6:01A Random Walk - introduction and properties
Intro
A 6-minute video from Ben Lambert: “A Random Walk - introduction and properties”.
Ben Lambert
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6:01
4:04A proof of the weak law of large numbers
A 4-minute video from Ben Lambert: “A proof of the weak law of large numbers”.
7:53ARMA(1,1) processes - introduction and examples
Intro
A 8-minute video from Ben Lambert: “ARMA(1,1) processes - introduction and examples”.
4:53Adjusted R squared
A 5-minute video from Ben Lambert: “Adjusted R squared”.
3:23Aesthetics and geoms: biological analogy
A 3-minute video from Ben Lambert: “Aesthetics and geoms: biological analogy”.
4:04An Introduction to the Asymptotic Behaviour of Estimators
A 4-minute video from Ben Lambert: “An Introduction to the Asymptotic Behaviour of Estimators”.
6:02An Introduction to the matrix form of econometrics (old version)
A 6-minute video from Ben Lambert: “An Introduction to the matrix form of econometrics (old version)”.
9:41An example of how an improper prior leads to an improper posterior
A 10-minute video from Ben Lambert: “An example of how an improper prior leads to an improper posterior”.
18:58An introduction to Gibbs sampling
A 19-minute video from Ben Lambert: “An introduction to Gibbs sampling”.
6:50An introduction to Jeffreys priors - 1
A 7-minute video from Ben Lambert: “An introduction to Jeffreys priors - 1”.
12:45An introduction to Jeffreys priors - 2
A 13-minute video from Ben Lambert: “An introduction to Jeffreys priors - 2”.
6:16An introduction to Jeffreys priors - 3
A 6-minute video from Ben Lambert: “An introduction to Jeffreys priors - 3”.
8:08An introduction to Moving Average Order One processes
Intro
A 8-minute video from Ben Lambert: “An introduction to Moving Average Order One processes”.
7:09An introduction to central limit theorems
Intro
A 7-minute video from Ben Lambert: “An introduction to central limit theorems”.
6:21An introduction to continuous conditional probability distributions
Intro
A 6-minute video from Ben Lambert: “An introduction to continuous conditional probability distributions”.
10:30An introduction to continuous marginal probability distributions
Intro
A 10-minute video from Ben Lambert: “An introduction to continuous marginal probability distributions”.
8:15An introduction to continuous probability distributions.
Intro
A 8-minute video from Ben Lambert: “An introduction to continuous probability distributions.”.
9:10An introduction to discrete conditional probability distributions.
Intro
A 9-minute video from Ben Lambert: “An introduction to discrete conditional probability distributions.”.
8:37An introduction to discrete marginal probability distributions
Intro
A 9-minute video from Ben Lambert: “An introduction to discrete marginal probability distributions”.
6:16An introduction to discrete probability distributions
Intro
A 6-minute video from Ben Lambert: “An introduction to discrete probability distributions”.
14:19An introduction to importance sampling
Intro
A 14-minute video from Ben Lambert: “An introduction to importance sampling”.
13:43An introduction to importance sampling - optimal importance distributions
A 14-minute video from Ben Lambert: “An introduction to importance sampling - optimal importance distributions”.
11:49An introduction to inverse transform sampling
Intro
A 12-minute video from Ben Lambert: “An introduction to inverse transform sampling”.
8:33An introduction to mutual information
Intro
A 9-minute video from Ben Lambert: “An introduction to mutual information”.
26:04An introduction to numerical integration through Gaussian quadrature
Intro
A 26-minute video from Ben Lambert: “An introduction to numerical integration through Gaussian quadrature”.
10:25An introduction to reference priors
Intro
A 10-minute video from Ben Lambert: “An introduction to reference priors”.
10:37An introduction to rejection sampling
Intro
A 11-minute video from Ben Lambert: “An introduction to rejection sampling”.
8:27An introduction to the Bernoulli and binomial distributions
Intro
A 8-minute video from Ben Lambert: “An introduction to the Bernoulli and binomial distributions”.
10:03An introduction to the Beta distribution
Intro
A 10-minute video from Ben Lambert: “An introduction to the Beta distribution”.
9:57An introduction to the Poisson distribution - 1
Intro
A 10-minute video from Ben Lambert: “An introduction to the Poisson distribution - 1”.
10:45An introduction to the Poisson distribution - 2
Intro
A 11-minute video from Ben Lambert: “An introduction to the Poisson distribution - 2”.
11:28An introduction to the Random Walk Metropolis algorithm
A 11-minute video from Ben Lambert: “An introduction to the Random Walk Metropolis algorithm”.
6:02An introduction to the concept of a sufficient statistic
Intro
A 6-minute video from Ben Lambert: “An introduction to the concept of a sufficient statistic”.
17:28An introduction to the gamma distribution
Intro
A 17-minute video from Ben Lambert: “An introduction to the gamma distribution”.
5:56Asymptotic assumptions for time series least squares
A 6-minute video from Ben Lambert: “Asymptotic assumptions for time series least squares”.
5:01Augmented Dickey Fuller tests
A 5-minute video from Ben Lambert: “Augmented Dickey Fuller tests”.