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Volumn 50, Issue 2, 2006, Pages 422-445

A model for non-parametric spatially varying regression effects

Author keywords

General additive model; Mixture model; Spatial filtering; Spatially varying regression effects

Indexed keywords

DATA REDUCTION; DISEASE CONTROL; FUNCTIONS; MAPPING; MATHEMATICAL MODELS;

EID: 24944462224     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2004.08.008     Document Type: Article
Times cited : (21)

References (41)
  • 1
    • 0003071947 scopus 로고
    • Scale mixtures of normal distributions
    • D. Andrews, and C. Mallows Scale mixtures of normal distributions J. Roy. Statist. Soc. B 36 1974 99 102
    • (1974) J. Roy. Statist. Soc. B , vol.36 , pp. 99-102
    • Andrews, D.1    Mallows, C.2
  • 2
    • 0042463715 scopus 로고
    • Spatial dependence and spatial heterogeneity: Model specification: Issues in the spatial expansion paradigm
    • J. Jones E. Casetti Routledge London
    • L. Anselin Spatial dependence and spatial heterogeneity: model specification issues in the spatial expansion paradigm J. Jones E. Casetti Applications of the Expansion Method 1992 Routledge London 334 354
    • (1992) Applications of the Expansion Method , pp. 334-354
    • Anselin, L.1
  • 3
    • 0028835190 scopus 로고
    • Bayesian estimates of disease maps: How important are priors?
    • L. Bernardinelli, D. Clayton, and C. Montomoli Bayesian estimates of disease maps how important are priors? Statist. Med. 14 1995 2411 2431
    • (1995) Statist. Med. , vol.14 , pp. 2411-2431
    • Bernardinelli, L.1    Clayton, D.2    Montomoli, C.3
  • 4
    • 28344449679 scopus 로고
    • Bayesian image restoration with two applications in spatial statistics
    • J. Besag, J. York, and A. Mollié Bayesian image restoration with two applications in spatial statistics Ann. Inst. Statist. Math. 43 1991 1 59
    • (1991) Ann. Inst. Statist. Math. , vol.43 , pp. 1-59
    • Besag, J.1    York, J.2    Mollié, A.3
  • 5
    • 0031476166 scopus 로고    scopus 로고
    • Bayesian spline-type smoothing in generalized regression models
    • C. Biller, and L. Fahrmeir Bayesian spline-type smoothing in generalized regression models Comput. Statist. 12 1997 135 151
    • (1997) Comput. Statist. , vol.12 , pp. 135-151
    • Biller, C.1    Fahrmeir, L.2
  • 7
    • 84988112810 scopus 로고
    • Inference for nonconjugate Bayesian models using the Gibbs sampler
    • B. Carlin, and N. Polson Inference for nonconjugate Bayesian models using the Gibbs sampler Can. J. Statist. 19 1991 399 405
    • (1991) Can. J. Statist. , vol.19 , pp. 399-405
    • Carlin, B.1    Polson, N.2
  • 8
    • 0000193853 scopus 로고
    • On Gibbs sampling for state space models
    • C. Carter, and R. Kohn On Gibbs sampling for state space models Biometrika 81 1994 541 553
    • (1994) Biometrika , vol.81 , pp. 541-553
    • Carter, C.1    Kohn, R.2
  • 9
    • 24944529520 scopus 로고    scopus 로고
    • Robust Bayesian nonparametric regression
    • Australian Graduate School of Management
    • Carter, C., Kohn, R., 1996. Robust Bayesian nonparametric regression. Statistics Working Paper 96004, Australian Graduate School of Management.
    • (1996) Statistics Working Paper 96004
    • Carter, C.1    Kohn, R.2
  • 10
    • 0033845603 scopus 로고    scopus 로고
    • A Bayesian approach to prediction using the gravity model, with an application to patient flow modelling
    • P. Congdon A Bayesian approach to prediction using the gravity model, with an application to patient flow modelling Geog. Anal. 32 2000 205 224
    • (2000) Geog. Anal. , vol.32 , pp. 205-224
    • Congdon, P.1
  • 11
    • 0142072527 scopus 로고    scopus 로고
    • Modelling spatially varying impacts of socioeconomic predictors on mortality outcomes
    • P. Congdon Modelling spatially varying impacts of socioeconomic predictors on mortality outcomes J. Geog. Systems 5 2003 161 184
    • (2003) J. Geog. Systems , vol.5 , pp. 161-184
    • Congdon, P.1
  • 13
    • 24944496338 scopus 로고    scopus 로고
    • Bayesian predictive model comparison via parallel sampling
    • forthcoming
    • Congdon, P., 2004. Bayesian predictive model comparison via parallel sampling. Comput. Statist. Data Anal. 44, forthcoming.
    • (2004) Comput. Statist. Data Anal. , vol.44
    • Congdon, P.1
  • 17
    • 0036489049 scopus 로고    scopus 로고
    • Air pollution and mortality: Estimating regional and national dose-response relationships
    • F. Dominici, M. Daniels, L. Scott, S. Zeger, and J. Samet Air pollution and mortality estimating regional and national dose-response relationships J. Amer. Statist. Assoc. 97 2002 100 111
    • (2002) J. Amer. Statist. Assoc. , vol.97 , pp. 100-111
    • Dominici, F.1    Daniels, M.2    Scott, L.3    Zeger, S.4    Samet, J.5
  • 18
    • 0035649015 scopus 로고    scopus 로고
    • Bayesian inference for generalized additive mixed models based on Markov random field priors
    • L. Fahrmeir, and S. Lang Bayesian inference for generalized additive mixed models based on Markov random field priors Appl. Statist. 50 2001 201 220
