Results 41 to 50 of about 10,621 (115)

Hydrological Model Diversity Enhances Streamflow Forecast Skill at Short‐ to Medium‐Range Timescales

Water Resources Research, 2019
We investigate the ability of hydrological multimodel ensemble predictions to enhance the skill of streamflow forecasts at short‐ to medium‐range timescales.
Sanjib Sharma, Ridwan Siddique, Seann Reed, Peter Ahnert, Alfonso Mejia   +4 more
doaj   +1 more source

Risk factors based vessel-specific prediction for stages of coronary artery disease using Bayesian quantile regression machine learning method: Results from the PARADIGM registry. [PDF]

Clin Cardiol, 2023
Park HB, Lee J, Hong Y, Byungchang S, Kim W, Lee BK, Lin FY, Hadamitzky M, Kim YJ, Conte E, Andreini D, Pontone G, Budoff MJ, Gottlieb I, Chun EJ, Cademartiri F, Maffei E, Marques H, Gonçalves PA, Leipsic JA, Shin S, Choi JH, Virmani R, Samady H, Chinnaiyan K, Stone PH, Berman DS, Narula J, Shaw LJ, Bax JJ, Min JK, Kook W, Chang HJ.   +32 more
europepmc   +1 more source

Improved Quantile Convolutional and Recurrent Neural Networks for Electric Vehicle Battery Temperature Prediction

Big Data Mining and Analytics
The battery thermal management of electric vehicles can be improved using neural networks predicting quantile sequences of the battery temperature. This work extends a method for the development of Quantile Convolutional and Quantile Recurrent Neural ...
Andreas M. Billert, Runyao Yu, Stefan Erschen, Michael Frey, Frank Gauterin   +4 more
doaj   +1 more source

Adaptive Bayesian Quantile Regression for Count Data: A Random-Bridge Penalty Approach With Applications

Journal of Mathematics
A Bayesian modeling framework with a random-bridge prior is proposed for quantile regression of high-dimensional count data, addressing challenges in variable sparsity identification and model adaptability.
Youxi Luo, Ziqi Zhou, Chaozhu Hu, Hanfang Li   +3 more
doaj   +1 more source

Identify Relative importance of covariates in Bayesian lasso quantile regression via new algorithm in statistical program R [PDF]

Revista Română de Statistică, 2017
In this paper, we propose a new algorithm to determine the relative importance of covariates by Bayesian Lasso quantile regression for variable selection assigning new formula of Laplace distributions for the regression parameters.
Fadel Hamid Hadi Alhusseini, Taha al Shaybawee, Fedaa Abd Almajid Sabbar Alaraje   +2 more
doaj  

Variational Bayesian EM Algorithm for Quantile Regression in Linear Mixed Effects Models

Mathematics
This paper extends the normal-beta prime (NBP) prior to Bayesian quantile regression in linear mixed effects models and conducts Bayesian variable selection for the fixed effects of the model.
Weixian Wang, Maozai Tian
doaj   +1 more source

Bayesian Quantile Regression with Adaptive Elastic Net Penalty for Longitudinal Data

پژوهش‌های ریاضی, 2015
Longitudinal studies include the important parts of epidemiological surveys, clinical trials and social studies. In longitudinal studies, measurement of the responses is conducted repeatedly through time.
A Aghamohammadi, S Mohammadi
doaj  

Correction to "Risk factors based vessel-specific prediction for stages of coronary artery disease using Bayesian quantile regression machine learning method: Results from the PARADIGM registry". [PDF]

Clin Cardiol, 2023
europepmc   +1 more source

A latent class based imputation method under Bayesian quantile regression framework using asymmetric Laplace distribution for longitudinal medication usage data with intermittent missing values. [PDF]

J Biopharm Stat, 2020
Lee M, Rahbar MH, Gensler LS, Brown M, Weisman M, Reveille JD.   +5 more
europepmc   +1 more source

Bayesian Approach of Birnbaum-Saunders Quantile Regression via Jeffreys and Weakly Informative Priors

Proceedings of the International Conference on Applied Innovations in IT
In this article we propose a general Bayesian estimation framework for the Birnbaum-Saunders Quantile Regression (BSQ) model which is used to analyze asymmetric and heterogeneous economic data. In this work, the novel aspect is the joint incorporation of
Raghda Zeyad Tariq, Omar Abdulmohsin Ali
doaj   +1 more source