-
3
-
-
47649103974
-
Gaussian predictive process models for large spatial data sets
-
Banerjee S, Gelfand AE, Finley AO, Sang H. 2008. Gaussian predictive process models for large spatial data sets. Journal of the Royal Statistical Society, Series B 70(4): 825-848.
-
(2008)
Journal of the Royal Statistical Society, Series B
, vol.70
, Issue.4
, pp. 825-848
-
-
Banerjee, S.1
Gelfand, A.E.2
Finley, A.O.3
Sang, H.4
-
5
-
-
17444376543
-
Exploring space-time structure in ozone concentration using a dynamic process convolution model
-
C Gatsonis, R Kass, A Carriquiry, A Gelman, D Higdon, D Pauler, I Verdinelli (eds). Springer: New York, NY
-
Calder CA, Holloman C, Higdon D. 2002. Exploring space-time structure in ozone concentration using a dynamic process convolution model. In Case Studies in Bayesian Statistics, Vol. VI, C Gatsonis, R Kass, A Carriquiry, A Gelman, D Higdon, D Pauler, I Verdinelli (eds). Springer: New York, NY; 165-176.
-
(2002)
Case Studies in Bayesian Statistics
, vol.6
, pp. 165-176
-
-
Calder, C.A.1
Holloman, C.2
Higdon, D.3
-
6
-
-
70349234435
-
Models for bounded systems with continuous dynamics
-
Cangelosi A, Hooten MB. 2009. Models for bounded systems with continuous dynamics. Biometrics 65(3): 850-856.
-
(2009)
Biometrics
, vol.65
, Issue.3
, pp. 850-856
-
-
Cangelosi, A.1
Hooten, M.B.2
-
7
-
-
0000193853
-
On Gibbs sampling for state space models
-
Carter C, Kohn R. 1994. On Gibbs sampling for state space models. Biometrika 81(3): 541-553.
-
(1994)
Biometrika
, vol.81
, Issue.3
, pp. 541-553
-
-
Carter, C.1
Kohn, R.2
-
8
-
-
33747076106
-
AIRS - Improving weather forecasting and providing new data on greenhouse gases
-
Chahine M, Pagano TS, Aumann H, Atlas R, Barnet C, Blaisdell J, Chen L, Divakarla M, Fetzer E, Goldberg M, Gautier C, Granger S, Hannon S, Irion F, Kakar R, Kalnay E, Lambrigtsen B, Lee SY, Marshall JL, Mcmillian WW, Mcmillin L, Olsen E, Revercomb H, Rosenkranz P, Smith W, Staelin D, Strow L, Susskind J, Tobin D, Wolf W, Zhou L. 2006. AIRS - Improving weather forecasting and providing new data on greenhouse gases. Bulletin of the American Meteorological Society 87(7): 911-926.
-
(2006)
Bulletin of the American Meteorological Society
, vol.87
, Issue.7
, pp. 911-926
-
-
Chahine, M.1
Pagano, T.S.2
Aumann, H.3
Atlas, R.4
Barnet, C.5
Blaisdell, J.6
Chen, L.7
Divakarla, M.8
Fetzer, E.9
Goldberg, M.10
Gautier, C.11
Granger, S.12
Hannon, S.13
Irion, F.14
Kakar, R.15
Kalnay, E.16
Lambrigtsen, B.17
Lee, S.Y.18
Marshall, J.L.19
Mcmillian, W.W.20
Mcmillin, L.21
Olsen, E.22
Revercomb, H.23
Rosenkranz, P.24
Smith, W.25
Staelin, D.26
Strow, L.27
Susskind, J.28
Tobin, D.29
Wolf, W.30
Zhou, L.31
more..
-
9
-
-
0003548569
-
-
revised edn.) John Wiley & Sons: New York, NY.
-
Cressie N. 1993. Statistics for Spatial Data, (revised edn.) John Wiley & Sons: New York, NY.
-
(1993)
Statistics for Spatial Data
-
-
Cressie, N.1
-
16
-
-
67349265140
-
The EM algorithm in a distributed computing environment for modelling environmental space-time data
-
Fassò A, Cameletti M. 2009. The EM algorithm in a distributed computing environment for modelling environmental space-time data. Environmental Modelling & Software 24(9): 1027-1035.
-
(2009)
Environmental Modelling & Software
, vol.24
, Issue.9
, pp. 1027-1035
-
-
Fassò, A.1
Cameletti, M.2
-
17
-
-
0000761371
-
Applied state space modelling of non-Gaussian time series using integration-based Kalman filtering
-
Frühwirth-Schnatter S. 1994. Applied state space modelling of non-Gaussian time series using integration-based Kalman filtering. Statistics and Computing 4(4): 259-269.
