Results 21 to 30 of about 547,274 (236)

Bayesian Model Selection for Beta Autoregressive Processes [PDF]

, 2010
We deal with Bayesian inference for Beta autoregressive processes. We restrict our attention to the class of conditionally linear processes. These processes are particularly suitable for forecasting purposes, but are difficult to estimate due to the ...
Casarin, R., Leisen, F., Valle, L. Dalla
core   +2 more sources

Bayesian reliability analysis based on the Weibull model under weighted General Entropy loss function

Alexandria Engineering Journal, 2022
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

Optimal, reliable estimation of quantum states [PDF]

, 2006
Accurately inferring the state of a quantum device from the results of measurements is a crucial task in building quantum information processing hardware.
Aliferis P, Altepeter J B, Blume-Kohout R Hayden P, Carlin B P, Derka R, Gross D Liu Y-K Flammia S T Becker S Eisert J, Helstrom C W, Hradil Z, Häffner H, Robin Blume-Kohout, Zyczkowski K   +10 more
core   +2 more sources

AN APPLICATION OF THE BAYESIAN POISSON REGRESSION IN MODELLING ROOMMATE CONFLICT AMONG UNIVERSITY OF CAPE COAST STUDENTS

Russian Journal of Agricultural and Socio-Economic Sciences, 2021
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

Infectious Disease Modelling, 2020
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

Barekeng, 2023
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, Ani Budi Astuti, Achmad Efendi   +2 more
doaj   +1 more source

Estimation of Parameters for the Gumbel Type-I Distribution under Type-II Censoring Scheme

مجلة بغداد للعلوم, 2023
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

Machine-Learning-Based Parameter Estimation of Gaussian Quantum States

IEEE Transactions on Quantum Engineering, 2022
In this article, we propose a machine-learning framework for parameter estimation of single-mode Gaussian quantum states. Under a Bayesian framework, our approach estimates parameters of suitable prior distributions from measured data.
Neel Kanth Kundu, Matthew R. McKay, Ranjan K. Mallik   +2 more
doaj   +1 more source

The SESAMEEG package: a probabilistic tool for source localization and uncertainty quantification in M/EEG

Frontiers in Human Neuroscience
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, Alessandro Viani, Annalisa Pascarella, Harald Bornfleth, Sara Sommariva, Alberto Sorrentino   +5 more
doaj   +1 more source

Bayesian Estimation of a New Pareto-Type Distribution Based on Mixed Gibbs Sampling Algorithm

Mathematics, 2023
In this paper, based on the mixed Gibbs sampling algorithm, a Bayesian estimation procedure is proposed for a new Pareto-type distribution in the case of complete and type II censored samples.
Fanqun Li, Shanran Wei, Mingtao Zhao
doaj   +1 more source