-
0036900109
-
On block updating in Markov random field models for disease mapping
-
Knorr-Held L., and Rue H. On block updating in Markov random field models for disease mapping. Scand. J. Statist. 29 4 (2002) 597-614
-
(2002)
Scand. J. Statist.
, vol.29
, Issue.4
, pp. 597-614
-
-
Knorr-Held, L.1
Rue, H.2
-
43
-
-
0027868652
-
On the analysis of mortality events associated with a prespecified fixed point
-
Lawson A.B. On the analysis of mortality events associated with a prespecified fixed point. J. Roy. Statist. Soc. Ser. A 156 (1993) 363-377
-
(1993)
J. Roy. Statist. Soc. Ser. A
, vol.156
, pp. 363-377
-
-
Lawson, A.B.1
-
45
-
-
0033475174
-
Bayesian inference for semiparametric regression using a Fourier representation
-
Lenk P.J. Bayesian inference for semiparametric regression using a Fourier representation. J. Roy. Statist. Soc. Ser. B 61 (1999) 863-879
-
(1999)
J. Roy. Statist. Soc. Ser. B
, vol.61
, pp. 863-879
-
-
Lenk, P.J.1
-
46
-
-
0035989798
-
Modeling spatial survival data using semi-parametric frailty models
-
Li Y., and Ryan L. Modeling spatial survival data using semi-parametric frailty models. Biometrics 58 (2002) 287-297
-
(2002)
Biometrics
, vol.58
, pp. 287-297
-
-
Li, Y.1
Ryan, L.2
-
47
-
-
21344497135
-
Maximum likelihood variance components estimation for binary data
-
McCulloch C.E. Maximum likelihood variance components estimation for binary data. J. Amer. Statist. Assoc. 89 (1994) 330-335
-
(1994)
J. Amer. Statist. Assoc.
, vol.89
, pp. 330-335
-
-
McCulloch, C.E.1
-
48
-
-
0031479575
-
Maximum likelihood algorithms for generalized linear mixed models
-
McCulloch C.E. Maximum likelihood algorithms for generalized linear mixed models. J. Amer. Statist. Assoc. 92 (1997) 162-170
-
(1997)
J. Amer. Statist. Assoc.
, vol.92
, pp. 162-170
-
-
McCulloch, C.E.1
-
49
-
-
0007224920
-
Assessment of disease risk in relation to a pre-specified source
-
Elliott P., Wakefield J., Best N., and Briggs D. (Eds), Oxford University Press, Oxford
-
Morris S., and Wakefield J. Assessment of disease risk in relation to a pre-specified source. In: Elliott P., Wakefield J., Best N., and Briggs D. (Eds). Spatial Epidemiology: Methods and Applications (2000), Oxford University Press, Oxford 153-184
-
(2000)
Spatial Epidemiology: Methods and Applications
, pp. 153-184
-
-
Morris, S.1
Wakefield, J.2
-
50
-
-
33947691130
-
-
Neal, R., 1993. Probabilistic inference using Markov chain Monte Carlo methods. Technical Report CRG-TR-93-1, Department of Computer Science, University of Toronto. 〈URL:www.cs.toronto.edu/~radford/papers-online.html〉.
-
-
-
-
52
-
-
4544224992
-
Smoothing with mixed model software
-
Ngo L., and Wand M. Smoothing with mixed model software. J. Statist. Software 9 (2004)
-
(2004)
J. Statist. Software
, vol.9
-
-
Ngo, L.1
Wand, M.2
-
53
-
-
0012286427
-
Spatial-process estimates as smoothers
-
Schimek M.G. (Ed), Wiley, New York
-
Nychka D.W. Spatial-process estimates as smoothers. In: Schimek M.G. (Ed). Smoothing and Regression: Approaches, Computation, and Application (2000), Wiley, New York 393-424
-
(2000)
Smoothing and Regression: Approaches, Computation, and Application
, pp. 393-424
-
-
Nychka, D.W.1
-
54
-
-
0031497541
-
Spatial regression models, response surfaces, and process optimization
-
O'Connell M., and Wolfinger R. Spatial regression models, response surfaces, and process optimization. J. Comput. Graph. Statist. 6 (1997) 224-241
-
(1997)
J. Comput. Graph. Statist.
, vol.6
, pp. 224-241
-
-
O'Connell, M.1
Wolfinger, R.2
-
55
-
-
33947682630
-
-
Paciorek, C., 2003. Nonstationary Gaussian processes for regression and spatial modelling. Ph.D. Thesis, Carnegie Mellon University, Pittsburgh, PA.
