-
1
-
-
0002823936
-
Sampling designs and prediction methods for Gaussian spatial processes
-
S. Ghosh Markel Dekker, Inc. New York, NY
-
Aldworth, J., Cressie, N., Sampling designs and prediction methods for Gaussian spatial processes. Ghosh, S., (eds.) Multivariate Analysis, Designs of Experiments, and Survey Sampling, 1999, Markel Dekker, Inc., New York, NY, 1–54.
-
(1999)
Multivariate Analysis, Designs of Experiments, and Survey Sampling
, pp. 1-54
-
-
Aldworth, J.1
Cressie, N.2
-
2
-
-
47649103974
-
Gaussian predictive process models for large spatial data sets
-
Banerjee, S., Gelfand, A.E., Finley, A.O., Sang, H., Gaussian predictive process models for large spatial data sets. Journal of the Royal Statistical Society, Series B 70 (2008), 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
-
-
28344449679
-
Bayesian image restoration, with two applications in spatial statistics
-
Besag, J., York, J., Mollié, A., Bayesian image restoration, with two applications in spatial statistics. Annals of the Institute of Statistical Mathematics 43 (1991), 1–20.
-
(1991)
Annals of the Institute of Statistical Mathematics
, vol.43
, pp. 1-20
-
-
Besag, J.1
York, J.2
Mollié, A.3
-
4
-
-
84870712724
-
Selection of rank and basis functions in the Spatial Random Effects model
-
American Statistical Association Alexandria, VA
-
Bradley, J.R., Cressie, N., Shi, T., Selection of rank and basis functions in the Spatial Random Effects model. Proceedings of the 2011 Joint Statistical Meetings, 2011, American Statistical Association, Alexandria, VA, 3393–3406.
-
(2011)
Proceedings of the 2011 Joint Statistical Meetings
, pp. 3393-3406
-
-
Bradley, J.R.1
Cressie, N.2
Shi, T.3
-
6
-
-
0003548569
-
Statistics for Spatial Data
-
Rev. ed. Wiley New York, NY
-
Cressie, N., Statistics for Spatial Data. Rev. ed., 1993, Wiley, New York, NY.
-
(1993)
-
-
Cressie, N.1
-
7
-
-
74849131594
-
Spatial prediction for massive data sets
-
Australian Academy of Science Canberra, Australia
-
Cressie, N., Johannesson, G., Spatial prediction for massive data sets. Australian Academy of Science Elizabeth and Frederick White Conference, 2006, Australian Academy of Science, Canberra, Australia, 1–11.
-
(2006)
Australian Academy of Science Elizabeth and Frederick White Conference
, pp. 1-11
-
-
Cressie, N.1
Johannesson, G.2
-
8
-
-
37849041594
-
Fixed rank kriging for very large spatial data sets
-
Cressie, N., Johannesson, G., Fixed rank kriging for very large spatial data sets. Journal of the Royal Statistical Society, Series B 70 (2008), 209–226.
-
(2008)
Journal of the Royal Statistical Society, Series B
, vol.70
, pp. 209-226
-
-
Cressie, N.1
Johannesson, G.2
-
9
-
-
77955117966
-
Fixed rank filtering for spatio-temporal data
-
Cressie, N., Shi, T., Kang, E.L., Fixed rank filtering for spatio-temporal data. Journal of Computational and Graphical Statistics 19 (2010), 724–745.
-
(2010)
Journal of Computational and Graphical Statistics
, vol.19
, pp. 724-745
-
-
Cressie, N.1
Shi, T.2
Kang, E.L.3
-
10
-
-
79953127706
-
Statistics for Spatio-Temporal Data
-
Wiley Hoboken, NJ
-
Cressie, N., Wikle, C.K., Statistics for Spatio-Temporal Data. 2011, Wiley, Hoboken, NJ.
-
(2011)
-
-
Cressie, N.1
Wikle, C.K.2
-
11
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
Dempster, A.P., Laird, N., Rubin, D., Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B 39 (1977), 1–38.
-
(1977)
Journal of the Royal Statistical Society, Series B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.2
Rubin, D.3
-
12
-
-
0040843494
-
Model-based geostatistics
-
Diggle, P.J., Tawn, J.A., Moyeed, R.A., Model-based geostatistics. Journal of the Royal Statistical Society, Series C 47 (1998), 299–350.
-
(1998)
Journal of the Royal Statistical Society, Series C
, vol.47
, pp. 299-350
-
-
Diggle, P.J.1
Tawn, J.A.2
Moyeed, R.A.3
-
13
-
-
0002332830
-
Some devices for the solution of large sets of simultaneous linear equations (with an appendix on the reciprocation of partitioned matrices)
-
Duncan, W.J., Some devices for the solution of large sets of simultaneous linear equations (with an appendix on the reciprocation of partitioned matrices). The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, Seventh Series, Vol. 35, 1944, 660–670.