-
(1994)
Statistics and Computing
, vol.4
, Issue.4
, pp. 259-269
-
-
Frühwirth-Schnatter, S.1
-
18
-
-
0034913394
-
Estimation of motion from sequences of images: daily variability of total ozone mapping spectrometer ozone data
-
Gelpke V, Künsch HR. 2001. Estimation of motion from sequences of images: daily variability of total ozone mapping spectrometer ozone data. Journal of Geophysical Research 106(D11): 11825-11834.
-
(2001)
Journal of Geophysical Research
, vol.106
, Issue.D11
, pp. 11825-11834
-
-
Gelpke, V.1
Künsch, H.R.2
-
19
-
-
0021518209
-
Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
-
Geman S, Geman D. 1984. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence 6(6): 721-741.
-
(1984)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.6
, Issue.6
, pp. 721-741
-
-
Geman, S.1
Geman, D.2
-
20
-
-
36148996468
-
Bayesian stochastic search for VAR model restrictions
-
George EI, Sun D, Ni S. 2008. Bayesian stochastic search for VAR model restrictions. Journal of Econometrics 1421): 553-580.
-
(2008)
Journal of Econometrics
, vol.142
, Issue.1
, pp. 553-580
-
-
George, E.I.1
Sun, D.2
Ni, S.3
-
21
-
-
33947274775
-
Strictly proper scoring rules, prediction, and estimation
-
Gneiting T, Raftery AE. 2007. Strictly proper scoring rules, prediction, and estimation. Journal of the American Statistical Association 102(477): 359-378.
-
(2007)
Journal of the American Statistical Association
, vol.102
, Issue.477
, pp. 359-378
-
-
Gneiting, T.1
Raftery, A.E.2
-
22
-
-
0038563932
-
An adaptive metropolis algorithm
-
Haario H, Saksman E, Tamminen J. 2001. An adaptive metropolis algorithm. Bernoulli 7(2): 223-242.
-
(2001)
Bernoulli
, vol.7
, Issue.2
, pp. 223-242
-
-
Haario, H.1
Saksman, E.2
Tamminen, J.3
-
23
-
-
0003410290
-
-
Princeton University Press: Princeton, NJ.
-
Hamilton J. 1994. Time Series Analysis. Princeton University Press: Princeton, NJ.
-
(1994)
Time Series Analysis
-
-
Hamilton, J.1
-
24
-
-
77956890234
-
Monte Carlo sampling methods using Markov chains and their applications
-
Hastings W. 1970. Monte Carlo sampling methods using Markov chains and their applications. Biometrika 57(1): 97-109.
-
(1970)
Biometrika
, vol.57
, Issue.1
, pp. 97-109
-
-
Hastings, W.1
-
25
-
-
0032422974
-
A process-convolution approach to modelling temperatures in the North Atlantic Ocean
-
Higdon D. 1998. A process-convolution approach to modelling temperatures in the North Atlantic Ocean. Environmental and Ecological Statistics 5(2): 173-190.
-
(1998)
Environmental and Ecological Statistics
, vol.5
, Issue.2
, pp. 173-190
-
-
Higdon, D.1
-
26
-
-
2942619617
-
Space and space-time modeling using process convolutions
-
C Anderson, V Barnett, P Chatwin, A El-Shaarawi (eds). Springer: London
-
Higdon D. 2002. Space and space-time modeling using process convolutions. In Quantitative Methods for Current Environmental Issues, C Anderson, V Barnett, P Chatwin, A El-Shaarawi (eds). Springer: London; 37-56.
-
(2002)
Quantitative Methods for Current Environmental Issues
, pp. 37-56
-
-
Higdon, D.1
-
28
-
-
78751616255
-
Nonstationary covariance models for global data
-
Jun M, Stein ML. 2008. Nonstationary covariance models for global data. Annals of Applied Statistics 2(4): 1271-1289.
-
(2008)
Annals of Applied Statistics
, vol.2
, Issue.4
, pp. 1271-1289
-
-
Jun, M.1
Stein, M.L.2
-
29
-
-
85024429815
-
A new approach to linear filtering and prediction problems
-
Kalman R. 1960. A new approach to linear filtering and prediction problems. Journal of Basic Engineering 82(1): 35-45.
