## #Visualization

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

Conditional Heteroscedastic Models

Nov 23

Spectral Analysis

Nov 17

Decomposition and Smoothing Methods

Nov 02

Seasonal Time Series

Oct 13

Matrix Inverse

Oct 12

Variability of Nonstationary Time Series

Oct 09

ARIMA Models

Oct 05

Linear Space of Matrices

Sep 30

Mean Trend

Sep 30

Projection

Sep 21

Definitions in Arbitrary Linear Space

Sep 14

Vector Space

Aug 31

Introduction

Aug 28

2019

Density Estimation

May 06