Robust forecasting of mortality and fertility rates: A functional data approach
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[1] W. Bell,et al. Using principal components in time series modeling and forecasting of age-specific mortality rates. , 1991 .
[2] J HyndmanRob,et al. Robust forecasting of mortality and fertility rates , 2007 .
[3] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[4] Ana M. Aguilera,et al. Forecasting PC-ARIMA Models for Functional Data , 2002, COMPSTAT.
[5] Elaine B. Martin,et al. On principal component analysis in L 1 , 2002 .
[6] Pin T. Ng,et al. COBS: qualitatively constrained smoothing via linear programming , 1999, Comput. Stat..
[7] R. Lee,et al. Modeling and forecasting U.S. sex differentials in mortality. , 1992, International journal of forecasting.
[8] I. Jolliffe. Principal Component Analysis , 2002 .
[9] D. G. Simpson,et al. Robust principal component analysis for functional data , 2007 .
[10] J. Simonoff. Smoothing Methods in Statistics , 1998 .
[11] E. Ziegel,et al. Proceedings in Computational Statistics , 1998 .
[12] Heather Booth,et al. Evaluation of the Variants of the Lee-Carter Method of Forecasting Mortality: A Multi-Country Comparison , 2004 .
[13] James O. Ramsay,et al. Functional Data Analysis , 2005 .
[14] Christophe Croux,et al. A Fast Algorithm for Robust Principal Components Based on Projection Pursuit , 1996 .
[15] Christophe Croux,et al. High breakdown estimators for principal components: the projection-pursuit approach revisited , 2005 .
[16] PIET DE JONG,et al. Extending Lee–Carter Mortality Forecasting , 2006 .
[17] Paul H. C. Eilers,et al. Smoothing and forecasting mortality rates , 2004 .
[18] R. Lee,et al. Disaggregation in population forecasting: do we need it? And how to do it simply. , 1995, Mathematical population studies.
[19] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1972 .
[20] Steven Haberman,et al. Lee-Carter mortality forecasting: a parallel generalized linear modelling approach for England and Wales mortality projections , 2003 .
[21] Vladimir M. Shkolnikov,et al. Methods Protocol for the Human Mortality Database , 2002 .
[22] Rob J Hyndman,et al. Forecasting age‐specific breast cancer mortality using functional data models , 2007, Statistics in medicine.
[23] B. Silverman,et al. Smoothed functional principal components analysis by choice of norm , 1996 .
[24] Leonie Tickle,et al. Extending the Lee-Carter methodology of mortality projection , 2004 .
[25] Frédéric Ferraty,et al. Nonparametric models for functional data, with application in regression, time series prediction and curve discrimination , 2004 .
[26] W. Bell,et al. FORECASTING AGE SPECIFIC FERTILITY USING PRINCIPAL COMPONENTS , 1987 .
[27] Andrew Harvey,et al. Forecasting, Structural Time Series Models and the Kalman Filter , 1990 .
[28] Wai-Sum Chan,et al. Outlier analysis and mortality forecasting: The United Kingdom and Scandinavian countries , 2005 .
[29] J. Ramsay,et al. Some Tools for Functional Data Analysis , 1991 .
[30] C. Croux,et al. Generalizing univariate signed rank statistics for testing and estimating a multivariate location parameter , 1995 .
[31] Ronald Lee,et al. Modeling and forecasting U. S. mortality , 1992 .
[32] R. Lee,et al. Modeling and forecasting the time series of US fertility: age distribution, range, and ultimate level. , 1993, International journal of forecasting.
[33] Rob J Hyndman,et al. Prediction Intervals for Exponential Smoothing State Space Models , 2001 .
[34] Rob J. Hyndman,et al. Lee-Carter mortality forecasting: a multi-country comparison of variants and extensions , 2006 .
[35] Rob J Hyndman,et al. A state space framework for automatic forecasting using exponential smoothing methods , 2002 .
[36] S. Wood. Thin plate regression splines , 2003 .
[37] J. Dauxois,et al. Asymptotic theory for the principal component analysis of a vector random function: Some applications to statistical inference , 1982 .
[38] Guoying Li,et al. Projection-Pursuit Approach to Robust Dispersion Matrices and Principal Components: Primary Theory and Monte Carlo , 1985 .
[39] Lon-Mu Liu,et al. Joint Estimation of Model Parameters and Outlier Effects in Time Series , 1993 .
[40] B. Ripley,et al. Semiparametric Regression: Preface , 2003 .
[41] M. Hubert,et al. A fast method for robust principal components with applications to chemometrics , 2002 .
[42] Richard A. Davis,et al. Time Series: Theory and Methods , 2013 .
[43] J. Maindonald,et al. Applying Lee-Carter under conditions of variable mortality decline , 2002, Population studies.
[44] Simon N. Wood,et al. Monotonic Smoothing Splines Fitted by Cross Validation , 1994, SIAM J. Sci. Comput..