-
(1944)
The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, Seventh Series, Vol. 35
, pp. 660-670
-
-
Duncan, W.J.1
-
14
-
-
84972492387
-
Inference from iterative simulation using multiple sequences
-
Gelman, A., Rubin, D.B., Inference from iterative simulation using multiple sequences. Statistical Science 7 (1992), 457–472.
-
(1992)
Statistical Science
, vol.7
, pp. 457-472
-
-
Gelman, A.1
Rubin, D.B.2
-
16
-
-
0001890697
-
On deriving the inverse of a sum of matrices
-
Henderson, H.V., Searle, S.R., On deriving the inverse of a sum of matrices. SIAM Review 23 (1981), 53–60.
-
(1981)
SIAM Review
, vol.23
, pp. 53-60
-
-
Henderson, H.V.1
Searle, S.R.2
-
17
-
-
79960981893
-
Adding spatially-correlated errors can mess up the fixed effect you love
-
Hodges, J.S., Reich, B.J., Adding spatially-correlated errors can mess up the fixed effect you love. The American Statistician 64 (2010), 325–334.
-
(2010)
The American Statistician
, vol.64
, pp. 325-334
-
-
Hodges, J.S.1
Reich, B.J.2
-
18
-
-
84871364959
-
Dimension reduction and alleviation of confounding for spatial generalized linear mixed models
-
Hughes, J., Haran, M., Dimension reduction and alleviation of confounding for spatial generalized linear mixed models. Journal of the Royal Statistical Society, Series B 75 (2013), 139–159.
-
(2013)
Journal of the Royal Statistical Society, Series B
, vol.75
, pp. 139-159
-
-
Hughes, J.1
Haran, M.2
-
20
-
-
77955119363
-
Using temporal variability to improve spatial mapping with application to satellite data
-
Kang, E.L., Cressie, N., Shi, T., Using temporal variability to improve spatial mapping with application to satellite data. Canadian Journal of Statistics 38 (2010), 271–289.
-
(2010)
Canadian Journal of Statistics
, vol.38
, pp. 271-289
-
-
Kang, E.L.1
Cressie, N.2
Shi, T.3
-
21
-
-
62849124345
-
Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models
-
Kang, E.L., Liu, D., Cressie, N., Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models. Computational Statistics & Data Analysis 53 (2009), 3016–3032.
-
(2009)
Computational Statistics & Data Analysis
, vol.53
, pp. 3016-3032
-
-
Kang, E.L.1
Liu, D.2
Cressie, N.3
-
22
-
-
80052029170
-
Approximate Bayesian inference in conditionally independent hierarchical models (parametric empirical Bayes models)
-
Kass, R.E., Steffey, D., Approximate Bayesian inference in conditionally independent hierarchical models (parametric empirical Bayes models). Journal of the American Statistical Association 84 (1989), 717–726.
-
(1989)
Journal of the American Statistical Association
, vol.84
, pp. 717-726
-
-
Kass, R.E.1
Steffey, D.2
-
23
-
-
79958190973
-
Maximum likelihood estimation of covariance parameters in the spatial-random-effects model
-
American Statistical Association Alexandria, VA
-
Katzfuss, M., Cressie, N., Maximum likelihood estimation of covariance parameters in the spatial-random-effects model. Proceedings of the 2009 Joint Statistical Meetings, 2009, American Statistical Association, Alexandria, VA, 3378–3390.
-
(2009)
Proceedings of the 2009 Joint Statistical Meetings
, pp. 3378-3390
-
-
Katzfuss, M.1
Cressie, N.2
-
24
-
-
79958198727
-
Spatio-temporal smoothing and EM estimation for massive remote-sensing data sets
-
Katzfuss, M., Cressie, N., Spatio-temporal smoothing and EM estimation for massive remote-sensing data sets. Journal of Time Series Analysis 32 (2011), 430–446.
-
(2011)
Journal of Time Series Analysis
, vol.32
, pp. 430-446
-
-
Katzfuss, M.1
Cressie, N.2
-
25
-
-
79961050814
-
An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach
-
Lindgren, F., Rue, H., Lindström, J., An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach. Journal of the Royal Statistical Society, Series B 73 (2011), 423–498.
-
(2011)
Journal of the Royal Statistical Society, Series B
, vol.73
, pp. 423-498
-
-
Lindgren, F.1
Rue, H.2
Lindström, J.3
-
26
-
-
0003232065
-
Bayes estimates for the linear model
-
Lindley, D.V., Smith, A.F.M., Bayes estimates for the linear model. Journal of the Royal Statistical Society, Series B 34 (1972), 1–41.
