A Bayesian Approach to Feature Selection in Classification Problems by Emarly, Maher

Subjects: “…Bayesian statistics…”
Get full text

A New Feature Selection Method for Qualitative Variables by Sayegh, Lama

Subjects: “…Bayesian statistics…”
Get full text

A Novel Bayesian Outlier Score Based on the Negative Binomial Distribution for Detecting Aberrantly Expressed Genes in RNA-Seq Gene Expression Count Data by Edin Salkovic (16891479)

Subjects:

Bayesian neural tree models for nonparametric regression by Chakraborty, Tanujit

“…Summary Frequentist and Bayesian methods differ in many aspects but share some basic optimal properties. …”
Get full text

Synthesis of evidence from zero‐events studies: A comparison of one‐stage framework methods by Chang Xu (102022)

“…<p></p><div> <p>In evidence synthesis, dealing with zero-events studies is an important and complicated task that has generated broad discussion. Numerous methods provide valid solutions to synthesizing data from studies with zero-events, either based on a frequentist or a Bayesian framework. …”

Label dependency modeling in Multi-Label Naïve Bayes through input space expansion by PKA Chitra (21749216)

Improved Machine Learning for Multiclass Fault Classification in Industrial Processes by Khaled Dhibi (16891524)

Inference for the log-logistic distribution based on an adaptive progressive type-II censoring scheme by Maha F. Sewailem (18147604)

“…The Bayes estimators based on squared error loss function (SELF) and the approximate credible intervals for the unknown parameters and the survival function using the Bayesian approach were constructed using the Markov Chain Monte Carlo (MCMC) method. …”

Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods by Sivakavi Naga Venkata Bramareswara Rao (15944992)

“…Thus, load forecasting is a complicated operation that requires more than statistical methods. There are different machine learning methods available in the literature that are applied to single microgrid cases. …”

Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000–17 by Aniruddha Deshpande (4377094)

Estimation and Prediction Under Different Schemes for a Flexible Symmetric Distribution With Applications by Christophe Chesneau (8605029)

“…We then look at parameter estimation using various frequentist and Bayesian methods, such as moment estimation, maximum likelihood method, least‐squares method, and Bayesian approaches. …”

The prevalence of onchocerciasis in Africa and Yemen, 2000–2018: a geospatial analysis by Chris A. Schmidt (11198400)

Mapping subnational HIV mortality in six Latin American countries with incomplete vital registration systems by Local Burden of Disease HIV Collaborators (13279180)

“…We modeled HIV mortality using a Bayesian spatially explicit mixed-effects regression model that incorporates prior information on VR completeness. …”

Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000–17 by Kirsten E Wiens (9153854)

Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000–17: analysis for the Global Burden of Disease Stud... by Robert C Reiner (5147636)

The global, regional, and national burden of inflammatory bowel disease in 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 20... by Sudabeh Alatab (11257335)

Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019 by Christopher J L Murray (13580635)

Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic anal... by Haidong Wang (47381)

Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms by Zhongqiang Ma (13765801)

“…All the experimental results are analyzed by several nonparametric statistical methods, including the Bayesian rank-sum test, Friedman test, Wilcoxon signed-rank test, critical difference plot and Bayesian signed-rank test. …”

Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches by Mohammad, Areej Osama

Get full text