-
(1960)
Journal of Basic Engineering
, vol.82
, Issue.1
, pp. 35-45
-
-
Kalman, R.1
-
31
-
-
77955119363
-
Using temporal variability to improve spatial mapping with application to satellite data
-
Kang EL, Cressie N, Shi T. 2010. Using temporal variability to improve spatial mapping with application to satellite data. Canadian Journal of Statistics 38(2): 271-289.
-
(2010)
Canadian Journal of Statistics
, vol.38
, Issue.2
, pp. 271-289
-
-
Kang, E.L.1
Cressie, N.2
Shi, T.3
-
32
-
-
62849124345
-
Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models
-
Kang EL, Liu D, Cressie N. 2009. Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models. Computational Statistics & Data Analysis 53(8): 3016-3032.
-
(2009)
Computational Statistics & Data Analysis
, vol.53
, Issue.8
, pp. 3016-3032
-
-
Kang, E.L.1
Liu, D.2
Cressie, N.3
-
33
-
-
0032529811
-
Analyses of global sea surface temperature 1856-1991
-
Kaplan A, Cane M, Kushnir Y, Clement A, Blumenthal M, Rajagopalan B. 1998. Analyses of global sea surface temperature 1856-1991. Journal of Geophysical Research 103(18): 18567-18589.
-
(1998)
Journal of Geophysical Research
, vol.103
, Issue.18
, pp. 18567-18589
-
-
Kaplan, A.1
Cane, M.2
Kushnir, Y.3
Clement, A.4
Blumenthal, M.5
Rajagopalan, B.6
-
34
-
-
84855950364
-
-
2, PhD Dissertation, TheOhio State University.
-
2, PhD Dissertation, TheOhio State University.
-
(2011)
-
-
Katzfuss, M.1
-
35
-
-
79958198727
-
Spatio-temporal smoothing and EM estimation for massive remote-sensing data sets
-
Katzfuss M, Cressie N. 2011. Spatio-temporal smoothing and EM estimation for massive remote-sensing data sets. Journal of Time Series Analysis 32(4): 430-446.
-
(2011)
Journal of Time Series Analysis
, vol.32
, Issue.4
, pp. 430-446
-
-
Katzfuss, M.1
Cressie, N.2
-
36
-
-
0030426365
-
Dispersal data and the spread of invading organisms
-
Kot M, Lewis M, van Den Driessche P. 1996. Dispersal data and the spread of invading organisms. Ecology 77: 2027-2042.
-
(1996)
Ecology
, vol.77
, pp. 2027-2042
-
-
Kot, M.1
Lewis, M.2
van Den Driessche, P.3
-
37
-
-
84952504842
-
Forecasting with Bayesian vector autoregressions: ffve years of experience
-
Litterman R. 1986. Forecasting with Bayesian vector autoregressions: ffve years of experience. Journal of Business & Economic Statistics 4(1): 25-38.
-
(1986)
Journal of Business & Economic Statistics
, vol.4
, Issue.1
, pp. 25-38
-
-
Litterman, R.1
-
39
-
-
25444457509
-
The kriged Kalman filter
-
Mardia K, Goodall C, Redfern E, Alonso F. 1998. The kriged Kalman filter. Test 7(2): 217-282.
-
(1998)
Test
, vol.7
, Issue.2
, pp. 217-282
-
-
Mardia, K.1
Goodall, C.2
Redfern, E.3
Alonso, F.4
-
40
-
-
5744249209
-
Equation of state calculations by fast computing machines
-
Metropolis N, Rosenbluth A, Rosenbluth M, Teller A, Teller E. 1953. Equation of state calculations by fast computing machines. The Journal of Chemical Physics 21(6): 1087-1092.
-
(1953)
The Journal of Chemical Physics
, vol.21
, Issue.6
, pp. 1087-1092
-
-
Metropolis, N.1
Rosenbluth, A.2
Rosenbluth, M.3
Teller, A.4
Teller, E.5
-
41
-
-
84993734384
-
Multiresolution models for nonstationary spatial covariance functions
-
Nychka DW, Wikle CK, Royle JA. 2002. Multiresolution models for nonstationary spatial covariance functions. Statistical Modelling 2(4): 315-331.
-
(2002)
Statistical Modelling
, vol.2
, Issue.4
, pp. 315-331
-
-
Nychka, D.W.1
Wikle, C.K.2
Royle, J.A.3
-
42
-
-
84855940505
-
-
DGGRID Software. Version 4.3b.
-
Sahr K. 2003. DGGRID Software. Version 4.3b.
