Yang Feng

Latest

• Transfer Learning under High-dimensional Generalized Linear Models
• A likelihood-ratio type test for stochastic block models with bounded degrees
• Community detection with nodal information: likelihood and its variational approximation
• Large-Scale Model Selection with Misspecification
• Testing Community Structures for Hypergraphs
• Super RaSE: Super Random Subspace Ensemble Classification
• Analytical performance of lateral flow immunoassay for SARS-CoV-2 exposure screening on venous and capillary blood samples
• Comparison of solid tissue sequencing and liquid biopsy accuracy in identification of clinically relevant gene mutations and rearrangements in lung adenocarcinomas
• Imbalanced classification: A paradigm-based review
• Mediation effect selection in high-dimensional and compositional microbiome data
• Model Averaging for Nonlinear Regression Models
• Partial Distance Correlation Screening for High Dimensional Time Series
• RaSE: A Variable Screening Framework via Random Subspace Ensembles
• RaSE: Random Subspace Ensemble Classification
• The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of US COVID-19 Cases
• Visceral adipose tissue in patients with COVID-19: risk stratification for severity
• RaSEn R package
• Accounting for incomplete testing in the estimation of epidemic parameters
• Using NYU hpc Server
• visualization on nyu hpcserver
• A Projection Based Conditional Dependence Measure with Applications to High-dimensional Undirected Graphical Models
• Neyman-Pearson classification: parametrics and sample size requirement
• On the estimation of correlation in a binary sequence model
• On the estimation of correlation in a binary sequence model
• On the sparsity of Mallows model averaging estimator
• Spectral clustering via adaptive layer aggregation for multi-layer networks
• A Kronecker Product Model for Repeated Pattern Detection on 2D Urban Images
• Likelihood adaptively modified penalties
• Regularization after retention in ultrahigh dimensional linear regression models
• The restricted consistency property of leave-$n_v$-out cross-validation for high-dimensional variable selection
• SIS R package
• nproc R package
• RAMP R package
• Teaching Using Zoom and Ipad Pencil
• Model Selection for High Dimensional Quadratic Regression via Regularization
• Neyman-Pearson classification algorithms and NP receiver operating characteristics
• Nonparametric Independence Screening via Favored Smoothing Bandwidth
• Pairwise Covariates-adjusted Block Model for Community Detection
• Penalized weighted least absolute deviation regression
• SIS: An R Package for Sure Independence Screening in Ultrahigh-Dimensional Statistical Models
• Binary Switch Portfolio
• Discussion on 'Random-projection ensemble classification' by Cannings and Samworth
• How Many Communities Are There?
• JDINAC: joint density-based non-parametric differential interaction network analysis and classification using high-dimensional sparse omics data
• Post selection shrinkage estimation for high-dimensional data analysis
• Regularization After Marginal Learning for Ultra-High Dimensional Regression Models
• A survey on Neyman-Pearson classification and suggestions for future research
• Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification
• Neyman-Pearson Classification under High-Dimensional Settings
• Tuning-parameter selection in regularized estimations of large covariance matrices
• Functional and Parametric Estimation in a Semi-and Nonparametric Model with Application to Mass-Spectrometry Data
• APPLE: Approximate Path for Penalized Likelihood Estimators
• Modified Cross-Validation for LASSO Penalized High-Dimensional Linear Models
• Regularized principal components of heritability
• A conversation with Jianqing Fan
• A road to classification in high dimensional space: the regularized optimal affine discriminant
• Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models
• High-dimensional Statistical Learning and Nonparametric Modeling
• High-dimensional variable selection for Cox's proportional hazards model
• Nonparametric estimation of genewise variance for microarray data
• Discussion on 'Nonparametric Prediction in Measurement Error Models' by Carroll, Delaigle, and Hall
• Local quasi-likelihood with a parametric guide