Results 11 to 20 of about 1,132,072 (314)
Local Sensitivity and Diagnostic Tests [PDF]
In this paper we confront sensitivity analysis with diagnostic testing.Every model is misspecified, but a model is useful if the parameters of interest (the focus) are not sensitive to small perturbations in the underlying assumptions. The study of the e
Magnus, J.R., Vasnev, A.L.
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Quantum circuit debugging and sensitivity analysis via local inversions [PDF]
As the width and depth of quantum circuits implemented by state-of-the-art quantum processors rapidly increase, circuit analysis and assessment via classical simulation are becoming unfeasible. It is crucial, therefore, to develop new methods to identify
Fernando A. Calderon-Vargas +3 more
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On Locality-Sensitive Orderings and Their Applications [PDF]
For any constant $d$ and parameter $\varepsilon > 0$, we show the existence of (roughly) $1/\varepsilon^d$ orderings on the unit cube $[0,1)^d$, such that any two points $p,q\in [0,1)^d$ that are close together under the Euclidean metric are "close together" in one of these linear orderings in the following sense: the only points that could lie ...
Timothy M. Chan +2 more
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Market segmentation is one of the key marketing activities to target the potential market for a product, which allows the firm to have a better understanding of their customers.
Pradeep Kumar +3 more
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A Review on Local Failure Probability Sensitivity Analysis
When assessing the reliability of a system, a mathematical model is often defined to replicate the system’s behavior. The inputs of the system are then gathered into two categories, random inputs and deterministic inputs.
Marie Chiron +2 more
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Antimicrobial stewardship programs (ASPs) have been suggested to reduce antimicrobial resistance phenomena in veterinary medicine, as antibiotics are commonly used without microbiological confirmation. The aim of the present study is to design a specific
Cristina Vercelli +4 more
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Local Sensitivity of Failure Probability through Polynomial Regression and Importance Sampling
Evaluating the failure probability of a system is essential in order to assess its reliability. This probability may significantly depend on deterministic parameters such as distribution parameters or design parameters.
Marie Chiron +2 more
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On the Distortion of Locality Sensitive Hashing [PDF]
Given a notion of pairwise similarity between objects, locality sensitive hashing (LSH) aims to construct a hash function family over the universe of objects such that the probability two objects hash to the same value is their similarity. LSH is a powerful algorithmic tool for largescale applications and much work has been done to understand LSHable ...
Chierichetti, Flavio +3 more
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Jellyfish: Locality-Sensitive Subflow Sketching [PDF]
To cope with increasing network rates and massive traffic volumes, sketch-based methods have been extensively studied to trade accuracy for memory scalability and storage cost. However, sketches are sensitive to hash collisions due to skewed keys in real world environment, and need complicated performance control for line-rate packet streams.We present
Fu, Yongquan +4 more
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In the process of parameter identification, sensitivity analysis is mainly used to determine key parameters with high sensitivity in the model. Sensitivity analysis methods include local sensitivity analysis (LSA) and global sensitivity analysis (GSA ...
Chuan Qin +4 more
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