WeiYa's Work Yard

Archive

• 12-13-2024 FDR Control for Byzantine Machines
• 12-13-2024 FDR Control under General Dependence via Symmetrization
• 12-10-2024 Personalized Federated Learning with Robust and Sparse Regressions
• 12-10-2024 Biomarker Variability in Joint Model
• 12-09-2024 Derandomised Knockoffs from E-values
• 12-05-2024 Derandomised Knockoffs from E-values
• 11-22-2024 Task-Agnostic Machine-Learning-Assisted Inference
• 11-22-2024 Review on Normalizing Flows
• 11-12-2024 C-SIDE for Cell-type-specific Spatial DE
• 11-04-2024 spaCRT: saddlepoint approximation-based conditional randomization test
• 11-01-2024 Benchopt: Benchmarks for ML Optimizations
• 10-04-2024 XBART: Accelerated Bayesian Additive Regression Trees
• 09-10-2024 scDRS: single-cell disease relevance score
• 09-10-2024 Guarantees of Lloyd’s Algorithm
• 08-29-2024 Data Thinning for Convolution-Closed Distributions
• 08-05-2024 Data Fission
• 08-05-2024 Watermarks in Large Language Models
• 08-05-2024 Training in Large Language Models
• 08-05-2024 Perference Matching in RLHF
• 07-30-2024 Talagrand Concentration
• 07-04-2024 Approximating Bayes
• 06-07-2024 Conformal Prediction for Single-cell Spatial Transcriptomics
• 05-23-2024 GhostKnockoffs: Only Summary Statistics
• 04-30-2024 Niche DE
• 04-20-2024 Model-X Knockoffs
• 04-17-2024 Conditional Independence Test in Single-cell Multiomics
• 04-12-2024 Test Difference for A Single Feature
• 04-12-2024 Selective Inference for K-means
• 03-26-2024 Comparisons of transformations for single-cell RNA-seq data
• 02-24-2024 sctransform: Normalization using Regularized Negative Binomial Regression
• 02-20-2024 Causal Inference on Distribution Functions
• 02-09-2024 BLiP: Bayesian Linear Programming
• 02-08-2024 Post-clustering Inference under Dependency
• 02-08-2024 Bipartitle eQTL Network Construction
• 02-08-2024 Selective Inference for Hierarchical Clustering
• 02-07-2024 Contrasting Genetic Architectures using Fast Variance Components Analysis
• 01-31-2024 Joint Model in High Dimension
• 01-31-2024 BAMLSS: Flexible Bayesian Additive Joint Model
• 01-26-2024 Effective Gene Expression Prediction
• 01-24-2024 Edgeworth Expansion
• 01-23-2024 t-Test for Mixture Normal Data
• 01-22-2024 Fine-mapping from Summary Data with SuSiE
• 01-22-2024 SuSiE: Sum of Single Effects Model
• 01-19-2024 Statistical Learning and Selective Inference
• 01-19-2024 Exact Post-Selection Inference for Sequential Regression Procedures
• 01-15-2024 FDR Control in GLM
• 01-10-2024 MMRM: Mixed-Models for Repeated Measures
• 01-06-2024 One-way Matching with Low Rank
• 12-08-2023 CountSplit for scRNA Data
• 12-04-2023 Uncertainty of Pseudotime Trajectory
• 12-04-2023 ClusterDE: a post-clustering DE method
• 11-26-2023 Approximation to Log-likelihood of Nonlinear Mixed-effects Model
• 11-25-2023 Hierarchical Multi-label Contrastive Learning
• 11-20-2023 Hierarchical Multi-Label Classification
• 11-16-2023 Consistent Probabilities along GO Structure
• 10-13-2023 scHOT: Investigate higher-order interactions in single-cell data
• 09-22-2023 Constrained Smoothing and Out-of-range Prediction using P-splines
• 09-21-2023 An Iterative Procedure for Shape-constrained Smoothing using Smoothing Splines
• 09-21-2023 Shape-Constrained Estimation Using Nonnegative Splines
• 09-21-2023 Fast and Flexible methods for monotone polynomial fitting
• 09-21-2023 Confidence Intervals of Smoothed Isotonic Regression
• 09-14-2023 Lamian: Differential Pseudotime Analysis
