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Lag windows are commonly used in time series, econometrics, steady-state simulation, and Markov chain Monte Carlo to estimate time-average covariance matrices.
Strong consistency of multivariate spectral variance estimators in Markov chain Monte Carlo
Vats, D., Flegal, J. M., and Jones, G. L. (2018) · 1909
Earlier work this paper cites.
On consistent estimates of the spectrum of a stationary time series
Parzen, E. (1957) · 1957
Earlier work this paper cites.
Multiple Time Series
Hannan, E. J. (1970) · 1970
Earlier work this paper cites.
The Statistical Analysis of Time Series
Anderson, T. W. (1971) · 1971
Earlier work this paper cites.
Independent and Stationary Sequences of Random Variables
Ibragimov, I. A. and Linnik, Y. V. (1971) · 1971
Earlier work this paper cites.
Almost sure invariance principles for partial sums of mixing B-valued random variables
Kuelbs, J. and Philipp, W. (1980) · 1980
Earlier work this paper cites.
A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity
White, H. (1980) · 1980
Earlier work this paper cites.
Spectral analysis and time series
Priestley, M. B. (1981) · 1981
Earlier work this paper cites.
Multivariate inference in stationary simulation using batch means
Chen, D.-F. R. and Seila, A. F. (1987) · 1987
Earlier work this paper cites.
A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix
Newey, W. K. and West, K. D. (1987) · 1987
Earlier work this paper cites.
On the expectation of the product of four matrix-valued Gaussian random variables
Janssen, P. H. M. and Stoica, P. (1988) · 1988
Earlier work this paper cites.
Non-linear time series and Markov chains
Tjøstheim, D. (1990) · 1990
Earlier work this paper cites.
Heteroskedasticity and autocorrelation consistent covariance matrix estimation
Andrews, D. W. (1991) · 1991
Earlier work this paper cites.
Estimating and interpreting the instantaneous frequency of a signal. II. algorithms and applications
Boashash, B. (1992) · 1992
Earlier work this paper cites.
Practical Markov chain Monte Carlo (with discussion)
Geyer, C. J. (1992) · 1992
Earlier work this paper cites.
The asymptotic validity of sequential stopping rules for stochastic simulations
Glynn, P. W. and Whitt, W. (1992) · 1992
Earlier work this paper cites.
The relative importance of bias and variability in the estimation of the variance of a statistic
Simonoff, J. S. (1993) · 1993
Earlier work this paper cites.
Mean-square consistency of the variance estimator in steady-state simulation output analysis
Damerdji, H. (1995) · 1995
Cited alongside, same era.
Bias-corrected nonparametric spectral estimation
Politis, D. N. and Romano, J. P. (1995) · 1995
Cited alongside, same era.
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Song, W. T. and Schmeiser, B. W. (1995) · 1995
Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Cited alongside, same era.
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Later among the works it cites.
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Later among the works it cites.
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Later among the works it cites.
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Later among the works it cites.
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Doss, C. R., Flegal, J. M., Jones, G. L., and Neath, R. C. (2014) · 2014
Later among the works it cites.
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A practitioner’s guide to robust covariance matrix estimation
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