Likelihood inference for small variance components
In this paper, we develop likelihood-based methods for making inferences about the components of variance in a general normal mixed linear model. In particular, we use local asymptotic approximations to construct confidence intervals for the components ...
Stern, S.E., Welsh, A.H.
core
Weighted negative binomial distribution: properties and applications. [PDF]
Satheesh Kumar C, Sathyan P.
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Deep Learning-Based Automatic Modulation Classification Using Robust CNN Architecture for Cognitive Radio Networks. [PDF]
Abd-Elaziz OF, Abdalla M, Elsayed RA.
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Integrated Sensing and Communication via Orthogonal Time Frequency Space Signaling with Hybrid Message Passing Detection and Fractional Parameter Estimation. [PDF]
Zhang J, Cai L, Liu H.
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WHEN IS A MAXIMAL INVARIANT HYPOTHESIS TEST BETTER THAN THE GLRT?
There has been considerable recent interest in applying maximal invariant (MI) hypothesis testing as an alternative to the generalized likelihood ratio test (GLRT). This interest has been motivated by several attractive theoretical properties of MI tests
Alfred O. Hero, Hyung Soo Kim
core
An Adaptive Detection Algorithm for Non-Uniform Sea Clutter Background Targets Based on Iterative Weighting and Sample Purification. [PDF]
Su H, Zhang L, Zhao C, Li K.
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Detecting Beta-Amyloid Plaque via Low Rank Based Orthogonal Projection and Spatial-Spectrum Detector Using High-Resolution Quantitative Susceptibility Mapping for Preclinical Studies. [PDF]
Chen J +10 more
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Underwater Low-Frequency Magnetic Field Detection Based on <i>Rao</i>'s Sliding Threshold Method. [PDF]
Li Y, Zhang J.
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Optimized molecule detection in localization microscopy with selected false positive probability. [PDF]
Hekrdla M +5 more
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Quality control maps: Real-time quantitative control of single-molecule localization microscopy data. [PDF]
Mailfert S +4 more
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