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Volumn , Issue , 2010, Pages 1-290

Introduction to time series modeling

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EID: 85056396751     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/9781584889229     Document Type: Book
Times cited : (119)

References (89)
  • 1
    • 0008402220 scopus 로고
    • On the use of a linear model for the identification of feedback systems
    • Akaike, H. (1968), “On the use of a linear model for the identification of feedback systems”, Ann. Inst. Statist. Math., 20, 425-439.
    • (1968) Ann. Inst. Statist. Math , vol.20 , pp. 425-439
    • Akaike, H.1
  • 2
    • 84942737910 scopus 로고
    • Fitting autoregressive models for prediction
    • Akaike, H. (1969), “Fitting autoregressive models for prediction”, Ann. Inst. Statist. Math., 21, 243-247.
    • (1969) Ann. Inst. Statist. Math , vol.21 , pp. 243-247
    • Akaike, H.1
  • 3
    • 51249191789 scopus 로고
    • Autoregressive model fitting for control
    • Akaike, H. (1971), “Autoregressive model fitting for control”, Ann. Inst. Statist. Math., 23, 163-180.
    • (1971) Ann. Inst. Statist. Math , vol.23 , pp. 163-180
    • Akaike, H.1
  • 4
    • 0000501656 scopus 로고
    • Information theory and an extension of the maximum likelihood principle
    • eds. B.N. Petrov and F. Caski, Budapest, Akademiai Kiado
    • Akaike, H. (1973), “Information theory and an extension of the maximum likelihood principle”, in Second International Symposium on Information Theory, eds. B.N. Petrov and F. Caski, Budapest, Akademiai Kiado, 267-281.
    • (1973) Second International Symposium on Information Theory , pp. 267-281
    • Akaike, H.1
  • 5
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike, H. (1974), “A new look at the statistical model identification”, IEEE Trans. Automat. Control, AC-19, 716-723.
    • (1974) IEEE Trans. Automat. Control , vol.AC-19 , pp. 716-723
    • Akaike, H.1
  • 6
    • 0002909927 scopus 로고
    • On entropy maximization principle
    • P.R. Krishnaiah, ed. North Holland, The Netherlands
    • Akaike, H. (1977), “On entropy maximization principle”, in Applications of Statistics, P.R. Krishnaiah, ed. North Holland, The Netherlands, 27-41.
    • (1977) Applications of Statistics , pp. 27-41
    • Akaike, H.1
  • 7
    • 51849177370 scopus 로고
    • Likelihood and the Bayes procedure
    • J.M. Bernardo, M.H. De Groot, D.V. Lindley and A.F.M. Smith eds., University Press, Valencia, Spain
    • Akaike, H. (1980a), “Likelihood and the Bayes procedure”, in Bayesian Statistics, J.M. Bernardo, M.H. De Groot, D.V. Lindley and A.F.M. Smith eds., University Press, Valencia, Spain, 143-166.
    • (1980) Bayesian Statistics , pp. 143-166
    • Akaike, H.1
  • 8
    • 84986734428 scopus 로고
    • Seasonal adjustment by a Bayesian modeling
    • Akaike, H. (1980b), “Seasonal adjustment by a Bayesian modeling”, J. Time Series Analysis, 1, 1-13.
    • (1980) J. Time Series Analysis , vol.1 , pp. 1-13
    • Akaike, H.1
  • 9
    • 0039131656 scopus 로고
    • Comparative study of X-11 and Bayesian procedure of seasonal adjustment
    • U.S. Census Bureau
    • Akaike, H. and Ishiguro, M. (1983), “Comparative study of X-11 and Bayesian procedure of seasonal adjustment,” Applied Time Series Analysis of Economic Data, U.S. Census Bureau.
    • (1983) Applied Time Series Analysis of Economic Data
    • Akaike, H.1    Ishiguro, M.2
  • 11
    • 0015385037 scopus 로고
    • Nonlinear Bayesian estimation using Gaussian sum approximations
    • Alspach, D.L. and Sorenson, H.W. (1972), “Nonlinear Bayesian estimation using Gaussian sum approximations”, IEEE Trans, Automat. Control, 17, 439-447.