-
-
-
-
56
-
-
33947626483
-
-
Paciorek, C., 2006. Bayesian smoothing of irregularly-spaced data using Fourier basis functions. Technical Report 49, Harvard University Biostatistics.
-
-
-
-
57
-
-
0027933413
-
Excess cancer mortality among children and adolescents in residential districts polluted by petrochemical manufacturing plants in Taiwan
-
Pan B., Hong Y., Chang G., Wang M., Cinkotai F., and Ko Y. Excess cancer mortality among children and adolescents in residential districts polluted by petrochemical manufacturing plants in Taiwan. J. Toxicol. Environ. Health 43 (1994) 117-129
-
(1994)
J. Toxicol. Environ. Health
, vol.43
, pp. 117-129
-
-
Pan, B.1
Hong, Y.2
Chang, G.3
Wang, M.4
Cinkotai, F.5
Ko, Y.6
-
58
-
-
0018671320
-
Logistic disease incidence models and case-control studies
-
Prentice R.L., and Pyke R. Logistic disease incidence models and case-control studies. Biometrika 66 (1979) 403-412
-
(1979)
Biometrika
, vol.66
, pp. 403-412
-
-
Prentice, R.L.1
Pyke, R.2
-
59
-
-
84896062664
-
Infinite mixtures of Gaussian process experts
-
Dietterich T.G., Becker S., and Ghahramani Z. (Eds), MIT Press, Cambridge, MA
-
Rasmussen C.E., and Ghahramani Z. Infinite mixtures of Gaussian process experts. In: Dietterich T.G., Becker S., and Ghahramani Z. (Eds). Advances in Neural Information Processing Systems vol. 14 (2002), MIT Press, Cambridge, MA
-
(2002)
Advances in Neural Information Processing Systems
, vol.14
-
-
Rasmussen, C.E.1
Ghahramani, Z.2
-
60
-
-
0000725750
-
Statistical methods for geographic correlation studies
-
Elliott P., Cuzick J., English D., and Stern R. (Eds), Oxford University Press, Oxford
-
Richardson S. Statistical methods for geographic correlation studies. In: Elliott P., Cuzick J., English D., and Stern R. (Eds). Geographical and Environmental Epidemiology: Methods for Small-area Studies (1992), Oxford University Press, Oxford 181-204
-
(1992)
Geographical and Environmental Epidemiology: Methods for Small-area Studies
, pp. 181-204
-
-
Richardson, S.1
-
61
-
-
20344397922
-
Efficient statistical mapping of avian count data
-
Royle J.A., and Wikle C.K. Efficient statistical mapping of avian count data. Environ. Ecol. Statist. 12 2 (2005) 225-243
-
(2005)
Environ. Ecol. Statist.
, vol.12
, Issue.2
, pp. 225-243
-
-
Royle, J.A.1
Wikle, C.K.2
-
63
-
-
33947691520
-
-
Rue, H., Martino, S., 2006. Approximate Bayesian inference for hierarchical Gaussian Markov random fields. Technical Report, Department of Mathematical Sciences, Norwegian University of Science and Technology. 〈 URL:http://www.math.ntnu.no/∼hrue/reports/index.imf〉.
-
-
-
-
64
-
-
0036522614
-
Fitting Gaussian Markov random fields to Gaussian fields
-
Rue H., and Tjelmeland H. Fitting Gaussian Markov random fields to Gaussian fields. Scand. J. Statist. 29 1 (2002) 31-49
-
(2002)
Scand. J. Statist.