• 09-14-2023 condiments: Trajectory Inference across Multiple Conditions
• 09-14-2023 In-Context Learning via Transformers
• 08-28-2023 Six Statistical Senses
• 07-31-2023 tradeSeq: Trajectory-based differential expression analysis for single-cell sequencing data
• 07-27-2023 PseudotimeDE: Differential Gene Expression along Cell Pseudotime
• 07-27-2023 scMDC: Single-cell Multi-omics Data Clustering Analysis
• 07-14-2023 Benchmarking Algorithms for Gene Regulatory Network Inference
• 07-13-2023 Cell type-specific and disease-associated eQTL in the human lung
• 07-10-2023 Cluster Analysis of Transcriptomic Datasets of IPF
• 07-10-2023 XGBoost for IPF Biomarker
• 06-30-2023 Single Cell Generative Pre-trained Transformer
• 06-29-2023 Deep Generative Modeling for Single-cell Transcriptomics
• 06-11-2023 Time-varying Group Sparse Additive Model for GWAS
• 06-11-2023 fGWAS: Dynamic Model for GWAS
• 06-11-2023 GWAS of Longitudinal Trajectories at Biobank Scale
• 05-05-2023 C-index for Time-varying Risk
• 04-21-2023 Age-dependency of PRS for Prostate Cancer
• 03-28-2023 Cox Models with Time-Varying Covariates vs Time-Varying Coefficients
• 03-28-2023 Model Selection for Cox Models with Time-Varying Coefficients
• 02-10-2023 Predictive Degrees of Freedom
• 01-24-2023 Tutorial on Polygenic Risk Score
• 12-28-2022 Similarity Network Fusion
• 12-15-2022 LD Score Regression
• 11-21-2022 First Glance at KEGGgraph
• 11-12-2022 Joint Local False Discovery Rate in GWAS
• 11-04-2022 Differentiable Sorting and Ranking
• 10-31-2022 Joint Bayesian Variable and DAG Selection
• 10-30-2022 Integrative Bayesian Analysis of High-dimensional Multiplatform Genomics Data
• 10-29-2022 Bayesian Hierarchical Varying-Sparsity Regression Models with Application to Cancer Proteogenomics.
• 10-12-2022 Simultaneous Estimation of Cell Type Proportions and Cell Type-specific Gene Expressions
• 10-10-2022 scDesign3: A Single-cell Simulator
• 10-09-2022 ADAM and AMSGrad for Stochastic Optimization
• 10-08-2022 Single-cell Graph Neural Network
• 10-06-2022 Contrastive Learning: A Simple Framework and A Theoretical Analysis
• 10-02-2022 Joint Model of Longitudinal and Survival Data
• 09-20-2022 Debiased Inverse-Variance Weighted Estimator in Mendelian Randomization
• 08-25-2022 Multicenter IPF-PRO Registry Cohort
• 07-21-2022 Fitting to Future Observations
• 07-15-2022 Machine Learning for Multi-omics Data
• 07-14-2022 Review on Multi-omics Data
• 07-04-2022 Monotone Multi-Layer Perceptron
• 05-11-2022 Test of Monotonicity by Calibrating for Linear Functions
• 04-23-2022 Test of Monotonicity and Convexity by Splines
• 04-23-2022 Test of Monotonicity by U-processes
• 04-20-2022 Monotonicity in Asset Returns
• 04-20-2022 Test of Monotonicity
• 04-07-2022 Big Data Paradox
• 03-30-2022 Adaptive Ridge Estimate
• 03-25-2022 Mixture of Location-Scale Families
• 03-25-2022 Scale Mixture Models
• 03-24-2022 Prediction Risk for the Horseshoe Regression
• 03-22-2022 Estimation of Location and Scale Parameters of Continuous Density
• 03-22-2022 Equivariance
• 03-22-2022 Applications with Scale Parameters
• 03-14-2022 Leave-one-out CV for Lasso
• 01-16-2022 Neuronized Priors for Bayesian Sparse Linear Regression
• 01-16-2022 Empirical Bayes
• 01-12-2022 Magnetic Field Orientations in Star Formation
• 12-14-2021 Generalizing Ridge Regression
• 12-13-2021 Gaussian Processes for Regression
• 12-07-2021 Additive Model with Linear Smoother
• 12-03-2021 Asymptotics of Cross Validation
