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Volumn 52, Issue 6, 2008, Pages 3187-3197

Forecasting binary longitudinal data by a functional PC-ARIMA model

Author keywords

ARIMA modelling; Functional principal component analysis; Logistic regression

Indexed keywords

FUNCTIONAL ANALYSIS; PARAMETER ESTIMATION; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; TIME SERIES ANALYSIS;

EID: 39049100940     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2007.09.015     Document Type: Article
Times cited : (15)

References (29)
  • 1
    • 0031153750 scopus 로고    scopus 로고
    • An approximated principal component prediction model for continuous-time stochastic processes
    • Aguilera A.M., Ocaña F.A., and Valderrama M.J. An approximated principal component prediction model for continuous-time stochastic processes. Appl. Stochastic Models Data Anal. 13 1 (1997) 61-72
    • (1997) Appl. Stochastic Models Data Anal. , vol.13 , Issue.1 , pp. 61-72
    • Aguilera, A.M.1    Ocaña, F.A.2    Valderrama, M.J.3
  • 2
    • 2542638467 scopus 로고    scopus 로고
    • Forecasting with unequally spaced data by a functional principal component approach
    • Aguilera A.M., Ocaña F.A., and Valderrama M.J. Forecasting with unequally spaced data by a functional principal component approach. Test 8 1 (1999) 233-253
    • (1999) Test , vol.8 , Issue.1 , pp. 233-253
    • Aguilera, A.M.1    Ocaña, F.A.2    Valderrama, M.J.3
  • 3
    • 0038937979 scopus 로고    scopus 로고
    • Forecasting time series by functional PCA. Discussion of several weighted approaches
    • Aguilera A.M., Ocaña F.A., and Valderrama M.J. Forecasting time series by functional PCA. Discussion of several weighted approaches. Comput. Statist. 14 (1999) 442-467
    • (1999) Comput. Statist. , vol.14 , pp. 442-467
    • Aguilera, A.M.1    Ocaña, F.A.2    Valderrama, M.J.3
  • 4
    • 32444433406 scopus 로고    scopus 로고
    • Using principal components for estimating logistic regression with high-dimensional multicollinear data
    • Aguilera A.M., Escabias M., and Valderrama M.J. Using principal components for estimating logistic regression with high-dimensional multicollinear data. Comput. Statist. Data Anal. 50 8 (2006) 1905-1924
    • (2006) Comput. Statist. Data Anal. , vol.50 , Issue.8 , pp. 1905-1924
    • Aguilera, A.M.1    Escabias, M.2    Valderrama, M.J.3
  • 5
    • 33646078793 scopus 로고    scopus 로고
    • Modelling the mean of a doubly stochastic Poisson process by functional data analysis
    • Bouzas P.R., Valderrama M.J., Aguilera A.M., and Ruiz-Fuentes N. Modelling the mean of a doubly stochastic Poisson process by functional data analysis. Comput. Statist. Data Anal. 50 10 (2006) 2655-2667
    • (2006) Comput. Statist. Data Anal. , vol.50 , Issue.10 , pp. 2655-2667
    • Bouzas, P.R.1    Valderrama, M.J.2    Aguilera, A.M.3    Ruiz-Fuentes, N.4
  • 8
    • 2542635673 scopus 로고    scopus 로고
    • Principal component estimation of functional logistic regression: discussion of two different approaches
    • Escabias M., Aguilera A.M., and Valderrama M.J. Principal component estimation of functional logistic regression: discussion of two different approaches. J. Nonparametric Statist. 16 (2004) 365-384
    • (2004) J. Nonparametric Statist. , vol.16 , pp. 365-384
    • Escabias, M.1    Aguilera, A.M.2    Valderrama, M.J.3
  • 9
    • 12444303319 scopus 로고    scopus 로고
