W
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ard
A
traveler with endless curiosity
, who fell into the ocean of statistics, tries to write down
his ideas and notes
to save himself.
Categories
Note (261)
Report (20)
Memo (40)
Idea (1)
Software (1)
Course (3)
Review (1)
ICSA-2019 (6)
Seminar (4)
JSM-2024 (4)
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 Tree
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