    • (1972) IEEE Trans, Automat. Control , vol.17 , pp. 439-447
    • Alspach, D.L.1    Sorenson, H.W.2
  • 13
    • 0018345540 scopus 로고
    • An algorithm for the exact likelihood of a mixed autoregressive moving average process
    • Ansley, C.F. (1979), “An algorithm for the exact likelihood of a mixed autoregressive moving average process”, Biometrika, 66, 59-65.
    • (1979) Biometrika , vol.66 , pp. 59-65
    • Ansley, C.F.1
  • 14
    • 0002090746 scopus 로고
    • On the theoretical specification and sampling properties of autocorrelated time series
    • Bartlett, M.S. (1946) “On the theoretical specification and sampling properties of autocorrelated time series”, Symposiumon Autocorrelation in Time Series, 27-41.
    • (1946) Symposiumon Autocorrelation in Time Series , pp. 27-41
    • Bartlett, M.S.1
  • 18
    • 77956800933 scopus 로고
    • System Identification: Advances and Case Studies, Mehra, P.K. and Lainiotis, D.G., eds, Academic Press, New York
    • Bohlin, T., (1976), “Four cases of identification of changing systems”, System Identification: Advances and Case Studies, Mehra, P.K. and Lainiotis, D.G., eds., 441-518, Academic Press, New York.
    • (1976) Four Cases of Identification of Changing Systems , pp. 441-518
    • Bohlin, T.1
  • 19
    • 0003812478 scopus 로고
    • W.H. Freeman, San Francisco
    • Bolt, B.A. (1987), Earthquakes, W.H. Freeman, San Francisco.
    • (1987) Earthquakes
    • Bolt, B.A.1
  • 20
    • 0000133998 scopus 로고
    • An analysis of transformations
    • Box, G.E.P. and Cox, D.R. (1964), “An analysis of transformations,” J. Royal Statist. Soc., IB-26, 211-252.
    • (1964) J. Royal Statist. Soc , vol.IB-26 , pp. 211-252
    • Box, G.E.P.1    Cox, D.R.2
  • 21
    • 0002613380 scopus 로고
    • Analysis and modeling of seasonal time series
    • ed. Zellner, A., U.S. Bureau of the Census, Economic Research Report ER-1
    • Box, G.E.P., Hillmer, S.C. and Tiao, G.C. (1978) “Analysis and modeling of seasonal time series”, in Seasonal Analysis of Time Seres, ed. Zellner, A., U.S. Bureau of the Census, Economic Research Report ER-1, 309-334.
    • (1978) Seasonal Analysis of Time Seres , pp. 309-334
    • Box, G.E.P.1    Hillmer, S.C.2    Tiao, G.C.3
  • 23
    • 0001541731 scopus 로고
    • A note on the generation of random normal deviates
    • Box, G. E. P., and Muller, M. E., (1958), “A note on the generation of random normal deviates”, Ann. Math. Statist., 29, 610-611.
    • (1958) Ann. Math. Statist , vol.29 , pp. 610-611
    • Box, G.E.P.1    Muller, M.E.2
  • 24
    • 0016326182 scopus 로고
    • Fourier analysis of stationary processes
    • Brillinger, D.R (1974), “Fourier analysis of stationary processes”, Proc. IEEE, 62, 1628-1643.
    • (1974) Proc. IEEE , vol.62 , pp. 1628-1643
    • Brillinger, D.R.1
  • 26
    • 19944366594 scopus 로고
    • The convergence of a class of double-rank minimization algorithms
    • Broyden, C. G. (1970), “The convergence of a class of double-rank minimization algorithms”, J. Inst. Math. Its Appl., 6, 76-90
    • (1970) J. Inst. Math. Its Appl , vol.6 , pp. 76-90
    • Broyden, C.G.1
  • 27
    • 0004147631 scopus 로고
    • Maximum entropy spectral analysis
    • Peprinted in Modern Spectrum Anglysis, Childers, D.G. ed., IEEE Press, New York(1978)
    • Burg, J.P. (1967), “Maximum entropy spectral analysis”, in Proc. 37th Meeting of the Society of Exploration Geophysicists, Peprinted in Modern Spectrum Anglysis, Childers, D.G. ed., IEEE Press, New York(1978), 34-39.
