Noise and Estimators
Robust Time-Varying Kalman State Estimators with Uncertain Noise Variances
... Kalman estimators (filter, predictor and smoother) for the time-varying system with uncertain noise ...Kalman estimators are ...Kalman estimators are also presented for the time-invariant ...
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Distributed MAP Estimators for Noise Reduction in Fully Connected Wireless Acoustic Sensor Networks
... Several noise reduction algorithms have been proposed for wireless acoustic sensor networks, which consist of spa- tially distributed nodes that are connected via a wireless ...the noise reduction ...
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Multivariate realised kernels: consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading
... of noise on univariate estimators of [Y ](1) by, amongst others, Zhou (1996), Andersen, Bollerslev, Diebold & Labys (2000), Bandi & Russell (2008), Zhang, Mykland & A¨ıt-Sahalia (2005), Bandi ...
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Multivariate Realised Kernels: Consistent Positive Semi-Definite Estimators of the Covariation of Equity Prices with Noise and Non-Synchronous Trading
... of noise on univariate estimators of [Y ](1) by, amongst others, Zhou (1996), Andersen, Bollerslev, Diebold & Labys (2000), Bandi & Russell (2008), Zhang, Mykland & A¨ıt-Sahalia (2005), Bandi ...
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Doppler Frequency Estimators under Additive and Multiplicative Noise
... 7.2 Intralipid Flow Phantom We used Intralipid-10% 12 and a syringe pump with 0.58 mm diameter tubing. Intralipid globules have an average diameter of 100 nm. The pipe was placed at a 16 degree incline, so that there was ...
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Regular and Modified Kernel-Based Estimators of Integrated Variance: The Case with Independent Noise
... kernel-based estimators of the integrated variance in the presence of market microstructure ...the noise is without memory and independent of the efficient price, an assumption which is empirically ...
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Bridge homogeneous volatility estimators
... volatility estimators based on the full tick-by-tick time ...microstructure noise and microstructure effect (see for instance, Zhang et ...microstructure noise leads to the divergence of the realized ...
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Cluster-Seeking Shrinkage Estimators
... The noise vector is assumed to be ...Such estimators also dominate the ML-estimator, but the risk reduction is significant only when θ lies close to the ...design estimators that give significant ...
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Adaptive warped kernel estimators
... kernel estimators (subplot (b)), least-squares estimator in piecewise polynomial bases with degree at most 1 (subplot (c)) or 2 (subplot ...the noise distribution: contrary to the underlying design ...
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On misspecifications in regularity and properties of estimators
... Abstract: The problem of parameter estimation by the continuous time observations of a deterministic signal in white Gaussian noise is consid- ered.. The asymptotic properties of the max[r] ...
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Multicollinearity and maximum entropy estimators
... (1980, p. 472) wrote: “Ridge regression was originally suggested as a procedure for investigating the sensitivity of least-squares estimates based on data exhibiting near- extreme multicollinearity, where small ...
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Algorithms and Estimators for
... IMC’07, October 24-26, 2007, San Diego, California, USA. Copyright 2007 ACM 978-1-59593-908-1/07/0010 ... $ 5.00. 1. INTRODUCTION Collection and summarization of network traffic data is neces- sary for many applications ...
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MSE performance of the weighted average estimators consisting of shrinkage estimators
... The parameter values used in the numerical evaluations were k = 3, 4, 5, 8, 10, n = 20, 30, 50, and λ = various values. The numerical evaluations were executed on a personal computer, using the FORTRAN code. In ...
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Accuracy of demand estimators
... The sine curve oscillates around a zero mean and hence produces autocorrelated disturbances... There were 25 observations in all cases.[r] ...
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Maximum Likelihood Estimators.
... First, we use Matlab fitting tool to fit weight and waist girth of men and women separately with lognormal distribution, see figure 2.2 a and b.. Wikipedia article about normal dis tributi[r] ...
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Voting rules as statistical estimators
... Third, the statistical rationalization approach begins with a familiar voting rule, and then contrives some probabilistic scenario to rationalize it as a statistical estimator ex post facto. But this is backwards. One ...
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Maximum Score Type Estimators
... consistent estimators of the model ...semiparametric estimators, which rely on very weak assumptions about the data, es- pecially about the error term, but assume certain functional form of the dependency ...
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Averaged Instrumental Variables Estimators
... can be overlapped. This paper, though it provides some empirical guidance, does not fully answer to the following question: how to choose the size of sub-instrument set and the optimal weight for averaging ...
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Moments of IV and JIVE estimators
... the density nor the Jacobian depends on this angle, the integral with respect to it is just 2π. Expression (22) can certainly be simplified, but that is not necessary for our conclusion regarding the existence of ...
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MAP estimators and 4D-VAR
... I If a numerical method does not make sense for the limiting, infinite dimensional object, the method may be ill-behaved for.. high-dimensional systems.[r] ...
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