Results 21 to 30 of about 1,932,383 (293)
A View of Information-Estimation Relations in Gaussian Networks
Entropy, 2017 Relations between estimation and information measures have received considerable attention from the information theory community. One of the most notable such relationships is the I-MMSE identity of Guo, Shamai and Verdú that connects the mutual ...
Alex Dytso +3 more
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IET Radar, Sonar & Navigation, 2021 The false alarm of a fault detection module in aircraft will interfere with flight. If there is a time‐offset between the inertial navigation system (INS) and air data system (ADS), the probability of a false alarm (PFA) of the fault detection module ...
Zhenwei Li +3 more
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Retrieval of unknown sinusoidal signals through the measurement of chaotic signals
The Journal of Engineering, 2014 Chaotic dynamical systems are extremely sensitive to initial conditions and their behaviour is unpredictable. On the other hand, in regulation theory, an exosystem is available when it is known; however, if it is unknown, it should be estimated with any ...
Guillermo Obregón-Pulido +3 more
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IET Wireless Sensor Systems, 2023 Localization is one of the essential problems in wireless sensor applications (WSNs). Most range‐free localization schemes for mobile WSNs are based on the Sequential Monte Carlo (SMC) algorithm. Multiple iterations, sample impoverishment and less sample
Chunfeng Lv, Jianping Zhu, Gang Chen
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Probabilistic Reachability Analysis for Large Scale Stochastic Hybrid Systems [PDF]
, 2007 This paper studies probabilistic reachability analysis for large scale stochastic hybrid systems (SHS) as a problem of rare event estimation. In literature, advanced rare event estimation theory has recently been embedded within a stochastic analysis ...
Bakker, G.J., Blom, H.A.P., Krystul, J.
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, 2022 AbstractThis chapter is on classical statistical decision theory. It is an important chapter for historical reasons, but it also provides the right mathematical grounding and intuition for more modern statistical tools from data science and machine learning.
Mario V. Wüthrich, Michael Merz
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Minimum scoring rule inference [PDF]
, 2014 Proper scoring rules are methods for encouraging honest assessment of probability distributions. Just like likelihood, a proper scoring rule can be applied to supply an unbiased estimating equation for any statistical model, and the theory of such ...
Dawid, Philip +2 more
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The Journal of Engineering, 2019 The AC-DC hybrid microgrid is a credible evolution path for the microgrid. State estimation in complex distribution network is a significant foundation for the safe operation.
Ling Ping +3 more
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Imputing missing values using cumulative linear regression
CAAI Transactions on Intelligence Technology, 2019 The concept of missing data is important to apply statistical methods on the dataset. Statisticians and researchers may end up to an inaccurate illation about the data if the missing data are not handled properly.
Samih M. Mostafa
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Distributed joint target detection, tracking and classification via Bernoulli filter
IET Radar, Sonar & Navigation, 2022 This paper aims to solve the problem of distributed joint detection, tracking and classification (D‐JDTC) of a target on a peer‐to‐peer sensor network.
Gaiyou Li +5 more
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