Results 1 to 10 of about 142,210 (310)
On Conditional Density Estimation [PDF]
Statistica Neerlandica, 2002 With the aim of mitigating the possible problem of negativity in the estimation of the conditional density function, we introduce a so‐called re‐weighted Nadaraya‐Watson (RNW) estimator. The proposed RNW estimator is constructed by a slight modification of the well‐known Nadaraya‐Watson smoother. With a detailed asymptotic analysis, we demonstrate that
de Gooijer, J.G., Zerom Godefay, D.
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Empirical Bayes Conditional Density Estimation
Statistica, 2015 The problem of nonparametric estimation of the conditional density of a response, given a vector of explanatory variables, is classical and of prominent importance in many prediction problems since the conditional density provides a more comprehensive ...
Catia Scricciolo
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Least-Squares Conditional Density Estimation
IEICE Transactions on Information and Systems, 2010 Estimating the conditional mean of an input-output relation is the goal of regression. However, regression analysis is not sufficiently informative if the conditional distribution has multi-modality, is highly asymmetric, or contains heteroscedastic noise. In such scenarios, estimating the conditional distribution itself would be more useful.
Masashi Sugiyama +2 more
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A Review of Copula-Based Approach for Water Resources Time Series [PDF]
Water Harvesting Research, 2023 This research investigates the utilization of copula functions in the water resources field, encompassing meteorological and hydrological aspects. A review of the Web of Sciences archive revealed 15143 studies featuring copula keywords.
Mohammad Nazeri Tahroudi +3 more
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Frequency Analysis and Joint Simulation of Qualitative Variables of River Flow Using Copula Functions [PDF]
Water Harvesting Research, 2022 In this study, in order to analyze the frequency of surface water quality variables (EC-Cl and EC-SO4) and to simulate the dependent variables, the applicability of copula-based functions was addressed. Since meteorological and hydrological variables are
Gholamreza Ahangi +2 more
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Flood routing via a copula-based approach
Hydrology Research, 2021 Floods are among the most common natural disasters that if not controlled may cause severe damage and high costs. Flood control and management can be done using structural measures that should be designed based on the flood design studies. The simulation
Mohammad Nazeri Tahroudi +3 more
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Hydrology Research, 2020 The complex hydrological events such as storm, flood and drought are often characterized by a number of correlated random variables. Copulas can model the dependence structure independently of the marginal distribution functions and provide multivariate ...
Mohammad Nazeri Tahroudi +3 more
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Local linear approach: Conditional density estimate for functional and censored data
Demonstratio Mathematica, 2022 Let YY be a random real response, which is subject to right censoring by another random variable CC. In this paper, we study the nonparametric local linear estimation of the conditional density of a scalar response variable and when the covariable takes ...
Benkhaled Abdelkader, Madani Fethi
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Mixture Density Conditional Generative Adversarial Network Models (MD-CGAN)
Signals, 2021 Generative Adversarial Networks (GANs) have gained significant attention in recent years, with impressive applications highlighted in computer vision, in particular. Compared to such examples, however, there have been more limited applications of GANs to
Jaleh Zand, Stephen Roberts
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The Estimation of Conditional Densities [PDF]
, 2000 We discuss a number of issues in the smoothed nonparametric estimation of kernel conditional probability density functions for stationary processes. The kernel conditional density estimate is a ratio of joint and marginal density estimates. We point out the different implications of leading choices of bandwidths in numerator and denominator for the ...
Xiaohong Chen +2 more
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