    • Modelling environmental data by functional principal component logistic regression
    • Escabias M., Aguilera A.M., and Valderrama M.J. Modelling environmental data by functional principal component logistic regression. Environmetrics 16 1 (2005) 95-107
    • (2005) Environmetrics , vol.16 , Issue.1 , pp. 95-107
    • Escabias, M.1    Aguilera, A.M.2    Valderrama, M.J.3
  • 11
    • 0141989607 scopus 로고    scopus 로고
    • Curves discrimination: a nonparametric functional approach
    • Ferraty F., and Vieu P. Curves discrimination: a nonparametric functional approach. Comput. Statist. Data Anal. 44 (2003) 161-173
    • (2003) Comput. Statist. Data Anal. , vol.44 , pp. 161-173
    • Ferraty, F.1    Vieu, P.2
  • 12
    • 33845778635 scopus 로고    scopus 로고
    • Auxiliary mixture sampling with applications to logistic models
    • Fruhwirth-Schnattera S., and Fruhwirthb R. Auxiliary mixture sampling with applications to logistic models. Comput. Statist. Data Anal. 51 7 (2006) 3509-3528
    • (2006) Comput. Statist. Data Anal. , vol.51 , Issue.7 , pp. 3509-3528
    • Fruhwirth-Schnattera, S.1    Fruhwirthb, R.2
  • 14
    • 33847392486 scopus 로고    scopus 로고
    • Forecast comparison of principal component regression and principal covariate regression
    • Heij C., Groenen P.J.F., and Dijk D. Forecast comparison of principal component regression and principal covariate regression. Comput. Statist. Data Anal. 51 7 (2007) 3612-3625
    • (2007) Comput. Statist. Data Anal. , vol.51 , Issue.7 , pp. 3612-3625
    • Heij, C.1    Groenen, P.J.F.2    Dijk, D.3
  • 15
    • 39049141949 scopus 로고    scopus 로고
    • Hyndman, R.J., 1999. Nonparametric additive regression models for binary time series. In: Proceedings, 1999 Australasian Meeting of the Econometric Society, 7-9 July 1999, University of Technology, Sydney.
    • Hyndman, R.J., 1999. Nonparametric additive regression models for binary time series. In: Proceedings, 1999 Australasian Meeting of the Econometric Society, 7-9 July 1999, University of Technology, Sydney.
  • 16
    • 33750436765 scopus 로고    scopus 로고
    • Robust forecasting of mortality and fertility rates: a functional data approach
    • Hyndman R.J., and Ullah Md.S. Robust forecasting of mortality and fertility rates: a functional data approach. Comput. Statist. Data Anal. 51 10 (2007) 4942-4956
    • (2007) Comput. Statist. Data Anal. , vol.51 , Issue.10 , pp. 4942-4956
    • Hyndman, R.J.1    Ullah, Md.S.2
  • 17
    • 0036020889 scopus 로고    scopus 로고
    • Generalized linear models with functional predictors
    • James G.M. Generalized linear models with functional predictors. J. Roy. Statist. Soc. Ser. B 64 3 (2002) 411-432
    • (2002) J. Roy. Statist. Soc. Ser. B , vol.64 , Issue.3 , pp. 411-432
    • James, G.M.1
  • 18
    • 0030663553 scopus 로고    scopus 로고
    • Regional indexes of climate variation temperature and rainfall in Queensland, Australia
    • Lough J.M. Regional indexes of climate variation temperature and rainfall in Queensland, Australia. Internat. J. Climatology 17 1 (1997) 55-66
    • (1997) Internat. J. Climatology , vol.17 , Issue.1 , pp. 55-66
    • Lough, J.M.1
  • 19
    • 33644647924 scopus 로고    scopus 로고
    • An application of the TRAMO-SEATS automatic procedure; direct versus indirect adjustment
    • Maravall A. An application of the TRAMO-SEATS automatic procedure; direct versus indirect adjustment. Comput. Statist. Data Anal. 50 9 (2006) 2167-2190
