Results 11 to 20 of about 142,210 (310)

Optimal Bayesian Estimation of a Regression Curve, a Conditional Density, and a Conditional Distribution

open access: yesMathematics, 2022
In this paper, several related estimation problems are addressed from a Bayesian point of view, and optimal estimators are obtained for each of them when some natural loss functions are considered.
Agustín G. Nogales
doaj   +1 more source

Effect of adverse events on non-adherence and study non-completion in malaria chemoprevention during pregnancy trial: A nested case control study.

open access: yesPLoS ONE, 2022
BackgroundIn drug trials, adverse events (AEs) burden can induce treatment non-adherence or discontinuation. The non-adherence and discontinuation induce selection bias, affecting drug safety interpretation.
Noel Patson   +7 more
doaj   +3 more sources

Asymptotic Properties of the Semi-Parametric Estimators of the Conditional Density for Functional Data in the Single Index Model with Missing Data at Random

open access: yesStatistica, 2022
The main objective of this work is to estimate, semi-parametrically, the mode of a conditional density when the response is a real valued random variable subject to censored phenomenon and the predictor takes values in a semi-metric space. We assume that
Abbes Rabhi   +2 more
doaj   +1 more source

The convexity condition of density-functional theory

open access: yesThe Journal of Chemical Physics, 2023
It has long been postulated that within density-functional theory (DFT), the total energy of a finite electronic system is convex with respect to electron count so that 2Ev[N0] ≤ Ev[N0 − 1] + Ev[N0 + 1]. Using the infinite-separation-limit technique, this Communication proves the convexity condition for any formulation of DFT that is (1) exact for all ...
Andrew C. Burgess   +2 more
openaire   +3 more sources

Distinguishing density and the Distinct Spheres Condition [PDF]

open access: yesEuropean Journal of Combinatorics, 2020
If a graph $G$ has distinguishing number 2, then there exists a partition of its vertex set into two parts, such that no nontrivial automorphism of $G$ fixes setwise the two parts. Such a partition is called a 2-distinguishing coloring of $G$, and the parts are called its color classes.
Wilfried Imrich   +2 more
openaire   +4 more sources

Partition comparison and fitting function of class conditional probability density of hourly rainfall

open access: yes暴雨灾害, 2021
Six latitude-longitude rectangular regions were selected (Four is on the 30°N line: around Ya'an, in the southwest of Hubei, in the souther of Jianghan Plain, west Hangzhou Bay.Others are Hainan Island and around Zhengzhou, one is in its south and ...
Tieyuan SHEN   +5 more
doaj   +1 more source

Using conditional kernel density estimation for wind power density forecasting [PDF]

open access: yes, 2012
Of the various renewable energy resources, wind power is widely recognized as one of the most promising. The management of wind farms and electricity systems can benefit greatly from the availability of estimates of the probability distribution of wind ...
Jeon, Jooyoung   +3 more
core   +1 more source

Asymptotic Results of Some Conditional Nonparametric Functional Parameters in High-Dimensional Associated Data

open access: yesMathematics, 2023
In this paper, we propose to study the asymptotic properties of some conditional functional parameters, such as the distribution function, the density, and the hazard function, for an explanatory variable with values in a Hilbert space (infinite ...
Hamza Daoudi   +2 more
doaj   +1 more source

Density Conditions for Panchromatic Colourings of Hypergraphs [PDF]

open access: yesCombinatorica, 2001
A panchromatic \(t\)-colouring of a hypergraph \( H =(V,E)\) is a \(t\)-colouring such that each edge has at least one vertex of each colour. Hypergraph \(H\) is panchromatically \(t\)-choosable (panchromatically \(t\)-list-colourable) if, whenever each vertex is given a list of \(t\) colours, the vertices can be panchromatically \(t\)-coloured by ...
Alexandr V. Kostochka   +1 more
openaire   +2 more sources

ADAPTIVE BAYESIAN ESTIMATION OF CONDITIONAL DENSITIES [PDF]

open access: yesEconometric Theory, 2016
We consider a nonparametric Bayesian model for conditional densities. The model is a finite mixture of normal distributions with covariate dependent multinomial logit mixing probabilities. A prior for the number of mixture components is specified on positive integers. The marginal distribution of covariates is not modeled.
Norets, Andriy, Pati, Debdeep
openaire   +2 more sources

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