Results 21 to 30 of about 2,020,572 (302)

Enhanced off-grid DOA estimation by corrected power Bayesian inference using difference coarray

The Journal of Engineering, 2019
Sparse Bayesian inference for on-grid direction-of-arrival (DOA) estimation using difference coarray was investigated in the authors’ previous work to estimate more signal sources than the number of physical antenna elements. Sparse Bayesian inference is
Yanan Ma, Xianbin Cao, Xiangrong Wang
doaj   +1 more source

Bayesian and E-Bayesian Estimation for the Generalized Rayleigh Distribution under Different Forms of Loss Functions with Real Data Application

Journal of Mathematics, 2023
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, A. M. Abd-Elfattah, K. M. Mahfouz, Mohammed M. El Genidy   +3 more
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Efficient utility-based clustering over high dimensional partition spaces [PDF]

, 2009
Because of the huge number of partitions of even a moderately sized dataset, even when Bayes factors have a closed form, in model-based clustering a comprehensive search for the highest scoring (MAP) partition is usually impossible.
Smith, JQ, Millar, A. J., Millar, AJ, Liverani, Silvia, Smith, J. Q., Liverani, S, Anderson, Paul E., Anderson, PE, Edwards, Kieron D., Edwards, KD   +9 more
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Collective Animal Behavior from Bayesian Estimation and Probability Matching [PDF]

, 2011
Animals living in groups make movement decisions that depend, among other factors, on social interactions with other group members. Our present understanding of social rules in animal collectives is based on empirical fits to observations and we lack ...
de Polavieja, Gonzalo, G, Gonzalo de Polavieja, García de Polavieja, Gonzalo, Gonzalo G. de Polavieja, Alfonso Perez-Escudero, Pérez-Escudero Alfonso, Pérez-Escudero, Alfonso, Gonzalo G de Polavieja, de Polavieja Gonzalo G.   +8 more
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Bayesian Direction of Arrival Estimation with Prior Knowledge from Target Tracker

Remote Sensing, 2023
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, Hongwei Liu, Penghui Wang, Chang Gao   +3 more
doaj   +1 more source

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

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
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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
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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
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A Hierarchical Bayesian Model for Frame Representation [PDF]

, 2010
In many signal processing problems, it is fruitful to represent the signal under study in a frame. If a probabilistic approach is adopted, it becomes then necessary to estimate the hyperparameters characterizing the probability distribution of the frame
Amel Benazza-Benyahia, Ciuciu, Philippe, Chaari, Lotfi, Philippe Ciuciu, Jean-Yves Tourneret, Jean-Christophe Pesquet, Lotfi Chaari, Tourneret, Jean-Yves, Pesquet, Jean-Christophe, Benazza-Benyahia, Amel   +9 more
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