    • (2006) Comput. Statist. Data Anal. , vol.50 , Issue.9 , pp. 2167-2190
    • Maravall, A.1
  • 20
    • 0000943119 scopus 로고    scopus 로고
    • The relationship of the El Niño southern oscillation to African rainfall
    • Nicholson S.E., and Kim E. The relationship of the El Niño southern oscillation to African rainfall. Internat. J. Climatology 17 2 (1997) 117-135
    • (1997) Internat. J. Climatology , vol.17 , Issue.2 , pp. 117-135
    • Nicholson, S.E.1    Kim, E.2
  • 21
    • 36049018344 scopus 로고    scopus 로고
    • Computational considerations in functional principal component analysis
    • Ocaña F.A., Aguilera A.M., and Escabias M. Computational considerations in functional principal component analysis. Comput. Statist. 22 3 (2007) 449-465
    • (2007) Comput. Statist. , vol.22 , Issue.3 , pp. 449-465
    • Ocaña, F.A.1    Aguilera, A.M.2    Escabias, M.3
  • 22
    • 33644643751 scopus 로고    scopus 로고
    • Time-dependent frequency domain principal components analysis of multichannel non-stationary signals
    • Ombaoa H., and Hob M.R. Time-dependent frequency domain principal components analysis of multichannel non-stationary signals. Comput. Statist. Data Anal. 50 9 (2006) 2339-2360
    • (2006) Comput. Statist. Data Anal. , vol.50 , Issue.9 , pp. 2339-2360
    • Ombaoa, H.1    Hob, M.R.2
  • 23
    • 10144244015 scopus 로고    scopus 로고
    • PLS regression on a stochastic process
    • Preda P., and Saporta G. PLS regression on a stochastic process. Comput. Statist. Data Anal. 48 1 (2005) 149-158
    • (2005) Comput. Statist. Data Anal. , vol.48 , Issue.1 , pp. 149-158
    • Preda, P.1    Saporta, G.2
  • 24
    • 34347222890 scopus 로고    scopus 로고
    • PLS classification of functional data
    • Preda P., Saporta G., and Lévéder C. PLS classification of functional data. Comput. Statist. 22 2 (2007) 223-235
    • (2007) Comput. Statist. , vol.22 , Issue.2 , pp. 223-235
    • Preda, P.1    Saporta, G.2    Lévéder, C.3
  • 27
    • 0037197606 scopus 로고    scopus 로고
    • Functional data analysis with application to periodically stimulated foetal heart rate data. II: functional logistic regression
    • Ratcliffe S.J., Leader L.R., and Heller G.Z. Functional data analysis with application to periodically stimulated foetal heart rate data. II: functional logistic regression. Statist. Med. 21 8 (2002) 1115-1127
    • (2002) Statist. Med. , vol.21 , Issue.8 , pp. 1115-1127
    • Ratcliffe, S.J.1    Leader, L.R.2    Heller, G.Z.3
  • 28
    • 39049108087 scopus 로고    scopus 로고
    • Valderrama, M.J., Aguilera, A.M., Ocaña, F.A., 1997. Predicción Dinámica Mediante Análisis de Datos Funcionales. La Muralla-Hespérides, Madrid.
    • Valderrama, M.J., Aguilera, A.M., Ocaña, F.A., 1997. Predicción Dinámica Mediante Análisis de Datos Funcionales. La Muralla-Hespérides, Madrid.
  • 29
    • 2542629545 scopus 로고    scopus 로고
    • Forecasting PC-ARIMA models for functional data
    • Härdle W., and Rönz B. (Eds), Physica-Verlag, New York
    • Valderrama M.J., Ocaña F.A., and Aguilera A.M. Forecasting PC-ARIMA models for functional data. In: Härdle W., and Rönz B. (Eds). Proceedings in Computational Statistics (2002), Physica-Verlag, New York 25-36
    • (2002) Proceedings in Computational Statistics , pp. 25-36
    • Valderrama, M.J.1    Ocaña, F.A.2    Aguilera, A.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.