Justin Esarey

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Latest Videos

Casual Inference, or How I Learned to Stop Worrying and Love Hypothesis Testing

Casual Inference, or How I Learned to Stop Worrying and Love Hypothesis Testing

Justin Esarey

479 views·5 years ago

Scientia Talk Doubt

Scientia Talk Doubt

Justin Esarey

233 views·7 years ago

Probability and Sampling Distributions

Probability and Sampling Distributions

Justin Esarey

558 views·7 years ago

More Descriptive Statistics in R

More Descriptive Statistics in R

Justin Esarey

267 views·7 years ago

Basic Descriptive Statistics in R

Basic Descriptive Statistics in R

Justin Esarey

400 views·7 years ago

Introduction to R

Introduction to R

Justin Esarey

666 views·7 years ago

POLI 395 What is Science

POLI 395 What is Science

Justin Esarey

238 views·8 years ago

POLI 506 Parameter Expansion and Model CheckingComparison

POLI 506 Parameter Expansion and Model CheckingComparison

Justin Esarey

773 views·8 years ago

Kernel Regularized Least Squares (updated)

Kernel Regularized Least Squares (updated)

Justin Esarey

2.5K views·9 years ago

POLMETH 2016 - Roundtable on Jobs Outside Academia

POLMETH 2016 - Roundtable on Jobs Outside Academia

Justin Esarey

1.0K views·9 years ago

Metropolis-Hastings, the Gibbs Sampler, and MCMC

Metropolis-Hastings, the Gibbs Sampler, and MCMC

Justin Esarey

21.8K views·11 years ago

Basic Monte Carlo Procedures and Sampling

Basic Monte Carlo Procedures and Sampling

Justin Esarey

5.5K views·11 years ago

POLS 506 Simple Bayesian Models

POLS 506 Simple Bayesian Models

Justin Esarey

6.5K views·11 years ago

POLS 506 Lecture 1 Basic Concepts of Bayesian Inference

POLS 506 Lecture 1 Basic Concepts of Bayesian Inference

Justin Esarey

8.2K views·11 years ago

Bayes Nets (Updated)

Bayes Nets (Updated)

Justin Esarey

3.3K views·12 years ago

Instrumental Variables and Causal Inference (Updated)

Instrumental Variables and Causal Inference (Updated)

Justin Esarey

12.4K views·12 years ago

Kernel Density Estimation and Kernel Regression

Kernel Density Estimation and Kernel Regression

Justin Esarey

33.3K views·12 years ago

Ensemble Models

Ensemble Models

Justin Esarey

7.5K views·13 years ago

Fit Assessment in Binary Dependent Variable Models

Fit Assessment in Binary Dependent Variable Models

Justin Esarey

1.9K views·13 years ago

CART and Random Forest Models

CART and Random Forest Models

Justin Esarey

19.1K views·13 years ago

Neural Networks

Neural Networks

Justin Esarey

9.7K views·13 years ago

Continous Latent Variables

Continous Latent Variables

Justin Esarey

2.9K views·13 years ago

Statistical Decision Making

Statistical Decision Making

Justin Esarey

5.5K views·13 years ago

Developing the Regression Model through Error Minimization

Developing the Regression Model through Error Minimization

Justin Esarey

1.0K views·13 years ago

The Role of Assumptions in Statistical Modeling

The Role of Assumptions in Statistical Modeling

Justin Esarey

4.9K views·13 years ago

POLS 506 Bayesian and Nonparametric Statistics - Lecture 10 - Missing Data and Multiple Imputation

POLS 506 Bayesian and Nonparametric Statistics - Lecture 10 - Missing Data and Multiple Imputation

Justin Esarey

10.9K views·13 years ago

Matching and Causal Inference

Matching and Causal Inference

Justin Esarey

6.2K views·13 years ago

Nonparametric Uncertainty Estimation and Bootstrapping

Nonparametric Uncertainty Estimation and Bootstrapping

Justin Esarey

5.1K views·13 years ago

POLS 506 Bayesian and Nonparametric Statistics - Lecture 6 - Item Response Theory

POLS 506 Bayesian and Nonparametric Statistics - Lecture 6 - Item Response Theory

Justin Esarey

3.3K views·13 years ago

POLS 506 Bayesian and Nonparametric Statistics - Extra - Sampling with JAGS

POLS 506 Bayesian and Nonparametric Statistics - Extra - Sampling with JAGS

Justin Esarey

4.8K views·13 years ago

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