Results 41 to 50 of about 1,681,604 (218)

Bayesian adaptive lasso with variational Bayes for variable selection in high-dimensional generalized linear mixed models [PDF]

Communications in Statistics - Simulation and Computation, 2018
This article describes a full Bayesian treatment for simultaneous fixed-effect selection and parameter estimation in high-dimensional generalized linear mixed models. The approach consists of using a Bayesian adaptive Lasso penalty for signal-level adaptive shrinkage and a fast Variational Bayes scheme for estimating the posterior mode of the ...
Dao Thanh Tung, Minh-Ngoc Tran, Tran Manh Cuong   +2 more
openaire   +3 more sources

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

Variable selection in social-environmental data: sparse regression and tree ensemble machine learning approaches

BMC Medical Research Methodology, 2020
Background Social-environmental data obtained from the US Census is an important resource for understanding health disparities, but rarely is the full dataset utilized for analysis.
Elizabeth Handorf, Yinuo Yin, Michael Slifker, Shannon Lynch   +3 more
doaj   +1 more source

Omnidirectional Interaction Networks Modulating Phenotypic Plasticity in the Gut Microbiota Towards Ulcerative Colitis

Advanced Science, EarlyView.
This study employs a spouse‐pair cohort design and an idopNetwork model that integrates evolutionary game theory, predator‐prey dynamics, and developmental modularity theory to reconstruct maximally informative microbial interaction networks. This approach reveals how interspecies interactions drive the phenotypic plasticity of the gut microbiota in ...
Huizhen Li, Jiayi Li, Ang Dong, Xiaoyan Guo, Qiuyue Tu, Zelin Feng, Haojia Lin, Yanru Zhang, Yuxuan Hao, Huiying Gong, Yihan Meng, Yu Wang, Shing‐Tung Yau, Xiaocang Cao, Rongling Wu, Xinjuan Liu   +15 more
wiley   +1 more source

Penalized single-index quantile regression [PDF]

, 2013
This article is made available through the Brunel Open Access Publishing Fund. Copyright for this article is retained by the author(s), with first publication rights granted to the journal.
Yu, K
core   +1 more source

PEMODELAN PERTAMBAHAN TINGGI BADAN BALITA STUNTING DI KABUPATEN SOLOK MENGGUNAKAN REGRESI TOBIT KUANTIL BAYESIAN DENGAN PENALIZED LASSO [PDF]

, 2023
Penelitian ini bertujuan untuk mengindentifikasi model terbaik pertambahan tinggi badan balita stunting di Kabupaten Solok menggunakan regresi Tobit kuantil Bayesian dengan Penalized LASSO.
Arfarani, Rosalindari
core   +1 more source

Plot of the Bayesian view of the lqsso penalty.

, 2023
Plot of the lqsso penalty in comparison with the lasso and adaptive lasso penalty based on Bayesian approach. (TIFF)
Alireza Daneshvar (14636459), Golalizadeh Mousa (14636462)   +1 more
core   +1 more source

Complementing the power of deep learning with statistical model fusion: Probabilistic forecasting of influenza in Dallas County, Texas, USA

Epidemics, 2019
Influenza is one of the main causes of death, not only in the USA but worldwide. Its significant economic and public health impacts necessitate development of accurate and efficient algorithms for forecasting of any upcoming influenza outbreaks.
Marwah Soliman, Vyacheslav Lyubchich, Yulia R. Gel   +2 more
doaj   +1 more source

Tuberculosis among Children and Adolescents at HIV Treatment Centers in Sub-Saharan Africa

Emerging Infectious Diseases, 2020
HIV-infected children and adolescents are at increased risk for tuberculosis (TB). Antiretroviral therapy (ART) reduces TB risk in HIV-infected adults, but its effectiveness in HIV-infected children and adolescents is unknown.
Anna M. Mandalakas, Alexander W. Kay, Jason M. Bacha, Tara Devezin, Rachel Golin, Katherine R. Simon, Dilsher Dhillon, Sandile Dlamini, Andrew DiNardo, Mogo Matshaba, Jill Sanders, Lineo Thahane, Pauline M. Amuge, Saeed Ahmed, Moorine P. Sekadde, Neway G. Fida, Bhekumusa Lukhele, Nodumo Chidah, David Damba, Joseph Mhango, Moses Chodota, Makhorong Matsoso, Angelina Kayabu, Richard S. Wanless, Gordon E. Schutze   +24 more
doaj   +1 more source

Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches

AIChE Journal, EarlyView.
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin, Jules Thibault, Clémence Fauteux‐Lefebvre   +2 more
wiley   +1 more source