Results 211 to 220 of about 3,475 (246)
Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch +3 more
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The case against smooth null infinity IV: Linearized gravity around Schwarzschild-an overview. [PDF]
Kehrberger L.
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Intraday Functional PCA Forecasting of Cryptocurrency Returns
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
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BCS Critical Temperature on Half-Spaces. [PDF]
Roos B, Seiringer R.
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Large gap asymptotics on annuli in the random normal matrix model. [PDF]
Charlier C.
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Generalized coarsened confounding for causal effects: a large-sample framework. [PDF]
Ghosh D, Wang L.
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Singularity formation in 3D Euler equations with smooth initial data and boundary. [PDF]
Chen J, Hou TY.
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Optimal and typical L 2 discrepancy of 2-dimensional lattices. [PDF]
Borda B.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Foster, Dean P, Vohra, Rakesh
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Asymptotic scales-asymptotic algebras
Integral Transforms and Special Functions, 1998J.F. Colombeau and other authors have introduced algebras of generalized functions in order to solve differential problems which have no solution in spaces of distributions. These algebras are based on properties of polynomial growth with respect to a parameter.
Delcroix, Antoine, Scarpalezos, Dimitri
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