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Volumn 85, Issue 2, 2015, Pages 357-373

On count time series prediction

Author keywords

calibration; prediction; probability integral transformation plot; quasi likelihood; scoring rules; sharpness

Indexed keywords


EID: 84926226503     PISSN: 00949655     EISSN: 15635163     Source Type: Journal    
DOI: 10.1080/00949655.2013.823612     Document Type: Article
Times cited : (27)

References (24)
  • 1
    • 70450231574 scopus 로고    scopus 로고
    • Predictive model assessment for count data
    • Czado C, Gneiting T, Held L. Predictive model assessment for count data. Biometrics. 2009;65:1254–1261. doi: 10.1111/j.1541-0420.2009.01191.x
    • (2009) Biometrics , vol.65 , pp. 1254-1261
    • Czado, C.1    Gneiting, T.2    Held, L.3
  • 2
    • 0000582742 scopus 로고
    • Statistical theory: the prequential approach
    • Dawid AP. Statistical theory: the prequential approach. J R Stat Soc Ser A. 1984;147:278–292. doi: 10.2307/2981683
    • (1984) J R Stat Soc Ser A , vol.147 , pp. 278-292
    • Dawid, A.P.1
  • 4
    • 79951951412 scopus 로고    scopus 로고
    • Useful models for time series of counts or simply wrong ones?
    • Jung R, Tremayne A. Useful models for time series of counts or simply wrong ones? AStA Adv Stat Anal. 2011;95: 59–91. doi: 10.1007/s10182-010-0139-9
    • (2011) AStA Adv Stat Anal , vol.95 , pp. 59-91
    • Jung, R.1    Tremayne, A.2
  • 7
    • 84988052086 scopus 로고
    • Negative binomial and mixed Poisson regression
    • Lawless JF. Negative binomial and mixed Poisson regression. Can J Stat. 1987;15:209–225. doi: 10.2307/3314912
    • (1987) Can J Stat , vol.15 , pp. 209-225
    • Lawless, J.F.1
  • 9
    • 78650045133 scopus 로고    scopus 로고
    • A negative binomial integer-valued GARCH model
    • Zhu F. A negative binomial integer-valued GARCH model. J Time Series Anal. 2011;32:54–67. doi: 10.1111/j.1467-9892.2010.00684.x
    • (2011) J Time Series Anal , vol.32 , pp. 54-67
    • Zhu, F.1
  • 10
    • 33745955479 scopus 로고    scopus 로고
    • Integer-valued GARCH processes
    • Ferland R, Latour A, Oraichi D. Integer-valued GARCH processes. J Time Series Anal. 2006;27:923–942. doi: 10.1111/j.1467-9892.2006.00496.x
    • (2006) J Time Series Anal , vol.27 , pp. 923-942
    • Ferland, R.1    Latour, A.2    Oraichi, D.3
  • 11
    • 81455142032 scopus 로고    scopus 로고
    • Absolute regularity and ergodicity of Poisson count processes
    • Neumann M. Absolute regularity and ergodicity of Poisson count processes. Bernoulli. 2011;17:1268–1284. doi: 10.3150/10-BEJ313
    • (2011) Bernoulli , vol.17 , pp. 1268-1284
    • Neumann, M.1
  • 12
    • 84857279824 scopus 로고    scopus 로고
    • On weak dependence conditions for Poisson autoregressions
    • Doukhan P, Fokianos K, Tjøstheim D. On weak dependence conditions for Poisson autoregressions. Stat Probab Lett. 2012;82:942–948. doi: 10.1016/j.spl.2012.01.015
    • (2012) Stat Probab Lett , vol.82 , pp. 942-948
    • Doukhan, P.1    Fokianos, K.2    Tjøstheim, D.3
  • 14
    • 72549083674 scopus 로고    scopus 로고
    • Specification testing in nonlinear and nonstationary time series regression
    • Gao J, King M, Lu Z, Tjøstheim D. Specification testing in nonlinear and nonstationary time series regression. Ann Stat. 2009;37:3893–3928. doi: 10.1214/09-AOS698
    • (2009) Ann Stat , vol.37 , pp. 3893-3928
    • Gao, J.1    King, M.2    Lu, Z.3    Tjøstheim, D.4
  • 15
    • 84884925757 scopus 로고    scopus 로고
    • A goodness-of-fit test for Poisson count processes
    • Fokianos K, Neumann MH. A goodness-of-fit test for Poisson count processes. Electron J Stat. 2013;7:793–819. doi: 10.1214/13-EJS790
    • (2013) Electron J Stat , vol.7 , pp. 793-819
    • Fokianos, K.1    Neumann, M.H.2
  • 16
    • 1842441339 scopus 로고    scopus 로고
    • GARCH processes: structure and estimation
    • Berkes I, Horváth L, Kokoszka P. GARCH processes: structure and estimation. Bernoulli. 2003;9:201–227. doi: 10.3150/bj/1068128975
    • (2003) Bernoulli , vol.9 , pp. 201-227
    • Berkes, I.1    Horváth, L.2    Kokoszka, P.3
  • 17
    • 33645008897 scopus 로고    scopus 로고
    • Maximum likelihood estimation of pure GARCH and ARMA-GARCH processes
    • Francq C, Zakoıan J-M. Maximum likelihood estimation of pure GARCH and ARMA-GARCH processes. Bernoulli. 2004;10:605–637. doi: 10.3150/bj/1093265632
    • (2004) Bernoulli , vol.10 , pp. 605-637
    • Francq, C.1    Zakoıan, J.-M.2
  • 18
    • 33846143734 scopus 로고    scopus 로고
    • Quasi-maximum-likelihood estimation in conditionally heteroscedastic time series: a stochastic recurrence equations approach
    • Mikosch T, Straumann D. Quasi-maximum-likelihood estimation in conditionally heteroscedastic time series: a stochastic recurrence equations approach. Ann Stat. 2006;34:2449–2495. doi: 10.1214/009053605000000840
    • (2006) Ann Stat , vol.34 , pp. 2449-2495
    • Mikosch, T.1    Straumann, D.2
  • 19
    • 69049093888 scopus 로고    scopus 로고
    • Asymptotic normality of the quasi-maximum likelihood estimator for multidimensional causal processes
    • Bardet J-M, Wintenberger O. Asymptotic normality of the quasi-maximum likelihood estimator for multidimensional causal processes. Ann Stat. 2010;37:2730–2759. doi: 10.1214/08-AOS674
    • (2010) Ann Stat , vol.37 , pp. 2730-2759
    • Bardet, J.-M.1    Wintenberger, O.2
  • 20
    • 0022673130 scopus 로고
    • Longitudinal data analysis for discrete and continuous outcomes
    • Zeger SL, Liang K-Y. Longitudinal data analysis for discrete and continuous outcomes. Biometrics. 1986;42: 121–130. doi: 10.2307/2531248
    • (1986) Biometrics , vol.42 , pp. 121-130
    • Zeger, S.L.1    Liang, K.-Y.2
  • 21
    • 0000390402 scopus 로고
    • Quasi-likelihood and optimal estimation
    • Godambe VP, Heyde CC. Quasi-likelihood and optimal estimation. Int Stat Rev. 1987;55:231–244. doi: 10.2307/1403403
    • (1987) Int Stat Rev , vol.55 , pp. 231-244
    • Godambe, V.P.1    Heyde, C.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.