Categories | WeiYa's Work Yard

Categories

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