• 12-01-2021 Review on Random Matrix Theory
• 11-22-2021 Probabilistic Principal Curves
• 11-21-2021 Regularization-Free Principal Curves
• 11-19-2021 Invariant Risk Minimization
• 11-19-2021 Causal Inference by Invariant Prediction
• 11-18-2021 Infinite Relational Model
• 11-17-2021 Multidimensional Monotone Bayesian Additive Regression Trees
• 11-16-2021 Debiased ML via NN for GLM
• 11-10-2021 Biclustering on Gene Expression Data
• 11-09-2021 Asymptotic Properties of High-Dimensional Random Forests
• 10-20-2021 Bayesian Leave-One-Out Cross Validation
• 10-11-2021 Benign Overfitting in Linear Regression
• 10-11-2021 Multiple Descent of Minimum-Norm Interpolants
• 09-25-2021 Exploring DNN via Layer-Peeled Model
• 09-22-2021 Conformal Inference
• 09-22-2021 Generative Bootstrap/Multi-purpose Samplers
• 09-16-2021 Bayesian Sparse Multiple Regression
• 09-16-2021 Cross-Validation for High-Dimensional Ridge and Lasso
• 07-05-2021 Local Tracklets Filtering and Global Tracklets Association
• 07-05-2021 Multiple Object Tracking via Minimizing Energy
• 06-29-2021 Knowledge Graph and Electronic Medical Records
• 06-12-2021 Self-organized Maps of Document Collections
• 06-10-2021 Biomedical Named Entity Recognition
• 06-10-2021 Summarize Medical Conversations
• 06-10-2021 Word Segmentation and Medical Concept Recognition for Chinese Medical Texts
• 06-03-2021 Unsupervised Multi-granular Chinese Word Segmentation via Graph Partition
• 05-27-2021 End-to-End Instance Segmentation
• 05-26-2021 A pHMM Algorithm for Correcting Long Reads
• 05-22-2021 Permutation Tests and Randomization Tests
• 05-11-2021 Hypothesis Testing on A Nuisance Parameter
• 05-10-2021 Multivariate Adaptive Regression Splines
• 05-03-2021 Generalized Degrees of Freedom
• 04-25-2021 Instance Segmentation with Cosine Embeddings
• 03-13-2021 Star Formation
• 03-09-2021 Monetone B-spline Smoothing
• 12-19-2020 FDR Control via Data Splitting
• 11-12-2020 Sequence Alignment in EHR
• 11-07-2020 Efficient ICP Variants
• 11-07-2020 Iterative Closest Point
• 11-05-2020 Robust Registration of 2D and 3D Point Sets
• 09-28-2020 Principal Curves
• 09-24-2020 Particle Tracking as Linear Assignment Problem
• 08-27-2020 Global Tracking via the Viterbi Algorithm
• 08-21-2020 An objective comparison of cell-tracking algorithms
• 07-30-2020 Noise Adaptive Group Testing
• 06-08-2020 Eleven Challengs in Single Cell Data Science
• 05-31-2020 Survey on Time Series Change Points
• 04-30-2020 Internal migration and transmission dynamics of tuberculosis
• 04-26-2020 CFPCA for Human Movement Data
• 04-25-2020 Robust Forecasting by Functional Principal Component Analysis
• 04-25-2020 Survey on Functional Principal Component Analysis
• 03-05-2020 Bootstrap Sampling Distribution
• 02-29-2020 Common Functional Principal Components
• 02-28-2020 Common Principal Components
• 02-24-2020 Bernstein-von Mises Theorem
• 02-22-2020 Equicorrelation Matrix
• 02-20-2020 Multiple Isotonic Regression
• 02-10-2020 Statistical Inference with Unnormalized Models
• 01-21-2020 Registration Problem in Functional Data Analysis
• 01-17-2020 Generalized Matrix Decomposition
• 01-16-2020 Rademacher Complexity
• 01-15-2020 Classification with Imperfect Training Labels
• 01-11-2020 NGS for NGS
• 01-09-2020 Concentration Inequality for Machine Learning
• 01-08-2020 Surrogate Splits in Classification and Regression Trees
• 01-05-2020 Gradient-based Sparse Principal Component Analysis
• 01-02-2020 DNA copy number profiling: from bulk tissue to single cells