    • (2001) Appl. Statist. , vol.50 , pp. 201-220
    • Fahrmeir, L.1    Lang, S.2
  • 20
    • 0037471367 scopus 로고    scopus 로고
    • Space-varying regression models: Specifications and simulation
    • D. Gamerman, A. Moreira, and H. Rue Space-varying regression models specifications and simulation Comput. Statist. Data Anal. 42 2003 513 533
    • (2003) Comput. Statist. Data Anal. , vol.42 , pp. 513-533
    • Gamerman, D.1    Moreira, A.2    Rue, H.3
  • 21
    • 0001803816 scopus 로고    scopus 로고
    • Model determination using sampling-based methods
    • W. Gilks Chapman & Hall London*et al.
    • A. Gelfand Model determination using sampling-based methods W. Gilks Markov Chain Monte Carlo in Practice 1996 Chapman & Hall London 145 162
    • (1996) Markov Chain Monte Carlo in Practice , pp. 145-162
    • Gelfand, A.1
  • 24
    • 0034665763 scopus 로고    scopus 로고
    • Modelling categorical covariates in Bayesian disease mapping by partition structures
    • P. Giudici, L. Knorr-Held, and G. Rasser Modelling categorical covariates in Bayesian disease mapping by partition structures Statist. Med. 19 2000 2579 2593
    • (2000) Statist. Med. , vol.19 , pp. 2579-2593
    • Giudici, P.1    Knorr-Held, L.2    Rasser, G.3
  • 27
    • 0034944151 scopus 로고    scopus 로고
    • The influence of the economic and social environment on deliberate self-harm and suicide: An ecological and person-based study
    • K. Hawton, L. Harriss, and K. Hodder The influence of the economic and social environment on deliberate self-harm and suicide an ecological and person-based study Psychol. Med. 31 2001 827 836
    • (2001) Psychol. Med. , vol.31 , pp. 827-836
    • Hawton, K.1    Harriss, L.2    Hodder, K.3
  • 29
    • 0033240221 scopus 로고    scopus 로고
    • Conditional prior proposals in dynamic models
    • L. Knorr-Held Conditional prior proposals in dynamic models Scand. J. Statist. 26 1999 129 144
    • (1999) Scand. J. Statist. , vol.26 , pp. 129-144
    • Knorr-Held, L.1
  • 30
    • 0033248083 scopus 로고    scopus 로고
    • Multilevel modelling of the geographical distributions of diseases
    • I. Langford, A. Leyland, J. Rasbash, and H. Goldstein Multilevel modelling of the geographical distributions of diseases Appl. Statist. 48 1999 253 268
    • (1999) Appl. Statist. , vol.48 , pp. 253-268
    • Langford, I.1    Leyland, A.2    Rasbash, J.3    Goldstein, H.4
  • 31
    • 0037083114 scopus 로고    scopus 로고
    • Spatial mixture relative risk models applied to disease mapping
    • A. Lawson, and A. Clark Spatial mixture relative risk models applied to disease mapping Statist. Med. 21 2002 359 370
    • (2002) Statist. Med. , vol.21 , pp. 359-370
    • Lawson, A.1    Clark, A.2
  • 33
    • 0032494767 scopus 로고    scopus 로고
    • Suicide, deprivation, and unemployment: Record linkage study
    • G. Lewis, and A. Sloggett Suicide, deprivation, and unemployment record linkage study Brit. Med. J. 317 1998 1283 1286
    • (1998) Brit. Med. J. , vol.317 , pp. 1283-1286
    • Lewis, G.1    Sloggett, A.2
  • 34
    • 0036745528 scopus 로고    scopus 로고
    • Predictive variable selection in generalized linear models
    • M. Meyer, and P. Laud Predictive variable selection in generalized linear models J. Amer. Statist. Assoc. 97 2002 859 871
    • (2002) J. Amer. Statist. Assoc. , vol.97 , pp. 859-871
    • Meyer, M.1    Laud, P.2
  • 36
    • 0030625005 scopus 로고    scopus 로고
    • Weibull regression model with gamma frailties for multivariate survival data
    • S. Sahu, D. Dey, H. Aslanidou, and D. Sinha Weibull regression model with gamma frailties for multivariate survival data Life Time Data Anal. 3 1997 1 15
    • (1997) Life Time Data Anal. , vol.3 , pp. 1-15
    • Sahu, S.1    Dey, D.2    Aslanidou, H.3    Sinha, D.4
  • 37
    • 0141796660 scopus 로고    scopus 로고
    • Modelling accelerated life test data by using a Bayesian approach
    • D. Sinha, K. Patra, and D. Dey Modelling accelerated life test data by using a Bayesian approach Appl. Statist. 52 2003 249 259
    • (2003) Appl. Statist. , vol.52 , pp. 249-259
    • Sinha, D.1    Patra, K.2    Dey, D.3
  • 39
    • 84973801566 scopus 로고
    • Pediatric pain, predictive inference and sensitivity analysis
    • R. Weiss Pediatric pain, predictive inference and sensitivity analysis Evaluat. Rev. 18 1994 651 678
    • (1994) Evaluat. Rev. , vol.18 , pp. 651-678
    • Weiss, R.1
  • 40
    • 0032347252 scopus 로고    scopus 로고
    • A Bayesian approach to robust nonparametric binary regression
    • S. Wood, and R. Kohn A Bayesian approach to robust nonparametric binary regression J. Amer. Statist. Assoc. 93 1998 203 213
    • (1998) J. Amer. Statist. Assoc. , vol.93 , pp. 203-213
    • Wood, S.1    Kohn, R.2
  • 41
    • 13844262338 scopus 로고    scopus 로고
    • Bayesian mixture of splines for spatially adaptive nonparametric regression
    • S. Wood, W. Jiang, and M. Tanner 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


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.