Decision support via multirate spectrum estimation
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[1] Corinne Le Quéré,et al. Climate Change 2013: The Physical Science Basis , 2013 .
[2] Eric Ghysels,et al. Simple Granger Causality Tests for Mixed Frequency Data , 2016 .
[3] G. Nason,et al. Supplementary Material for "Should we sample a time series more frequently? Decision support via multirate spectrum estimation (with discussion)" , 2016, 1604.06716.
[4] Antonello D’Agostino,et al. Combining Time-Variation and Mixed-Frequencies: An Analysis of Government Spending Multipliers in Italy , 2015, SSRN Electronic Journal.
[5] Andrew T. Foerster,et al. Bayesian Mixed Frequency VARs , 2015 .
[6] M. I. Ortego,et al. Bayesian trend analysis of extreme wind using observed and hindcast series off the Catalan coast, NW Mediterranean Sea , 2014 .
[7] Massimiliano Marcellino,et al. Markov-Switching Mixed-Frequency VAR Models , 2014 .
[8] Eric Ghysels,et al. Mixed-Frequency Vector Autoregressive Models ☆ ☆This views expressed herein are solely those of the authors and do not necessarily reflect the views of the Norges Bank. The usual disclaimers apply. , 2013 .
[9] Frank Schorfheide,et al. Real-Time Forecasting With a Mixed-Frequency VAR , 2013 .
[10] Eric Ghysels,et al. Testing for Granger Causality with Mixed Frequency Data , 2013 .
[11] P. Brockwell,et al. Time Series: Theory and Methods , 2013 .
[12] Massimiliano Marcellino,et al. A Survey of Econometric Methods for Mixed-Frequency Data , 2013 .
[13] Neil J. Holbrook,et al. A Bayesian Forecast Model of Australian Region Tropical Cyclone Formation , 2011 .
[14] Eric Ghysels,et al. Forecasting with mixed-frequency data , 2011 .
[15] Michael T. Owyang,et al. Forecasting with Mixed Frequencies , 2010 .
[16] Judith Rousseau,et al. Bayesian nonparametric estimation of the spectral density of a long or intermediate memory Gaussian process , 2010, 1007.3823.
[17] Tony Crook,et al. Development of construction statistics , 2010 .
[18] Michael P. Clements,et al. Macroeconomic Forecasting With Mixed-Frequency Data , 2008 .
[19] David Wooff,et al. Bayes Linear Statistics , 2007 .
[20] Piet M. T. Broersen,et al. Automatic Autocorrelation and Spectral Analysis , 2006 .
[21] Piet M. T. Broersen,et al. Time-series analysis if data are randomly missing , 2006, IEEE Transactions on Instrumentation and Measurement.
[22] S. Ghosal,et al. Bayesian Estimation of the Spectral Density of a Time Series , 2004 .
[23] Jian Li,et al. Nonparametric spectral analysis with missing data via the EM algorithm , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..
[24] E. Ghysels,et al. Série Scientifique Scientific Series Predicting Volatility: Getting the Most out of Return Data Sampled at Different Frequencies , 2022 .
[25] Bani K. Mallick,et al. A Bayesian Curve Fitting Approach to Power Spectrum Estimation , 2002 .
[26] F. Pukelsheim. The Three Sigma Rule , 1994 .
[27] P. A. Blight. The Analysis of Time Series: An Introduction , 1991 .
[28] J. Scargle. Studies in astronomical time series analysis. II - Statistical aspects of spectral analysis of unevenly spaced data , 1982 .
[29] G. Wahba. Automatic Smoothing of the Log Periodogram , 1980 .
[30] D.P. Skinner,et al. The cepstrum: A guide to processing , 1977, Proceedings of the IEEE.
[31] Richard H. Jones,et al. Estimation of the Innovation Generalized Variance of a Multivariate Stationary Time Series , 1976 .
[32] N. Lomb. Least-squares frequency analysis of unequally spaced data , 1976 .
[33] P. Vaníček. Further development and properties of the spectral analysis by least-squares , 1971 .
[34] G. Marsaglia. Ratios of Normal Variables and Ratios of Sums of Uniform Variables , 1965 .
[35] Robert H. Shumway,et al. Time series analysis and its applications : with R examples , 2017 .
[36] Klemens Hauzenberger,et al. Time-Varying Mixed-Frequency Vector Autoregressive Models * , 2015 .
[37] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[38] Xiao-Li Meng,et al. Challenges and Advances in High Dimensional and High Complexity Monte Carlo Computation and Theory , 2012 .
[39] P. Green,et al. Reversible jump MCMC , 2009 .
[40] B. Werner,et al. Reflections on fifteen years of change in using the Labour Force Survey , 2006 .
[41] Brani Vidakovic,et al. Bayesian Decision Theoretic Scale-Adaptive Estimation of a Log-Spectral Density , 2003 .
[42] 農林水産奨励会農林水産政策情報センター,et al. The green book : appraisal and evaluation in central government , 2003 .
[43] David G Steel,et al. Producing Monthly Estimates of Unemployment and Employment According to the International Labour Office Definition , 1997 .
[44] G. Wahba. Data-Based Optimal Smoothing of Orthogonal Series Density Estimates , 1981 .
[45] P. Whittle. Curve and Periodogram Smoothing , 1957 .