, vol.29
, Issue.1
, pp. 31-49
-
-
Rue, H.1
Tjelmeland, H.2
-
66
-
-
0012891890
-
-
Cambridge University Press, Cambridge, UK
-
Ruppert D., Wand M., and Carroll R. Semiparametric Regression (2003), Cambridge University Press, Cambridge, UK
-
(2003)
Semiparametric Regression
-
-
Ruppert, D.1
Wand, M.2
Carroll, R.3
-
68
-
-
2442455496
-
Modelling spatial intensity for replicated inhomogeneous point patterns in brain imaging
-
Wager C.G., Coull B.A., and Lange N. Modelling spatial intensity for replicated inhomogeneous point patterns in brain imaging. J. Roy. Statist. Soc. Ser. B 66 (2004) 429-446
-
(2004)
J. Roy. Statist. Soc. Ser. B
, vol.66
, pp. 429-446
-
-
Wager, C.G.1
Coull, B.A.2
Lange, N.3
-
69
-
-
0041865172
-
Smoothing spline ANOVA for exponential families, with application to the Wisconsin epidemiological study of diabetic retinopathy
-
Wahba G., Wang Y., Gu C., Klein R., and Klein B. Smoothing spline ANOVA for exponential families, with application to the Wisconsin epidemiological study of diabetic retinopathy. Ann. Statist. 23 (1995) 1865-1895
-
(1995)
Ann. Statist.
, vol.23
, pp. 1865-1895
-
-
Wahba, G.1
Wang, Y.2
Gu, C.3
Klein, R.4
Klein, B.5
-
71
-
-
84977786486
-
Spatial modeling of count data: a case study in modelling breeding bird survey data on large spatial domains
-
Lawson A., and Denison D. (Eds), Chapman & Hall, London
-
Wikle C. Spatial modeling of count data: a case study in modelling breeding bird survey data on large spatial domains. In: Lawson A., and Denison D. (Eds). Spatial Cluster Modelling (2002), Chapman & Hall, London 199-209
-
(2002)
Spatial Cluster Modelling
, pp. 199-209
-
-
Wikle, C.1
-
72
-
-
84949346776
-
Generalized linear mixed models: a pseudo-likelihood approach
-
Wolfinger R., and O'Connell M. Generalized linear mixed models: a pseudo-likelihood approach. J. Statist. Comput. Simulation 48 (1993) 233-243
-
(1993)
J. Statist. Comput. Simulation
, vol.48
, pp. 233-243
-
-
Wolfinger, R.1
O'Connell, M.2
-
74
-
-
13844262338
-
Bayesian mixture of splines for spatially adaptive nonparametric regression
-
Wood S., Jiang W., and Tanner M. Bayesian mixture of splines for spatially adaptive nonparametric regression. Biometrika 89 (2002) 513-528
-
(2002)
Biometrika
, vol.89
, pp. 513-528
-
-
Wood, S.1
Jiang, W.2
Tanner, M.3
-
75
-
-
0034364945
-
Modelling and smoothing parameter estimation with multiple quadratic penalties
-
Wood S.N. Modelling and smoothing parameter estimation with multiple quadratic penalties. J. Roy. Statist. Soc. Ser. B 62 2 (2000) 413-428
-
(2000)
J. Roy. Statist. Soc. Ser. B
, vol.62
, Issue.2
, pp. 413-428
-
-
Wood, S.N.1
-
76
-
-
0141576514
-
Thin plate regression splines
-
Wood S.N. Thin plate regression splines. J. Roy. Statist. Soc. Ser. B 65 1 (2003) 95-114
-
(2003)
J. Roy. Statist. Soc. Ser. B
, vol.65
, Issue.1
, pp. 95-114
-
-
Wood, S.N.1
-
77
-
-
4944226585
-
Stable and efficient multiple smoothing parameter estimation for generalized additive models
-
Wood S.N. Stable and efficient multiple smoothing parameter estimation for generalized additive models. J. Amer. Statist. Assoc. 99 (2004) 673-686
-
(2004)
J. Amer. Statist. Assoc.
, vol.99
, pp. 673-686
-
-
Wood, S.N.1
-
78
-
-
2142734871
-
Inconsistent estimation and asymptotically equal interpolation in model-based geostatistics
-
Zhang H. Inconsistent estimation and asymptotically equal interpolation in model-based geostatistics. J. Amer. Statist. Assoc. 99 (2004) 250-261
-
(2004)
J. Amer. Statist. Assoc.
, vol.99
, pp. 250-261
-
-
Zhang, H.1
-
79
-
-
33947700253
-
-
Zhao, Y., 2003. General design Bayesian generalized linear mixed models with applications to spatial statistics. Ph.D. Thesis, Havard University Department of Biostatistics, Boston, MA.
-
-
-
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