Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored Data. [PDF]
J Mach Learn Res, 2023 Hu B, Nan B.
europepmc +1 more source
Flexible time series models for subjective distribution estimation with monetary policy in view [PDF]
In this paper, we introduce a new approach to estimate the subjective distribution of the future short rate from the historical dynamics of futures, based on a model generated by a Normal Inverse Gaussian distribution, with dynamical parameters.
Dominique Guegan, Florian Ielpo
core
Advanced Science, EarlyView.This study identifies the HDAC6/GATA4/HtrA1 axis as a critical driver of cellular senescence in the inner ear. GATA4 nuclear translocation, facilitated by HDAC6 downregulation, transcriptionally activates HtrA1, promoting hair cell senescence, SASP, and audio‐vestibular dysfunction in models of Ménière's disease and age‐related audio‐vestibular ...
Na Zhang +16 more
wiley +1 more source
Conditional Diffusion Model for Urban Morphology Prediction
Remote SensingPredicting urban morphology based on local attributes is an important issue in urban science research. The deep generative models represented by generative adversarial network (GAN) models have achieved impressive results in this area.
Tiandong Shi +6 more
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Multivariate-From-Univariate MCMC Sampler: The R Package MfUSampler
Journal of Statistical Software, 2017 The R package MfUSampler provides Markov chain Monte Carlo machinery for generating samples from multivariate probability distributions using univariate sampling algorithms such as the slice sampler and the adaptive rejection sampler.
Alireza S. Mahani +1 more
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Predicting temperature curve based on fast kNN local linear estimation of the conditional distribution function. [PDF]
PeerJ, 2021 Almanjahie IM +3 more
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Advanced Science, EarlyView.ABSTRACT Accumulating evidence suggests that the intestinal microbiota participates in the progression of metabolic dysfunction‐associated steatotic liver disease (MASLD) through microbiota‐host interaction. However, the beneficial role of commensal mycobiota in MASLD progression remains poorly understood.
Shuping Qiao +11 more
wiley +1 more source
A Novel Nonparametric Estimation for Conditional Copula Functions Based on Bayes Theorem
IEEE Access, 2019 Conditional copula which measures the conditional dependence among variables, possesses a special position in copula field. In this article, based on Bayes theorem, we derive three kinds of conditional copula functions as the product of the corresponding
Xinyao Li, Weihong Zhang, Liangli He
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Conditional distribution modeling as an alternative method for covariates simulation: Comparison with joint multivariate normal and bootstrap techniques. [PDF]
CPT Pharmacometrics Syst Pharmacol, 2021 Smania G, Jonsson EN.
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Neural network for estimating conditional distributions
IEEE Transactions on Neural Networks, 1997 Neural networks for estimating conditional distributions and their associated quantiles are investigated in this paper. A basic network structure is developed on the basis of kernel estimation theory, and consistency is proved from a mild set of assumptions.
Henrik Schiøler, Piotr Kulczycki
openaire +4 more sources