• 12-21-2019 Quantitative Genetics
• 12-20-2019 CEASE
• 12-17-2019 Group Inference in High Dimensions
• 12-17-2019 Lagrange Multiplier Test
• 12-12-2019 Conditional Quantile Regression Forests
• 12-10-2019 Quantile Regression Forests
• 12-06-2019 Fantastic Generalization Measures and Where to Find Them
• 12-04-2019 Combining $p$-values in Meta Analysis
• 12-04-2019 Controlling bias and inflation in EWAS/TWAS
• 12-02-2019 Union-intersection tests and Intersection-union tests
• 11-19-2019 Gaussian DAGs on Network Data
• 11-12-2019 Active Contours
• 11-04-2019 Multivariate Mediation Effects
• 11-01-2019 The Cost of Privacy
• 11-01-2019 MM algorithm for Variance Components Models
• 10-31-2019 Genetic Relatedness in High-Dimensional Linear Models
• 10-31-2019 Model-based Approach for Joint Analysis of Single-cell data
• 10-31-2019 Partial Least Squares for Functional Data
• 10-29-2019 Generalized Functional Linear Models with Semiparametric Single-index Interactions
• 10-24-2019 Isotropic vs. Anisotropic
• 10-10-2019 Noise Outsourcing
• 10-08-2019 Linear Regression with Partially Shuffled Data
• 10-05-2019 Sub Gaussian
• 09-30-2019 Kernel Ridgeless Regression Can Generalize
• 09-29-2019 Optimality for Sparse Group Lasso
• 09-24-2019 ABC for Socks
• 09-20-2019 Multiple human tracking with RGB-D data
• 09-20-2019 Functional PCA
• 09-18-2019 Exponential Twisting in Importance Sampling
• 09-17-2019 Feature Annealed Independent Rules
• 09-17-2019 Sparse LDA
• 09-09-2019 Basic of $B$-splines
• 09-09-2019 Likelihood-free inference by ratio estimation
• 09-08-2019 Debiased Lasso
• 08-26-2019 Optimal estimation of functionals of high-dimensional mean and covariance matrix
• 08-16-2019 Interior-point Method
• 08-16-2019 Dantzig Selector
• 08-05-2019 Additive Bayesian Variable Selection
• 07-23-2019 Reluctant Interaction Modeling
• 07-23-2019 The Simplex Method
• 07-21-2019 An Adaptive Algorithm for online FDR
• 07-21-2019 High-dimensional linear mixed-effect model
• 07-19-2019 A Optimal Control Approach for Deep Learning
• 07-18-2019 Rare Variant Association Testing
• 07-17-2019 Multi-estimate extraction for SMC-PHD
• 07-17-2019 SMC-PHD Filter
• 07-16-2019 Canonical Variate Analysis
• 07-15-2019 High Dimensional Linear Discriminant Analysis
• 07-10-2019 Global data association for MOT using network flows
• 07-08-2019 TreeClone
• 07-05-2019 MLE for MTP2
• 06-28-2019 Minimax Lower Bounds
• 06-27-2019 Bayesian Conjugate Gradient Method
• 06-24-2019 Surprises in High-Dimensional Ridgeless Least Squares Interpolation
• 06-23-2019 Medicine Meets AI
• 05-28-2019 Change Points
• 05-09-2019 M-estimator
• 05-07-2019 Fourier Series
• 05-06-2019 The General Decision Problem
• 05-01-2019 Self-normalized Limit Theory and Stein's Method
• 04-20-2019 Identifiability and Estimability
• 04-15-2019 Least Squares for SIMs
• 04-15-2019 Statistical Inference for Lasso
• 04-10-2019 Multiple Tracking with Rao-Blackwellized marginal particle filtering
• 04-10-2019 Normalizing Constant
• 04-09-2019 Methods for Cell Tracking
• 04-09-2019 Tracking Multiple Interacting Targets via MCMC-MRF
• 04-08-2019 Subgradient
• 04-04-2019 Wierd Things in Mixture Models
• 04-02-2019 Coupled Minimum-Cost Flow Cell Tracking
• 04-01-2019 Soft Imputation in Matrix Completion
• 03-31-2019 Frequentist Accuracy of Bayesian Estimates
• 03-29-2019 FARM-Test
• 03-26-2019 Multiple Object Tracking
• 03-26-2019 Theoretical Results of Lasso
• 03-25-2019 Joint Summarized by Marginal or Conditional?
