Results 21 to 30 of about 2,103,105 (303)
Approximate Bayesian inference for doubly robust estimation [PDF]
Doubly robust estimators are typically constructed by combining outcome regression and propensity score models to satisfy moment restrictions that ensure consistent estimation of causal quantities provided at least one of the component models is ...
McCoy, EJ, Graham, DJ, Stephens, DA
core +1 more source
This paper investigates the estimation of an unknown shape parameter of the generalized Rayleigh distribution using Bayesian and expected Bayesian estimation techniques based on type-II censoring data.
E. M. Eldemery +3 more
doaj +1 more source
Bayesian Learning of Markov Network Structure [PDF]
We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend naive Bayes classifiers and outperform existing directed probabilistic classifiers (Bayesian networks) of similar ...
Rish, Irina +3 more
core +2 more sources
Bayesian Direction of Arrival Estimation with Prior Knowledge from Target Tracker
The performance of traditional direction of arrival (DOA) estimation methods always deteriorates at a low signal-to-noise ratio (SNR) or without sufficient observations.
Tianyi Jia +3 more
doaj +1 more source
In this work, we develop a General Entropy loss function (GE) to estimate the reliability function of the Weibull distribution based on complete data. We do this by merging a weight into GE to produce a new loss function called weighted General Entropy ...
Fuad S. Al-Duais
doaj +1 more source
This paper introduces Bayesian analysis and demonstrates its application to parameter estimation of the Poisson regression via Markov Chain Monte Carlo (MCMC) algorithm using roommate conflict data.
Acquah J. De-Graft
doaj +1 more source
Bayesian inference for dynamical systems
Bayesian inference is a common method for conducting parameter estimation for dynamical systems. Despite the prevalent use of Bayesian inference for performing parameter estimation for dynamical systems, there is a need for a formalized and detailed ...
Weston C. Roda
doaj +1 more source
A STATISTICAL ANALYTICS OF MIGRATION USING BINARY BAYESIAN LOGISTIC REGRESSION
Binary logistic regression is utilized in research to understand the relationship between multiple independent variables and a binary response variable. In logistic regression modelling, parameter estimation is regarded as a vital stage.
Devi Azarina Manzilir Rohmah +2 more
doaj +1 more source
Estimation of Parameters for the Gumbel Type-I Distribution under Type-II Censoring Scheme
This paper aims to decide the best parameter estimation methods for the parameters of the Gumbel type-I distribution under the type-II censorship scheme. For this purpose, classical and Bayesian parameter estimation procedures are considered.
Asuman Yılmaz, Mahmut Kara
doaj +1 more source
Source localization from M/EEG data is a fundamental step in many analysis pipelines, including those aiming at clinical applications such as the pre-surgical evaluation in epilepsy.
Gianvittorio Luria +5 more
doaj +1 more source

