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Advanced Search Results For "ESTIMATION bias"

1 - 10 of 3,498 results for
 "ESTIMATION bias"
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Parameter Identification with a New Recursive Framework for Wiener–Hammerstein-Like System and Its Application.

Publication Type:Academic Journal

Source(s):Mathematical Problems in Engineering. 6/8/2022, p1-14. 14p.

Abstract:In the process of actual system modeling, many systems exhibit nonlinear characteristics with memory. Thus, the parameter identification problem of the nonlinear system with memory usually appears in the system modeling. This report focuses on the nonl...

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How Food Shape Influences Calorie Content Estimation: The Biasing Estimation of Calories.

Publication Type:Academic Journal

Source(s):Journal of Food Quality. 5/24/2022, p1-11. 11p.

Abstract:Whether for improving health or keeping in shape, consumers are beginning to pay attention to calorie intake. However, although a growing number of studies have focused on the impact of food attributes on consumers, the sensory correspondence between f...

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Network Host Cardinality Estimation Based on Artificial Neural Network.

Publication Type:Academic Journal

Source(s):Security & Communication Networks. 3/24/2022, p1-14. 14p.

Abstract:Cardinality estimation plays an important role in network security. It is widely used in host cardinality calculation of high-speed network. However, the cardinality estimation algorithm itself is easy to be disturbed by random factors and produces est...

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Instance-Dependent Positive and Unlabeled Learning With Labeling Bias Estimation.

Publication Type:Academic Journal

Source(s):IEEE Transactions on Pattern Analysis & Machine Intelligence. Aug2022, Vol. 44 Issue 8, p4163-4177. 15p.

Abstract:This paper studies instance-dependent Positive and Unlabeled (PU) classification, where whether a positive example will be labeled (indicated by $s$ s ) is not only related to the class label $y$ y , but also depends on the observation $\mathbf {x}$ x ...

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Distributed Estimation of Time-Varying Biases in Relative State Measurements.

Publication Type:Periodical

Source(s):IEEE Transactions on Automatic Control. Aug2022, Vol. 67 Issue 8, p4278-4284. 7p.

Abstract:This article focuses on the distributed estimation of time-varying bias signals in relative state measurements of sensors, where each sensor measures the relative state of neighboring sensors and the measurements contain a time-varying bias signal that...

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A doubly corrected robust variance estimator for linear GMM.

Publication Type:Periodical

Source(s):Journal of Econometrics. Aug2022, Vol. 229 Issue 2, p276-298. 23p.

Abstract:We propose a new finite sample corrected variance estimator for the linear generalized method of moments (GMM) including the one-step, two-step, and iterated estimators. Our formula also corrects the over-identification bias in variance estimation on t...

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Estimating and backtesting risk under heavy tails.

Publication Type:Academic Journal

Source(s):Insurance: Mathematics & Economics. May2022, Vol. 104, p1-14. 14p.

Abstract:While the estimation of risk is an important question in the daily business of banking and insurance, many existing plug-in estimation procedures suffer from an unnecessary bias. This often leads to the underestimation of risk and negatively impacts ba...

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Model Selection and Model Averaging for Mixed-Effects Models with Crossed Random Effects for Subjects and Items.

Publication Type:Academic Journal

Source(s):Multivariate Behavioral Research. Jul/Aug2022, Vol. 57 Issue 4, p603-619. 17p.

Abstract:A good deal of experimental research is characterized by the presence of random effects on subjects and items. A standard modeling approach that includes such sources of variability is the mixed-effects models (MEMs) with crossed random effects. Howeve...

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Frontiers: The Identity Fragmentation Bias.

Publication Type:Academic Journal

Source(s):Marketing Science. May/Jun2022, Vol. 41 Issue 3, p433-440. 8p. 1 Chart.

Abstract:The Identity Fragmentation Bias Consumers interact with firms across multiple devices, browsers, and machines; these interactions are often recorded with different identifiers for the same consumer. The failure to correctly match different identities l...

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Bias-optimal vol-of-vol estimation: the role of window overlapping.

Publication Type:Academic Journal

Source(s):Decisions in Economics & Finance. Jun2022, Vol. 45 Issue 1, p137-185. 49p.

Abstract:The simplest and most natural vol-of-vol estimator, the pre-estimated spot variance-based realized variance, is typically plagued by a large finite-sample bias. In this paper, we analytically show that allowing for the overlap of consecutive local wind...

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