-
(2003)
-
-
Sahr, K.1
-
44
-
-
0030485372
-
Reconstruction of historical sea surface temperatures using empirical orthogonal functions
-
Smith T, Reynolds R, Livezey R, Stokes D. 1996. Reconstruction of historical sea surface temperatures using empirical orthogonal functions. Journal of Climate 9(6): 1403-1420.
-
(1996)
Journal of Climate
, vol.9
, Issue.6
, pp. 1403-1420
-
-
Smith, T.1
Reynolds, R.2
Livezey, R.3
Stokes, D.4
-
45
-
-
0035650158
-
Dynamic models for spatiotemporal data
-
Stroud J, Müller P, Sansó B. 2001. Dynamic models for spatiotemporal data. Journal of the Royal Statistical Society, Series B 63(4): 673-689.
-
(2001)
Journal of the Royal Statistical Society, Series B
, vol.63
, Issue.4
, pp. 673-689
-
-
Stroud, J.1
Müller, P.2
Sansó, B.3
-
46
-
-
78449259962
-
An ensemble Kalman filter and smoother for satellite data assimilation
-
Stroud J, Stein ML, Lesht B, Schwab D. 2010. An ensemble Kalman filter and smoother for satellite data assimilation. Journal of the American Statistical Association 105(491): 978-990.
-
(2010)
Journal of the American Statistical Association
, vol.105
, Issue.491
, pp. 978-990
-
-
Stroud, J.1
Stein, M.L.2
Lesht, B.3
Schwab, D.4
-
48
-
-
0041985115
-
Hierarchical Bayesian models for predicting the spread of ecological processes
-
Wikle CK. 2003. Hierarchical Bayesian models for predicting the spread of ecological processes. Ecology 84(6): 1382-1394.
-
(2003)
Ecology
, vol.84
, Issue.6
, pp. 1382-1394
-
-
Wikle, C.K.1
-
49
-
-
79958225750
-
Low-rank representations for spatial processes
-
AE Gelfand, M Fuentes, P Guttorp, P Diggle (eds). Chapman and Hall/CRC: Boca Raton, FL
-
Wikle CK. 2010. Low-rank representations for spatial processes. In Handbook of Spatial Statistics, AE Gelfand, M Fuentes, P Guttorp, P Diggle (eds). Chapman and Hall/CRC: Boca Raton, FL; 107-118.
-
(2010)
Handbook of Spatial Statistics
, pp. 107-118
-
-
Wikle, C.K.1
-
51
-
-
0000414912
-
A dimension-reduced approach to space-time Kalman filtering
-
Wikle CK, Cressie N. 1999. A dimension-reduced approach to space-time Kalman filtering. Biometrika 86(4): 815-829.
-
(1999)
Biometrika
, vol.86
, Issue.4
, pp. 815-829
-
-
Wikle, C.K.1
Cressie, N.2
-
52
-
-
78449244115
-
A general science-based framework for dynamical spatio-temporal models
-
Wikle CK, Hooten MB. 2010. A general science-based framework for dynamical spatio-temporal models. Test 19(3): 417-451.
-
(2010)
Test
, vol.19
, Issue.3
, pp. 417-451
-
-
Wikle, C.K.1
Hooten, M.B.2
-
53
-
-
1542469523
-
Spatiotemporal hierarchical Bayesian modeling: tropical ocean surface winds
-
Wikle K, Milliff R, Nychka DW, Berliner L. 2001. Spatiotemporal hierarchical Bayesian modeling: tropical ocean surface winds. Journal of the American Statistical Association 96(454): 382-397.
-
(2001)
Journal of the American Statistical Association
, vol.96
, Issue.454
, pp. 382-397
-
-
Wikle, K.1
Milliff, R.2
Nychka, D.W.3
Berliner, L.4
-
54
-
-
29144508557
-
A kernel-based spatio-temporal dynamical model for nowcasting radar precipitation
-
Xu B, Wikle CK, Fox N. 2005. A kernel-based spatio-temporal dynamical model for nowcasting radar precipitation. Journal of the American Statistical Association 100(472): 1133-1144.
-
(2005)
Journal of the American Statistical Association
, vol.100
, Issue.472
, pp. 1133-1144
-
-
Xu, B.1
Wikle, C.K.2
Fox, N.3
-
55
-
-
33749362015
-
Estimation of parameterized spatio-temporal dynamic models
-
Xu K, Wikle CK. 2007. Estimation of parameterized spatio-temporal dynamic models. Journal of Statistical Planning and Inference 137(2): 567-588.
-
(2007)
Journal of Statistical Planning and Inference
, vol.137
, Issue.2
, pp. 567-588
-
-
Xu, K.1
Wikle, C.K.2
|