    • (1967) Proc. 37Th Meeting of the Society of Exploration Geophysicists , pp. 34-39
    • Burg, J.P.1
  • 28
    • 84950445183 scopus 로고
    • AMonte Carlo approach to nonnormal and nonlinear state space modeling
    • Carlin, B.P., Polson, N.G. and Stoffer, D.S. (1992), “AMonte Carlo approach to nonnormal and nonlinear state space modeling”, J. Amer. Statist. Assoc., 75, 493-500.
    • (1992) J. Amer. Statist. Assoc , vol.75 , pp. 493-500
    • Carlin, B.P.1    Polson, N.G.2    Stoffer, D.S.3
  • 30
    • 0009359197 scopus 로고
    • Calendar effects in monthly time series: Detection by spectrum analysis and graphical methods
    • Cleveland, W.S. and Devlin, S.J. (1980), “Calendar effects in monthly time series: Detection by spectrum analysis and graphical methods”, J. Amer. Statist. Assoc., 75, 487-496.
    • (1980) J. Amer. Statist. Assoc , vol.75 , pp. 487-496
    • Cleveland, W.S.1    Devlin, S.J.2
  • 35
    • 84981426681 scopus 로고
    • Data augmentation and dynamic linear models
    • Frühwirth-Schnatter, S. (1994), “Data augmentation and dynamic linear models”, J. Time Series Anal., 183-202.
    • (1994) J. Time Series Anal , pp. 183-202
    • Frühwirth-Schnatter, S.1
  • 36
    • 0000924593 scopus 로고
    • Numerical methods for solving linear leastsquare problems
    • Golub, G. (1965), “Numerical methods for solving linear leastsquare problems”, Num. Math., 7, 206-216.
    • (1965) Num. Math , vol.7 , pp. 206-216
    • Golub, G.1
  • 37
    • 84950634092 scopus 로고
    • Density estimation and bump hunting by the penalized likelihood method exemplified by scattering and meteorite data
    • Good, L.J. and Gaskins, J.R. (1980), “Density estimation and bump hunting by the penalized likelihood method exemplified by scattering and meteorite data”, J. Amer. Statist. Assoc., 75, 42-73.
    • (1980) J. Amer. Statist. Assoc , vol.75 , pp. 42-73
    • Good, L.J.1    Gaskins, J.R.2
  • 38
    • 0027580559 scopus 로고
    • Novel approach to nonlinear/non-Gaussian Bayesian state estimation
    • Gordon, N.J., Salmond, D.J. and Smith, A.F.M. (1993), “Novel approach to nonlinear/non-Gaussian Bayesian state estimation,” IEE Proceedings-F, 140, 107-113.
    • (1993) IEE Proceedings-F , vol.140 , pp. 107-113
    • Gordon, N.J.1    Salmond, D.J.2    Smith, A.F.M.3
  • 41
    • 84984499602 scopus 로고
    • Forecasting time series with trading day variation
    • Hillmer, S.C. (1982), “Forecasting time series with trading day variation”, J. Forecasting, 1, 385-395.
    • (1982) J. Forecasting , vol.1 , pp. 385-395
    • Hillmer, S.C.1
  • 42
    • 0000250624 scopus 로고
    • The behavior of maximum likelihood estimates under nonstandard conditions
    • Huber, P.J. (1967), “The behavior of maximum likelihood estimates under nonstandard conditions”, in Proc.fifth Berkeley Symp. Statist., 221-233.
    • (1967) In Proc.Fifth Berkeley Symp. Statist , pp. 221-233
    • Huber, P.J.1
  • 45
    • 0027663764 scopus 로고
    • A time varying vector autoregressivemodeling of nonstationary time series
    • Jiang X.Q, and Kitagawa, G. (1993), “A time varying vector autoregressivemodeling of nonstationary time series”, Signal Processing, 33, 315-331.
