Smoothing methods for histogram‐valued time series: an application to value‐at‐risk
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Antonio Muñoz San Roque | Gloria González-Rivera | Javier Arroyo | Carlos Maté | A. Roque | J. Arroyo | C. Maté | G. González-Rivera
[1] B. G. Quinn,et al. The determination of the order of an autoregression , 1979 .
[2] Jacob Boudoukh,et al. The Best of Both Worlds: A Hybrid Approach to Calculating Value at Risk , 1997 .
[3] S. Rachev. The Monge–Kantorovich Mass Transference Problem and Its Stochastic Applications , 1985 .
[4] Peter J. Bickel,et al. The Earth Mover's distance is the Mallows distance: some insights from statistics , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[5] Yoav Benjamini,et al. Opening the Box of a Boxplot , 1988 .
[6] Edwin Diday,et al. Symbolic Data Analysis: Conceptual Statistics and Data Mining (Wiley Series in Computational Statistics) , 2007 .
[7] Javier Arroyo,et al. Time series modeling of histogram-valued data: The daily histogram time series of S&P500 intradaily returns , 2012 .
[8] Leonidas J. Guibas,et al. The Earth Mover's Distance as a Metric for Image Retrieval , 2000, International Journal of Computer Vision.
[9] Antonio Irpino,et al. Dynamic Clustering of Histogram Data: Using the Right Metric , 2007 .
[10] Kerry Patterson,et al. Palgrave Handbook of Econometrics , 2009 .
[11] T. Bollerslev,et al. Intraday periodicity, long memory volatility, and macroeconomic announcement effects in the US Treasury bond market , 2000 .
[12] Javier Arroyo,et al. Forecasting with Interval and Histogram Data. Some Financial Applications , 2011 .
[13] Julie Delon. Midway Image Equalization , 2004, Journal of Mathematical Imaging and Vision.
[14] P. Nagabhushan,et al. Histogram PCA , 2007, ISNN.
[15] Javier Arroyo Gallardo,et al. Forecasting histogram time series with k-nearest neighbours methods , 2009 .
[16] Antonio Irpino,et al. A New Wasserstein Based Distance for the Hierarchical Clustering of Histogram Symbolic Data , 2006, Data Science and Classification.
[17] F. Diebold,et al. Comparing Predictive Accuracy , 1994, Business Cycles.
[18] Tae-Hwy Lee,et al. Forecasting volatility: A reality check based on option pricing, utility function, value-at-risk, and predictive likelihood , 2004 .
[19] Helmut Lütkepohl. Vector autoregressive models , 2011 .
[20] John W. Tukey,et al. Exploratory Data Analysis. , 1979 .
[21] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[22] L. Billard,et al. From the Statistics of Data to the Statistics of Knowledge , 2003 .
[23] A. McNeil,et al. Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach , 2000 .
[24] A. G. Colombo,et al. A Powerful Numerical Method to Combine Random Variables , 1980, IEEE Transactions on Reliability.
[25] H. Akaike. A new look at the statistical model identification , 1974 .
[26] Kerry Patterson,et al. Palgrave handbook of econometrics. Volume 1. Econometric theory , 2009 .
[27] Weiye Li,et al. Computer arithmetic for probability distribution variables , 2004, Reliab. Eng. Syst. Saf..
[28] Edwin Diday,et al. Generalization of the Principal Components Analysis to Histogram Data , 2000 .
[29] Daniel Berleant,et al. Representation and Problem Solving with the Distribution Envelope Determination ( DEnv ) Method , 2003 .
[30] C. Granger. Investigating causal relations by econometric models and cross-spectral methods , 1969 .
[31] Daniel Berleant,et al. Representation and problem solving with Distribution Envelope Determination (DEnv) , 2004, Reliab. Eng. Syst. Saf..