Cargando…

Bayesian Lasso and multinomial logistic regression on GPU

We describe an efficient Bayesian parallel GPU implementation of two classic statistical models—the Lasso and multinomial logistic regression. We focus on parallelizing the key components: matrix multiplication, matrix inversion, and sampling from the full conditionals. Our GPU implementations of Ba...

Descripción completa

Detalles Bibliográficos
Autores principales:	Češnovar, Rok, Štrumbelj, Erik
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2017
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5489220/ https://www.ncbi.nlm.nih.gov/pubmed/28658298 http://dx.doi.org/10.1371/journal.pone.0180343

Ejemplares similares

Empirical Bayesian LASSO-logistic regression for multiple binary trait locus mapping
por: Huang, Anhui, et al.
Publicado: (2013)

Trinculo: Bayesian and frequentist multinomial logistic regression for genome-wide association studies of multi-category phenotypes
por: Jostins, Luke, et al.
Publicado: (2016)

Validation and updating of risk models based on multinomial logistic regression
por: Van Calster, Ben, et al.
Publicado: (2017)

Robust Minimum Divergence Estimation for the Multinomial Circular Logistic Regression Model
por: Castilla, Elena, et al.
Publicado: (2023)

Logistic LASSO Regression for Dietary Intakes and Breast Cancer
por: McEligot, Archana J., et al.
Publicado: (2020)

Association between air pollution and COVID‐19 disease severity via Bayesian multinomial logistic regression with partially missing outcomes
por: Hoskovec, Lauren, et al.
Publicado: (2022)

Applying logistic LASSO regression for the diagnosis of atypical Crohn's disease
por: Li, Ying, et al.
Publicado: (2022)

Evaluation of logistic Bayesian LASSO for identifying association with rare haplotypes
por: Biswas, Swati, et al.
Publicado: (2014)

Multinomial and ordinal Logistic regression analyses with multi-categorical variables using R
por: Liang, Jiaqi, et al.
Publicado: (2020)

Large Unbalanced Credit Scoring Using Lasso-Logistic Regression Ensemble
por: Wang, Hong, et al.
Publicado: (2015)

Identification of miRNA biomarkers for breast cancer by combining ensemble regularized multinomial logistic regression and Cox regression
por: Li, Juntao, et al.
Publicado: (2022)

Evaluation of multinomial logistic regression models for predicting causative pathogens of food poisoning cases
por: INOUE, Hideya, et al.
Publicado: (2018)

Minimum sample size for developing a multivariable prediction model using multinomial logistic regression
por: Pate, Alexander, et al.
Publicado: (2023)

Dietary Intake and Asthma in Preschoolers: A Logistic Lasso Regression Analysis
por: Qu, Yangming, et al.
Publicado: (2022)

Multinomial logistic regression approach to haplotype association analysis in population-based case-control studies
por: Chen, Yi-Hau, et al.
Publicado: (2006)

Logistic Bayesian LASSO for detecting association combining family and case-control data
por: Zhou, Xiaofei, et al.
Publicado: (2018)

Logistic Bayesian LASSO for Genetic Association Analysis of Data from Complex Sampling Designs
por: Zhang, Yuan, et al.
Publicado: (2017)

Determinants of infant feeding practices among Black mothers living with HIV: a multinomial logistic regression analysis
por: Etowa, Josephine, et al.
Publicado: (2021)

Fertility decision and its associated factors in Sub-Saharan Africa: a multilevel multinomial logistic regression analysis
por: Teshale, Achamyeleh Birhanu, et al.
Publicado: (2022)

Analysing outlier communities to child birth weight outcomes in Malawi: application of multinomial logistic regression model diagnostics
por: Sakala, Natasha, et al.
Publicado: (2022)

An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data
por: Wadsworth, W. Duncan, et al.
Publicado: (2017)

Factors associated with unmet need for family planning in sub-Saharan Africa: A multilevel multinomial logistic regression analysis
por: Teshale, Achamyeleh Birhanu
Publicado: (2022)

Rice Seed Purity Identification Technology Using Hyperspectral Image with LASSO Logistic Regression Model
por: Liu, Weihua, et al.
Publicado: (2021)

Network-Constrained Group Lasso for High-Dimensional Multinomial Classification with Application to Cancer Subtype Prediction
por: Tian, Xinyu, et al.
Publicado: (2015)

Correlated mutations via regularized multinomial regression
por: Sreekumar, Janardanan, et al.
Publicado: (2011)

Sample size considerations and predictive performance of multinomial logistic prediction models
por: de Jong, Valentijn M. T., et al.
Publicado: (2019)

Bayesian multiple logistic regression for case-control GWAS
por: Banerjee, Saikat, et al.
Publicado: (2018)

Estimating Mode of Transport in Daily Mobility during the COVID-19 Pandemic Using a Multinomial Logistic Regression Model
por: Mazanec, Jaroslav, et al.
Publicado: (2023)

Retrospective Analysis of the Outcome of Hospitalized COVID-19 Patients with Coexisting Metabolic Syndrome and HIV Using Multinomial Logistic Regression
por: Mphekgwana, Peter M., et al.
Publicado: (2023)

Erratum to: An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data
por: Wadsworth, W. Duncan, et al.
Publicado: (2017)

MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package
por: Koslovsky, Matthew D., et al.
Publicado: (2020)

Awareness Level of Business Students regarding Drinking Water Safety and Associated Adulteration Accidents: A Multinomial Logistic Regression Approach
por: Zahid, R. M. Ammar, et al.
Publicado: (2022)

Determinants of place birth: a multinomial logistic regression and spatial analysis of the Ethiopian mini demographic and health survey data, 2019
por: Gudayu, Temesgen Worku
Publicado: (2022)

Modern contraceptive method utilization and determinant factors among women in Ethiopia: Multinomial logistic regression mini- EDHS-2019 analysis
por: Negash, Berhan Tsegaye, et al.
Publicado: (2023)

Factors Associated with Low Uptake of Medical Male Circumcision Among Adolescent Boys in Tanzania: A Multinomial Logistic Regression Modeling
por: Bendera, Anderson, et al.
Publicado: (2022)

Clustering microbiome data using mixtures of logistic normal multinomial models
por: Fang, Yuan, et al.
Publicado: (2023)

Association between number of medications and hip fractures in Japanese elderly using conditional logistic LASSO regression
por: Uematsu, Takuya, et al.
Publicado: (2023)

Novel score for predicting early emergency endovascular therapy in trauma care using logistic LASSO regression
por: Yokoyama, Taro, et al.
Publicado: (2022)

An Improved Version of Logistic Bayesian LASSO for Detecting Rare Haplotype-Environment Interactions with Application to Lung Cancer
por: Zhang, Yuan, et al.
Publicado: (2015)

Correction to: MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package
por: Koslovsky, Matthew D., et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_npg694hpkjf4cov1m6fdotmfjn