W
ei
Y
a's
W
ork
Y
ard
A
traveler with endless curiosity
, who fell into the ocean of statistics, tries to write down
his ideas and notes
to save himself.
Archive
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