#Estimation

2021
A Bayesian Perspective on Missing Data Imputation
Apr 26
Bayesian Generalized Linear Models
Apr 19
Penalized Linear Regression and Model Selection
Apr 12
Bayesian Linear Regression
Apr 05
Hierarchical Models
Mar 29
Metropolis-Hastings Algorithms
Mar 22
The Normal Model in a Two Parameter Setting
Mar 15
Bayesian Inference for the Normal Model
Feb 22
Monte Carlo Sampling
Feb 15
Bayesian Inference for the Poisson Model
Feb 08
Bayesian Inference for the Binomial Model
Jan 25
2020
Optimal Unbiased Estimator
Feb 02
Sufficiency
Jan 30
Maximum Likelihood Estimator
Jan 29
The Method of Moments
Jan 28
Consistency
Jan 27
Bias and Variance
Jan 25
2019
Estimation
Sep 30