Results 21 to 30 of about 142,210 (310)
Mathematics, 2022 In this study, the problem of conditional density estimation of a scalar response variable, given a functional covariable, is considered. A new estimator is proposed by combining the k-nearest neighbors (k-N-N) procedure with the local linear approach ...
Ibrahim M. Almanjahie +3 more
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Kernel Conditional Density Operators
CoRR, 2019 We introduce a novel conditional density estimation model termed the conditional density operator (CDO). It naturally captures multivariate, multimodal output densities and shows performance that is competitive with recent neural conditional density models and Gaussian processes.
Schuster, I. +3 more
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Characterizations of multinomial distributions based on conditional distributions
International Journal of Mathematics and Mathematical Sciences, 1996 Several characterizations of the joint multinomial distribution of two discrete random vectors are derived assuming conditional multinomial distributions.
Khoan T. Dinh +2 more
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Revstat Statistical Journal, 2022 The main objective of this paper is to investigate the estimation of conditional density function based on the single-index model in the censorship model when the sample is considered as an independent and identically distributed (i.i.d.) random ...
Nadia Kadiri +2 more
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A local density condition for triangles
Discrete Mathematics, 1994 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Paul Erdös +3 more
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Investigation the Joint Probabilistic Behavior of River Flow Discharge-Suspended Sediment Load in Nazlochai Basin, Urmia [PDF]
Water Harvesting ResearchAccurately determining the relationship between river flow discharge and suspended sediment load in watersheds is challenging due to the influence of natural and human-induced variables on river estimations.
Soraya Tavasoli +2 more
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CONDITIONAL DENSITY MODELS FOR ASSET PRICING [PDF]
International Journal of Theoretical and Applied Finance, 2010 We model the dynamics of asset prices and associated derivatives by consideration of the dynamics of the conditional probability density process for the value of an asset at some specified time in the future. In the case where the price process is driven by Brownian motion, an associated "master equation" for the dynamics of the conditional ...
Damir Filipovi\'c +2 more
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Scientific African, 2023 This study introduces a new conditional innovation density called the generalized odd generalized exponentiated skew-t (GOGEST) distribution for the generalized autoregressive conditional heteroscedasticity (GARCH) volatility models.
O.D. Adubisi, A. Abdulkadir, D.J. Adashu
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Bottleneck Conditional Density Estimation
CoRR, 2016 We introduce a new framework for training deep generative models for high-dimensional conditional density estimation. The Bottleneck Conditional Density Estimator (BCDE) is a variant of the conditional variational autoencoder (CVAE) that employs layer(s) of stochastic variables as the bottleneck between the input $x$ and target $y$, where both are high-
Rui Shu +2 more
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Nonparametric Estimation of the Density Function of the Distribution of the Noise in CHARN Models
Mathematics, 2022 This work is concerned with multivariate conditional heteroscedastic autoregressive nonlinear (CHARN) models with an unknown conditional mean function, conditional variance matrix function and density function of the distribution of noise.
Joseph Ngatchou-Wandji +3 more
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