-
(1972)
Journal of the Royal Statistical Society, Series B
, vol.34
, pp. 1-41
-
-
Lindley, D.V.1
Smith, A.F.M.2
-
27
-
-
0001915899
-
Composite likelihood methods
-
Lindsay, B.G., Composite likelihood methods. Contemporary Mathematics 80 (1988), 221–239.
-
(1988)
Contemporary Mathematics
, vol.80
, pp. 221-239
-
-
Lindsay, B.G.1
-
28
-
-
78649330399
-
Generalized spatial dynamic factor models
-
Lopes, H.F., Gamerman, D., Salazar, E., Generalized spatial dynamic factor models. Computational Statistics and Data Analysis 55 (2011), 1319–1330.
-
(2011)
Computational Statistics and Data Analysis
, vol.55
, pp. 1319-1330
-
-
Lopes, H.F.1
Gamerman, D.2
Salazar, E.3
-
29
-
-
70349947771
-
Spatial dynamic factor analysis
-
Lopes, H.F., Salazar, E., Gamerman, D., Spatial dynamic factor analysis. Bayesian Analysis 3 (2008), 759–792.
-
(2008)
Bayesian Analysis
, vol.3
, pp. 759-792
-
-
Lopes, H.F.1
Salazar, E.2
Gamerman, D.3
-
30
-
-
0003663926
-
Generalized Linear Models
-
second ed. Chapman and Hall London, UK
-
McCullagh, P., Nelder, J.A., Generalized Linear Models. second ed., 1989, Chapman and Hall, London, UK.
-
(1989)
-
-
McCullagh, P.1
Nelder, J.A.2
-
31
-
-
0003646026
-
Generalized, Linear, and Mixed Models
-
Wiley New York, NY
-
McCulloch, C.E., Searle, S.R., Neuhaus, J.M., Generalized, Linear, and Mixed Models. 2001, Wiley, New York, NY.
-
(2001)
-
-
McCulloch, C.E.1
Searle, S.R.2
Neuhaus, J.M.3
-
32
-
-
84948109721
-
The EM Algorithm and Extensions
-
second ed. Wiley-Interscience New York, NY
-
McLachlan, G.J., Krishnan, T., The EM Algorithm and Extensions. second ed., 2008, Wiley-Interscience, New York, NY.
-
(2008)
-
-
McLachlan, G.J.1
Krishnan, T.2
-
33
-
-
29544432699
-
Geostatistical modelling of spatial distribution of Balaenoptera physalus in the Northwestern Mediterranean Sea from sparse count data and heterogeneous observation efforts
-
Monestiez, P., Dubroca, L., Bonnin, E., Durbec, J.-P., Guinet, C., Geostatistical modelling of spatial distribution of Balaenoptera physalus in the Northwestern Mediterranean Sea from sparse count data and heterogeneous observation efforts. Ecological Modelling 193 (2006), 615–628.
-
(2006)
Ecological Modelling
, vol.193
, pp. 615-628
-
-
Monestiez, P.1
Dubroca, L.2
Bonnin, E.3
Durbec, J.-P.4
Guinet, C.5
-
34
-
-
84870690375
-
Spatial statistical data fusion for remote sensing applications
-
Nguyen, H., Cressie, N., Braverman, A., Spatial statistical data fusion for remote sensing applications. Journal of the American Statistical Association 107 (2012), 1004–1018.
-
(2012)
Journal of the American Statistical Association
, vol.107
, pp. 1004-1018
-
-
Nguyen, H.1
Cressie, N.2
Braverman, A.3
-
35
-
-
0003132736
-
Bayesian Kriging—merging observations and qualified guesses in kriging
-
Omre, H., Bayesian Kriging—merging observations and qualified guesses in kriging. Mathematical Geology 19 (1987), 25–39.
-
(1987)
Mathematical Geology
, vol.19
, pp. 25-39
-
-
Omre, H.1
-
36
-
-
0032772756
-
Petroleum geostatistics
-
E.Y. Baafi N.A. Schofield Kluwer Academic Publishers Dordrecht, NL
-
Omre, H., Tjelmeland, H., Petroleum geostatistics. Baafi, E.Y., Schofield, N.A., (eds.) Geostatistics Wollongong ’96, Vol. 1, 1997, Kluwer Academic Publishers, Dordrecht, NL, 41–52.