    • (1993) Signal Processing , vol.33 , pp. 315-331
    • Jiang, X.Q.1    Kitagawa, G.2
  • 46
    • 0001353940 scopus 로고
    • Maximum likelihood fitting of ARIMA models to time series with missing observations
    • Jones, R.H. (1980), “Maximum likelihood fitting of ARIMA models to time series with missing observations”, Technometrics, 22, 389-395.
    • (1980) Technometrics , vol.22 , pp. 389-395
    • Jones, R.H.1
  • 48
    • 0015207267 scopus 로고
    • Discrete square root filtering: A survey of current technique
    • Kaminski, P.G., Bryson, A.E. and Schmidt, S.F. (1971), “Discrete square root filtering: A survey of current technique”, IEEE Trans. Auto. Control, AC-16, 727-735.
    • (1971) IEEE Trans. Auto. Control , vol.AC-16 , pp. 727-735
    • Kaminski, P.G.1    Bryson, A.E.2    Schmidt, S.F.3
  • 49
    • 0021097777 scopus 로고
    • Changing spectrum estimation
    • Kitagawa, G. (1983), “Changing spectrum estimation”, J. Sound and Vibration, 89(4), 443-445.
    • (1983) J. Sound and Vibration , vol.89 , Issue.4 , pp. 443-445
    • Kitagawa, G.1
  • 50
    • 84950459387 scopus 로고
    • Non-Gaussian state space modeling of nonstationary time series (With discussion)
    • Kitagawa, G. (1987), “Non-Gaussian state space modeling of nonstationary time series (with discussion)”, J. Amer. Statist. Assoc., 82, 1032-1063.
    • (1987) J. Amer. Statist. Assoc , vol.82 , pp. 1032-1063
    • Kitagawa, G.1
  • 52
    • 0001252008 scopus 로고
    • A nonlinear smoothing method for time series analysis
    • Kitagawa, G. (1991), “A nonlinear smoothing method for time series analysis”, Statistica Sinica, 1, 371-388.
    • (1991) Statistica Sinica , vol.1 , pp. 371-388
    • Kitagawa, G.1
  • 54
    • 0030304310 scopus 로고    scopus 로고
    • Monte Carlo filter and smoother for non- Gaussian nonlinear state space models
    • Kitagawa, G. (1996), “Monte Carlo filter and smoother for non- Gaussian nonlinear state space models”, J. Comp. Graph. Statist., 5, 1-25.
    • (1996) J. Comp. Graph. Statist , vol.5 , pp. 1-25
    • Kitagawa, G.1
  • 55
    • 0032347276 scopus 로고    scopus 로고
    • A self-organizing state-space model
    • Kitagawa, G., (1998), “A self-organizing state-space model”, J. Amer. Statist. Assoc., 93, 1203-1215.
    • (1998) J. Amer. Statist. Assoc , vol.93 , pp. 1203-1215
    • Kitagawa, G.1
  • 56
    • 51249186419 scopus 로고
    • A procedure for themodeling of nonstationary time series
    • Kitagawa, G. and Akaike, H. (1978), “A procedure for themodeling of nonstationary time series”, Ann. Inst. Statist. Math., 30-B, 215-363.
    • (1978) Ann. Inst. Statist. Math , vol.30-B , pp. 215-363
    • Kitagawa, G.1    Akaike, H.2
  • 57
    • 84950428388 scopus 로고
    • A smoothness priors-state space modeling of time series with trend and seasonality
    • Kitagawa, G. and Gersch, W. (1984), “A smoothness priors-state space modeling of time series with trend and seasonality”, J. Amer. Statist. Assoc., 79, 378-389.
    • (1984) J. Amer. Statist. Assoc , vol.79 , pp. 378-389
    • Kitagawa, G.1    Gersch, W.2
  • 58
    • 0021819423 scopus 로고
    • A smoothness priors time varying AR coefficient modeling of nonstationary time series
    • Kitagawa, G. and Gersch, W. (1985), “A smoothness priors time varying AR coefficient modeling of nonstationary time series”, IEEE Trans. on Automat. Control, AC-30, 48-56.
