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A REVIEW ON TEMPORAL LAG CORRELATIONS IN GRBs

by M Hafizi , S Boç I , 2010
"... Abstract. Gamma ray bursts (GRBs) are high energy photons detected during a short interval of time, they are signs of the most energetic events in the universe. This work is devoted to temporal lags, which reveal to be important parameters correlated to GRBs spectrum and luminosity. We perform a th ..."
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Abstract. Gamma ray bursts (GRBs) are high energy photons detected during a short interval of time, they are signs of the most energetic events in the universe. This work is devoted to temporal lags, which reveal to be important parameters correlated to GRBs spectrum and luminosity. We perform a

Lag correlation analysis based on Boolean presentation over multiple data streams

by Dejun Yue, Tiancheng Zhang, Ge Yu, Yu Gu
"... Correlation analysis is a basic problem in the field of data stream mining. In this paper we propose a new method based on Boolean representation for lag correlation analysis among multiple data streams. The raw stream sequence is transformed into the Boolean sequence, and the lags in any correlatio ..."
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Correlation analysis is a basic problem in the field of data stream mining. In this paper we propose a new method based on Boolean representation for lag correlation analysis among multiple data streams. The raw stream sequence is transformed into the Boolean sequence, and the lags in any

A 6–12 GHz Analogue Lag-Correlator for Radio Interferometry

by Christian M. Holler, Tak Kaneko, Michael E. Jones, Keith Grainge, Paul Scott , 2006
"... Aims. We describe a 6–12 GHz analogue correlator that has been developed for use in radio interferometers. Methods. We use a lag-correlator technique to synthesis eight complex spectral channels. Two schemes were considered for sampling the cross-correlation function, using either real or complex co ..."
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Aims. We describe a 6–12 GHz analogue correlator that has been developed for use in radio interferometers. Methods. We use a lag-correlator technique to synthesis eight complex spectral channels. Two schemes were considered for sampling the cross-correlation function, using either real or complex

AutoLag: Automatic discovery of lag correlations in stream data

by Yasushi Sakurai - In ICDE , 2005
"... Data streams appear in multiple settings, such as environmental, medical and socioeconomic systems. There are many, fascinating research problems in such settings, like clustering [1], summarization [3], and forecasting [2]. ..."
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Data streams appear in multiple settings, such as environmental, medical and socioeconomic systems. There are many, fascinating research problems in such settings, like clustering [1], summarization [3], and forecasting [2].

Investor psychology and security market under- and overreactions

by Kent Daniel, David Hirshleifer - Journal of Finance , 1998
"... We propose a theory of securities market under- and overreactions based on two well-known psychological biases: investor overconfidence about the precision of private information; and biased self-attribution, which causes asymmetric shifts in investors ’ confidence as a function of their investment ..."
Abstract - Cited by 698 (43 self) - Add to MetaCart
outcomes. We show that overconfidence implies negative long-lag autocorrelations, excess volatility, and, when managerial actions are correlated with stock mispricing, public-event-based return predictability. Biased self-attribution adds positive short-lag autocorrela-tions ~“momentum”!, short

A Long-Memory Property of Stock Market Returns and a New Model

by Zhuanxin Ding, Clive W. J. Granger, Robert F. Engle - Journal of Empirical Finance , 1993
"... A ‘long memory ’ property of stock market returns is investigated in this paper. It is found that not only there is substantially more correlation between absolute returns than returns them-selves, but the power transformation of the absolute return lrfl ” also has quite high autocorrel-ation for lo ..."
Abstract - Cited by 631 (18 self) - Add to MetaCart
A ‘long memory ’ property of stock market returns is investigated in this paper. It is found that not only there is substantially more correlation between absolute returns than returns them-selves, but the power transformation of the absolute return lrfl ” also has quite high autocorrel-ation

Predictive regressions

by Robert F. Stambaugh - Journal of Financial Economics , 1999
"... When a rate of return is regressed on a lagged stochastic regressor, such as a dividend yield, the regression disturbance is correlated with the regressor's innovation. The OLS estimator's "nite-sample properties, derived here, can depart substantially from the standard regression set ..."
Abstract - Cited by 466 (20 self) - Add to MetaCart
When a rate of return is regressed on a lagged stochastic regressor, such as a dividend yield, the regression disturbance is correlated with the regressor's innovation. The OLS estimator's "nite-sample properties, derived here, can depart substantially from the standard regression

A 2–20 GHz Analog Lag-Correlator for Radio Interferometry

by C. M. Holler, M. E. Jones, A. C. Taylor, A. I. Harris Member, S. A. Maas Fellow
"... ar ..."
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A Dynamic Time-Lagged Correlation based Method to Learn Multi-Time Delay Gene Networks

by Ankit Agrawal, Ankush Mittal
"... Abstract—A gene network gives the knowledge of the regulatory relationships among the genes. Each gene has its activators and inhibitors that regulate its expression positively and negatively respectively. Genes themselves are believed to act as activators and inhibitors of other genes. They can eve ..."
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Correlation Based Method (DTCBM) to learn the gene networks, which uses time-lagged correlation to find the potential gene interactions, and then uses a post-processing stage to remove false gene interactions to common parents, and finally uses dynamic correlation thresholds for each gene to construct

A wideband lag correlator for heterodyne spectroscopy of broad astronomical and atmospheric spectral lines

by A I Harris , J Zmuidzinas - Rev. Sci. Inst , 2001
"... WASP2 is a lag correlation spectrometer that is optimized for astronomical heterodyne observations of spectral lines from mid-infrared through centimeter wavelengths. Since the instrument is a wideband microwave spectrum analyzer, its basic technology is well suited to radio astronomy, atmospheric ..."
Abstract - Cited by 14 (6 self) - Add to MetaCart
WASP2 is a lag correlation spectrometer that is optimized for astronomical heterodyne observations of spectral lines from mid-infrared through centimeter wavelengths. Since the instrument is a wideband microwave spectrum analyzer, its basic technology is well suited to radio astronomy, atmospheric
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