## #Statistics

2021

Introduction to Bayesian Statistics

Jan 13

2020

Eigenvalues and Eigenvectors

Nov 18

Spectral Analysis

Nov 17

Quadratic Form

Nov 04

Decomposition and Smoothing Methods

Nov 02

Projection Matrix

Oct 23

Matrix Trace

Oct 07

Model Fitting and Forecasting

Sep 14

ARMA Model

Sep 12

Moving Average Model

Sep 04

Autoregressive Series

Aug 28

Introduction

Aug 28

Linear Models

Apr 21

Likelihood Ratio Test

Apr 18

Optimal Tests

Apr 14

p-values

Apr 09

Statistical Decision

Apr 01

Statistical Test

Apr 01

Confidence Intervals

Feb 08

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

Brief Review Before STAT 6520

Jan 08

2019

Sampling Distribution and Limit Theorems

Dec 28

Functions of Random Variables

Dec 08

Multivariate Probability Distributions

Nov 06

Common Continuous Random Variables

Nov 01

Definitions for Discrete Random Variables

Oct 06

Common Discrete Random Variables

Oct 06

Estimation

Sep 30

Conditional Probability

Sep 26

Basic Concepts

Sep 25

Definitions for Continuous Random Variables

Sep 25

Modern Nonparametric Regression

May 08

Categorical Data

May 06

Bootstrap

May 06

Density Estimation

May 06

Correlation and Concordance

May 05

Basic Tests for Three or More Samples

May 04

Two Independent Samples

May 02

Methods for Paired Samples

Apr 29

Other Single Sample Inferences

Apr 26

Location Inference for Single Samples

Mar 26

Basic Concepts

Jan 25

Fundamentals of Nonparametric Methods

Jan 25