    • (1985) IEEE Trans. on Automat. Control , vol.AC-30 , pp. 48-56
    • Kitagawa, G.1    Gersch, W.2
  • 59
    • 0003789099 scopus 로고    scopus 로고
    • Smoothness Priors Analysis of Time Series
    • Springer, New York
    • Kitagawa, G. and Gersch, W. (1996), Smoothness Priors Analysis of Time Series, Lecture Notes in Statistics, 116, Springer, New York.
    • (1996) Lecture Notes in Statistics , pp. 116
    • Kitagawa, G.1    Gersch, W.2
  • 61
    • 77956890617 scopus 로고
    • Fast filtering for seasonalmoving average models
    • Kohn, R., andAnsley, C. F. (1986), “Fast filtering for seasonalmoving average models”, Biometrika, 73, 522-524.
    • (1986) Biometrika , vol.73 , pp. 522-524
    • Kohn, R.1    Ansley, C.F.2
  • 63
    • 0019006979 scopus 로고
    • The order determination problem for linear time-varying AR models
    • Kozin, F. and F. Nakajima (1980), “The order determination problem for linear time-varying AR models”, IEEE Trans. Automat. Control, AC-25, 250-257.
    • (1980) IEEE Trans. Automat. Control , vol.AC-25 , pp. 250-257
    • Kozin, F.1    Nakajima, F.2
  • 64
    • 0001927585 scopus 로고
    • On information and sufficiency
    • Kullback, S. and Leibler, R.A. (1951), “On information and sufficiency”, Ann. Math. Statist., 22, 79-86.
    • (1951) Ann. Math. Statist , vol.22 , pp. 79-86
    • Kullback, S.1    Leibler, R.A.2
  • 65
    • 0000413581 scopus 로고
    • TheWiener RMS error criterion in filter design and prediction
    • Levinson, N. (1947), “TheWiener RMS error criterion in filter design and prediction”, J. Math. Phys., 25, 261-278
    • (1947) J. Math. Phys , vol.25 , pp. 261-278
    • Levinson, N.1
  • 66
    • 84976805978 scopus 로고
    • Generalized feedback shift register psudorandom number algorithm
    • Lewis, T.G. and Payene, W.H. (1973), “Generalized feedback shift register psudorandom number algorithm”, Journal of ACM, 20, 456-468.
    • (1973) Journal of ACM , vol.20 , pp. 456-468
    • Lewis, T.G.1    Payene, W.H.2
  • 68
    • 0031599142 scopus 로고    scopus 로고
    • Mersenne twister: A 623-dimensionally equidistributed uniform pseudorandom number generator ACM Trans
    • Matsumoto, M. and Nishimura, T. (1998), “Mersenne twister: a 623-dimensionally equidistributed uniform pseudorandom number generator” ACM Trans. Modeling and Computer Simulation, 8, 3-30.
    • (1998) Modeling and Computer Simulation , vol.8 , pp. 3-30
    • Matsumoto, M.1    Nishimura, T.2
  • 69
    • 85056406134 scopus 로고
    • Introduction to Kalman filtering-A Bayesian view
    • Serra, A. and Barlow, R. E., eds
    • Meinhold, R. J., and Singpurwalla, N. D., (1989), “Introduction to Kalman filtering-A Bayesian view”, in Theory of Reliability, Serra, A. and Barlow, R. E., eds., 208-214.
    • (1989) Theory of Reliability , pp. 208-214
    • Meinhold, R.J.1    Singpurwalla, N.D.2
  • 71
    • 0003283891 scopus 로고
    • On the fitting of nonstationary autoregressive models in time series analysis
    • Ozaki, T. and Tong, H. (1975), “On the fitting of nonstationary autoregressive models in time series analysis”, in Proc. 8th Hawaii Intl. Conf. on System Sciences, 224-246.
    • (1975) Proc. 8Th Hawaii Intl. Conf. on System Sciences , pp. 224-246
    • Ozaki, T.1    Tong, H.2
  • 72
    • 0000110918 scopus 로고
    • A test for nonstationarity of time-series
    • Priestley, M.B. and Subba Rao, T. (1969), “A test for nonstationarity of time-series”, J. Royal Statist. Soc., B-31, 140-149.
