Welcome!
I am an undergraduate student studying at School of Data Science, Fudan University. My research interests include statistical learning, non-parametric statistics and high-dimensional statistics. I plan to share some topics I have been learning on this website.
Notes
Sub-Gaussian variables and empirical processes
Energy distance, maximum mean discrepancy and f-divergence
A derivation of non-central chi-square density
Transportability and data fusion in causal inference
Selected topics of spatial statistics
General topology: technical notes
Fundementals of functional analysis
Further topics in Measure Theory
An elementary proof of minimax theorem
Posts
-
Kalman Filtering
-
Vector-Valued RKHS
-
Fano’s Method
-
F-divergences
-
Proper Scoring Rules
-
Support Points
-
Bayesian Optimization for Inverse Problems
-
Global-Local Gaussian Process
-
Contextual Bandits with Confounding Bias and Missing Observations
-
Concentration of Self-Normalized Processes
-
Pessimism in Offline RL
-
Reinforcement Learning: Multi-Armed Bandit Problem with Unobserved Confounders
-
Reinforcement Learning: Markov Decision Process with Prior Causal Knowledge
-
Combining Experimental and Observational Data (II)
-
Combining Experimental and Observational Data (I)
-
Causal Inference: General Transportability
-
Causal Inference: Negative Control
-
Causal Inference: Meta-Transportability
-
Structural Causal Models (II): Selection Bias and Transportability
-
Structural Causal Models (I): Formulation and Confounding Bias
-
Spatial Statistics (VII): Karhunen-Loève Expansion
-
Spatial Statistics (VI): Kernel Ridge Regression
-
Spatial Statistics (V): Reproducing Kernel Hilbert Space
-
Spatial Statistics (IV): Kriging
-
Spatial Statistics (III): Gaussian Process
-
Spatial Statistics (II): Kernel Functions
-
Spatial Statistics (I): Random Field
subscribe via RSS