• 03-25-2019 Convergence rates of least squares
• 03-20-2019 Generalized Gradient Descent
• 03-19-2019 High Dimensional Covariance Matrix Estimation
• 03-15-2019 Functional Data Analysis by Matrix Completion
• 03-14-2019 Functional Data Analysis
• 03-13-2019 Distributed inference for quantile regression processes
• 03-12-2019 The Correlated Topic Model
• 03-11-2019 Tweedie's Formula and Selection Bias
• 03-08-2019 Bernstein Bounds
• 03-07-2019 Evaluate Variational Inference
• 03-07-2019 Tensor Completion
• 03-06-2019 Illustrate Path Sampling by Stan Programming
• 03-04-2019 Select Prior by Formal Rules
• 03-03-2019 Bootstrap Hypothesis Testing
• 02-25-2019 Bio-chemical Reaction Networks
• 02-23-2019 SMC for Protein Folding Problem
• 02-21-2019 Stein's Paradox
• 02-20-2019 Continuous Time Markov Chain
• 02-19-2019 Restricted Isometry Property
• 02-18-2019 Presistency
• 02-17-2019 A Bayesian Perspective of Deep Learning
• 02-16-2019 Deep Learning
• 02-15-2019 Studentized U-statistics
• 02-13-2019 Review of Composite Likelihood
• 02-13-2019 Gibbs Sampling for the Multivariate Normal
• 02-13-2019 Identification of PE Genes in Cell Cycle
• 02-12-2019 Comparisons of Three Likelihood Criteria
• 02-12-2019 The First Glimpse into Pseudolikelihood
• 01-30-2019 Calculating Marginal likelihood
• 01-28-2019 Annealed Importance Sampling
• 01-24-2019 Annealed SMC for Bayesian Phylogenetics
• 01-21-2019 The Kalman Filter and Extended Kalman Filter
• 01-19-2019 Sequential Monte Carlo Methods
• 01-18-2019 Particle Filtering and Smoothing
• 01-15-2019 PLS in High-Dimensional Regression
• 01-13-2019 Approximate $\ell_0$-penalized piecewise-constant estimate of graphs
• 01-10-2019 Reversible jump Markov chain Monte Carlo
• 01-09-2019 Reconstruct Gaussian DAG
• 01-08-2019 Link-free v.s. Semiparametric
• 01-07-2019 Jackknife and Mutual Information
• 01-06-2019 Counting Process Based Dimension Reduction Methods for Censored Data
• 01-05-2019 SIR and Its Implementation
• 01-02-2019 Small World inside Large Metabolic Networks
• 12-31-2018 Metabolic Network and Their Evolution
• 12-30-2018 Evolutionary Systems Biology
• 12-10-2018 Gibbs Sampler for Finding Motif
• 08-24-2018 Gibbs in genetics
• 08-18-2018 ECOC
• 08-07-2018 A Stochastic Model for Evolution of Metabolic Network
• 12-27-2017 Power Analysis
• 10-17-2017 Model-Free Scoring System for Risk Prediction
• 10-11-2017 Essentials of Survival Time Analysis
• 10-11-2017 Stochastic Epidemic Models
• 09-26-2017 An R Package: Fit Repeated Linear Regressions
• 09-21-2017 A Faster Algorithm for Repeated Linear Regression
• 09-18-2017 Persistence of species in the face of environmental stochasticity
• 09-08-2017 Chain-Structured Models
• 09-07-2017 Basic Principles of Monte Carlo
• 09-07-2017 The Applications of Monte Carlo
• 09-01-2017 Dynamics of Helicobacter pylori Infection
• 09-01-2017 Healthy Human Microbiome
• 08-31-2017 Dynamics of Helicobacter pylori colonization
• 08-26-2017 Restricted Boltzmann Machines
• 08-17-2017 Cox Regression
• 08-13-2017 Conjugate Gradient for Regression
• 08-09-2017 Story about P value
• 07-31-2017 Poisson Regression
• 07-30-2017 Estimate Parameters in Logistic Regression
• 07-22-2017 SMC in Biological Problems
• 07-21-2017 Metropolis Algorithm
• 07-18-2017 A Bayesian Missing Data Problem
• 07-17-2017 Model Specification
• 07-17-2017 Growing A Polymer
• 07-16-2017 Adaptive Importance Sampling
• 07-16-2017 An Illustration of Importance Sampling
• 07-11-2017 ARIMA
• 06-11-2017 SMC for Mixture Distribution
• 06-11-2017 Sequential Monte Carlo samplers
• 06-10-2017 Sequential Monte Carlo Methods
• 06-05-2017 The Normal Model
• 06-04-2017 The Gibbs Sampler
• 06-04-2017 One Parameter Models
• 05-18-2017 Illustrations of Support Vector Machines
• 05-17-2017 Ensemble Learning
• 03-17-2017 Implement of MINE
• 03-17-2017 MINE
• 03-17-2017 MICA
• 03-16-2017 Systems Genetic Approach
• 03-14-2017 Genetic network inference