Results 81 to 90 of about 50,043 (267)
Asymptotic Distribution of Certain Types of Entropy under the Multinomial Law. [PDF]
Entropy (Basel), 2023 Rey AA +5 more
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An Asymptotic Expansion for Posterior Distributions
The Annals of Mathematical Statistics, 1967 Let $\phi$ be a real valued parameter for the exponential family having densities of the form \begin{equation*}\tag{0.1}p_\phi(x) = C(\phi) \exp \lbrack\phi R(x)\rbrack\end{equation*} with respect to a $\sigma$-finite measure $\mu$ over a Euclidean sample space. Now assume that the parameter $\phi$ has a prior density $\rho(\phi)$.
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Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors
Advanced Science, EarlyView.Accurate perception of visuomotor errors underpins motor precision and learning, yet conventional behavioral training fails to improve sensitivity to subtle errors. Real‐time EEG‐based brain‐computer interface feedback targeting the error positivity component enhances perceptual learning of small errors.
Deland H. Liu +4 more
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The asymptotic distribution of modularity in weighted signed networks. [PDF]
Biometrika, 2021 Ma R, Barnett I.
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On Asymptotic Distributions of Arithmetical Functions [PDF]
Transactions of the American Mathematical Society, 1936 1. The present note was suggested by recent work of H. Davenport, [3 ],t S. Bochner and B. Jessen, [2 ], and A. Wintner and B. Jessen, [6 ]. Davenport established the existence of asymptotic distribution functions for a certain class of arithmetical functions by an extension of a method previously used by the author, [8], [9], in a similar ...
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A Generative Neuro‐Symbolic AI for Protein Sequence Design
Advanced Science, EarlyView.We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Quasi-Likelihood Estimation in the Fractional Black–Scholes Model
MathematicsIn this paper, we consider the parameter estimation for the fractional Black–Scholes model of the form StH=S0H+μ∫0tSsHds+σ∫0tSsHdBsH, where σ>0 and μ∈R are the parameters to be estimated. Here, BH={BtH,t≥0} denotes a fractional Brownian motion with Hurst
Wenhan Lu, Litan Yan, Yiang Xia
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Advanced Science, EarlyView.Complex microarchitectures emerge from simple flow‐driven transformations as static mixers iteratively reorient and split material domains. Coupled with diverse deposition strategies, chaotic printing provides an accessible platform for fabricating architected materials that support biologically and chemically relevant processes. ABSTRACT Nature builds
Edna Johana Bolívar‐Monsalve +7 more
wiley +1 more source
Advanced Science, EarlyView.An antiferroelectric tunnel junction serves as a reservoir computing node, where field‐induced phase transitions and spontaneous ZrO2 relaxation deliver nonlinear fading memory. An In‐Ga‐Zn oxide interlayer enlarges the memory margin and multibit state richness.
Taegyu Kwon +13 more
wiley +1 more source
Asymptotic Coverage Distributions on the Circle
The Annals of Probability, 1979 Place $n$ arcs, each of length $a_n$, uniformly at random on the circumference of a circle, choosing the arc length sequence $a_n$ so that the probability of completely covering the circle remains constant. We obtain the limiting distribution of the uncovered proportion of the circle.
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