    • (1969) J. Royal Statist. Soc , vol.B-31 , pp. 140-149
    • Priestley, M.B.1    Subba Rao, T.2
  • 73
    • 0002718318 scopus 로고
    • Approximate tests of correlation in time series
    • Quenouille, M.H. (1949), “Approximate tests of correlation in time series”, J. Royal Statist. Soc., B-11, 68-84.
    • (1949) J. Royal Statist. Soc , vol.B-11 , pp. 68-84
    • Quenouille, M.H.1
  • 76
    • 38249011766 scopus 로고
    • Integration-based Kalman-filtering for a dynamic generalized linear trend model
    • Schnatter, S. (1992), “Integration-based Kalman-filtering for a dynamic generalized linear trend model”, Comp. Statist. Data Analysis, 13, 447-459.
    • (1992) Comp. Statist. Data Analysis , vol.13 , pp. 447-459
    • Schnatter, S.1
  • 77
    • 85027186089 scopus 로고
    • Selection of the order of an autoregressive model by Akaikes information criterion”
    • Shibata, R. (1976), “Selection of the order of an autoregressive model by Akaike’s information criterion”, Biometrika, 63, 117-126.
    • (1976) Biometrika , vol.63 , pp. 117-126
    • Shibata, R.1
  • 80
    • 0000777281 scopus 로고
    • The fitting of non-stationary time-series models with time-dependent parameters
    • Subba Rao, T. (1970), “The fitting of non-stationary time-series models with time-dependent parameters”, J. Royal Statist. Soc., B-32, 312-322.
    • (1970) J. Royal Statist. Soc , vol.B-32 , pp. 312-322
    • Subba Rao, T.1
  • 81
    • 0007090143 scopus 로고
    • ISM data 43-3-01: Seismograms of foreshocks of 1982 Urakawa-Oki earthquake
    • Takanami, T. (1991), “ISM data 43-3-01: Seismograms of foreshocks of 1982 Urakawa-Oki earthquake”, Ann. Inst. Statist.Math., 43, 605.
    • (1991) Ann. Inst. Statist.Math , vol.43 , pp. 605
    • Takanami, T.1
  • 82
    • 0001163378 scopus 로고
    • Estimation of the arrival times of seismic waves by multivariate time series model
    • Takanami, T. and Kitagawa, G. (1991), “Estimation of the arrival times of seismic waves by multivariate time series model”, Ann. Inst. Statist. Math., 43, 407-433.
    • (1991) Ann. Inst. Statist. Math , vol.43 , pp. 407-433
    • Takanami, T.1    Kitagawa, G.2
  • 84
    • 84947382512 scopus 로고
    • Automatic smoothing of the log periodogram
    • Wahba, G. (1980), “Automatic smoothing of the log periodogram”, J. Amer. Statist. Assoc., 75, 122-132.
    • (1980) J. Amer. Statist. Assoc , vol.75 , pp. 122-132
    • Wahba, G.1
  • 85
    • 0000121801 scopus 로고
    • Robust sequential approximate Bayesian estimation
    • West, M. (1981), “Robust sequential approximate Bayesian estimation”, J. Royal Statist. Soc., B, 43, 157-166.
    • (1981) J. Royal Statist. Soc., B , vol.43 , pp. 157-166
    • West, M.1
  • 88
    • 0000856691 scopus 로고
    • On the fitting of multivariable autoregressions and the approximate canonical factorization of a spectral density matrix
    • Whittle, P. (1963), “On the fitting of multivariable autoregressions and the approximate canonical factorization of a spectral density matrix”, Biometrika, 50, 129-134.
    • (1963) Biometrika , vol.50 , pp. 129-134
    • Whittle, P.1
  • 89
    • 12444284376 scopus 로고
    • Recursive relations for predictors of nonstationary processes
    • Whittle, P. (1965), “Recursive relations for predictors of nonstationary processes”, J. Royal Statist. Soc., B 27, 523-532.
    • (1965) J. Royal Statist. Soc., B , vol.27 , pp. 523-532
    • Whittle, P.1


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