Results 71 to 80 of about 241,820 (264)
Bootstrap Estimation of Conditional Distributions
The Annals of Statistics, 1992 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Booth, James, Hall, Peter, Wood, Andrew
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dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
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A Note on Substitution in Conditional Distribution
The Annals of Statistics, 1975 The following proposition is sometimes used in distribution theory: for each fixed $z$ suppose that $T(X, z)$ has the distribution $Q$ and is independent of $Y$; then $T(X, Z(Y))$ has the distribution $Q$ and is independent of $Y$. An example is presented to show this result is false in general. Additional conditions under which the proposition becomes
Perlman, Michael D., Wichura, Michael J.
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Advanced Engineering Materials, EarlyView.This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
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Some Algorithms for the Conditional Mean Vector and Covariance Matrix
Journal of Statistical Software, 2006 We consider here the problem of computing the mean vector and covariance matrix for a conditional normal distribution, considering especially a sequence of problems where the conditioning variables are changing.
John F. Monahan
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Conditional Distributions and Characterizations of Multivariate Stable Distribution
Journal of Multivariate Analysis, 1995 Let \(X\) and \(Y\) be two identically distributed random variables. \textit{M. Ahsanullah} [Metrika 32, 215-218 (1985; Zbl 0609.62019)] showed that if the conditional distribution of \(X|Y=y\) is a normal distribution with mean \(ay+b\) and with variance \(\sigma^2\), then \(|a|
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Advanced Functional Materials, EarlyView.This work presents a closed‐loop optimization workflow integrating CatBot, an automated synthesis and testing system, to discover NiMo hydrogen‐evolution catalysts. CatBot synthesised and evaluated 228 unique samples, identifying the best performing catalysts for transfer to nickel‐foam electrodes. The best candidate is highly active, reaching 1 Acm−2${
Paolo Vincenzo Freiesleben de Blasio +7 more
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Financial Innovation, 2017 Background Modeling exchange rate volatility has remained crucially important because of its diverse implications. This study aimed to address the issue of error distribution assumption in modeling and forecasting exchange rate volatility between the ...
S. M. Abdullah +3 more
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Material Coupling in Hybrid Neuromorphic Devices: From Fundamentals to System‐Level Applications
Advanced Functional Materials, EarlyView.Hybrid neuromorphic devices utilize heterointerfaces between emerging semiconductors, where charge transfer and trapping, ion or defect modulation, and photogating are translated into synaptic functions. This paper discusses coupling strategies that tailor interfacial electronic and ionic properties in organic semiconductors, metal oxides, two ...
Minsu So +5 more
wiley +1 more source
The value of generalized linear mixed models for data analysis in the plant sciences
Frontiers in HorticultureModern data analysis typically involves the fitting of a statistical model to data, which includes estimating the model parameters and their precision (standard errors) and testing hypotheses based on the parameter estimates.
Laurence V. Madden, Peter S. Ojiambo
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