-
(1997)
Geostatistics Wollongong ’96, Vol. 1
, pp. 41-52
-
-
Omre, H.1
Tjelmeland, H.2
-
37
-
-
77957761445
-
The importance of scale for spatial-confounding bias and precision of spatial regression estimators
-
Paciorek, C.J., The importance of scale for spatial-confounding bias and precision of spatial regression estimators. Statistical Science 25 (2010), 107–125.
-
(2010)
Statistical Science
, vol.25
, pp. 107-125
-
-
Paciorek, C.J.1
-
38
-
-
33845478186
-
Effects of residual smoothing on the posterior of the fixed effects in disease-mapping models
-
Reich, B.J., Hodges, J.S., Zadnik, V., Effects of residual smoothing on the posterior of the fixed effects in disease-mapping models. Biometrics 62 (2006), 1197–1206.
-
(2006)
Biometrics
, vol.62
, pp. 1197-1206
-
-
Reich, B.J.1
Hodges, J.S.2
Zadnik, V.3
-
39
-
-
84977551116
-
Monte Carlo Statistical Methods
-
Springer New York, NY
-
Robert, C.P., Casella, G., Monte Carlo Statistical Methods. 2004, Springer, New York, NY.
-
(2004)
-
-
Robert, C.P.1
Casella, G.2
-
40
-
-
77952603871
-
Gaussian Markov Random Fields: Theory and Applications
-
Chapman & Hall/CRC London, UK
-
Rue, H., Held, L., Gaussian Markov Random Fields: Theory and Applications. 2005, Chapman & Hall/CRC, London, UK.
-
(2005)
-
-
Rue, H.1
Held, L.2
-
41
-
-
84884319825
-
Empirical hierarchical modeling for count data using the Spatial Random Effects model, Spatial Economic Analysis (forthcoming)
-
Sengupta, A., Cressie, N., 2013. Empirical hierarchical modeling for count data using the Spatial Random Effects model, Spatial Economic Analysis (forthcoming).
-
(2013)
-
-
Sengupta, A.1
Cressie, N.2
-
42
-
-
35349012069
-
Global statistical analysis of MISR aerosol data: a massive data product from NASA's Terra satellite
-
Shi, T., Cressie, N., Global statistical analysis of MISR aerosol data: a massive data product from NASA's Terra satellite. Environmetrics 18 (2007), 665–680.
-
(2007)
Environmetrics
, vol.18
, pp. 665-680
-
-
Shi, T.1
Cressie, N.2
-
43
-
-
84864294409
-
Think continuous: Markovian Gaussian models in spatial statistics
-
Simpson, D., Lindgren, F., Rue, H., Think continuous: Markovian Gaussian models in spatial statistics. Spatial Statistics 1 (2012), 16–29.
-
(2012)
Spatial Statistics
, vol.1
, pp. 16-29
-
-
Simpson, D.1
Lindgren, F.2
Rue, H.3
-
45
-
-
79958225750
-
Low-rank representations for spatial processes
-
A.E. Gelfand P.J. Diggle M. Fuentes P. Guttorp Chapman and Hall/CRC Boca Raton, FL
-
Wikle, C.K., Low-rank representations for spatial processes. Gelfand, A.E., Diggle, P.J., Fuentes, M., Guttorp, P., (eds.) Handbook of Spatial Statistics, 2010, Chapman and Hall/CRC, Boca Raton, FL, 107–118.
-
(2010)
Handbook of Spatial Statistics
, pp. 107-118
-
-
Wikle, C.K.1
-
46
-
-
0032409329
-
Hierarchical Bayesian space–time models
-
Wikle, C.K., Berliner, L.M., Cressie, N., Hierarchical Bayesian space–time models. Environmental and Ecological Statistics 5 (1998), 117–154.
-
(1998)
Environmental and Ecological Statistics
, vol.5
, pp. 117-154
-
-
Wikle, C.K.1
Berliner, L.M.2
Cressie, N.3
-
47
-
-
1542469523
-
Spatiotemporal hierarchical Bayesian modeling: Tropical ocean surface winds
-
Wikle, C.K., Milliff, R.F., Nychka, D., Berliner, L.M., Spatiotemporal hierarchical Bayesian modeling: Tropical ocean surface winds. Journal of the American Statistical Association 96 (2001), 382–397.
-
(2001)
Journal of the American Statistical Association
, vol.96
, pp. 382-397
-
-
Wikle, C.K.1
Milliff, R.F.2
Nychka, D.3
Berliner, L.M.4
-
48
-
-
0036188841
-
On estimation and prediction for spatial generalized linear models
-
Zhang, H., On estimation and prediction for spatial generalized linear models. Biometrics 58 (2002), 129–136.
-
(2002)
Biometrics
, vol.58
, pp. 129-136
-
-
Zhang, H.1
|