07:06

Hazard Functions and Survival Functions for the Gamma Distribution

09:56

Comparing the Weibull and Lognormal Distributions

09:58

Binomial Probability Distribution Example

04:23

Writing a Logistic Function in R

07:29

AirPassengers - Time Series Plots

12:13

Principal Component Analysis with the mtcars dataset

07:26

Normal Probability Distributions Exercise - with Shaded Bell Curves

10:15

Transition Matrices for Actuarial Forecasting

05:27

Weibull Probability Distribution - Worked Example with R

11:57

Regression Analysis of Maximum Heart Rate vs Age

09:19

Weibull Distribution - Worked Example with Simulated Values

12:44

Modelling Claim Amounts with the Compound Poisson Distributions with R - Poisson and Gamma

09:04

Binomial Distribution - Quality Control Worked Example

13:41

Estimating the Poisson Rate Parameter (R for Actuarial Students)

13:43

The Log-Normal Distribution - Sample Estimates and the CLT

11:03

Exponential Distribution - Worked Example with Shaded Density Curves

08:55

The Log-Normal Distribution - Worked Example With R

13:50

The Gamma Distribution - Usage in Modelling Insurance Claims

12:03

Spearman Correlation Coefficient and Hypothesis Test with R

14:19

Analysis of Variance and Tukey's HSD pairwise comparison procedure and plots with R

13:55

Time Series Analysis - Useful Commands

06:19

Hypothesis Testing with the t.test command

08:50

Binomial Probability Distribution - Worked Example with R

08:50

Principal Component Analysis - Interest rates Data

07:16

Chi-Square Test for Independence of Categorical Variables - Worked Example

07:21

Correlation Analysis with R (with complementary graphical procedures)

11:52

Simulating The Gamma Distribution - Worked Example

12:45

Data Analysis of the AutoClaims Data Set (R for Actuarial Students - CS1B)

17:07

Binomial Interval Probabilities and the Normal Approximation of the Binomial Distribution

10:52

Julia Programming Tutorials - Ranges and the LinRange function

06:59

Poisson Random Variables - Probability Mass Function and Cumulative Distribution Function

07:58

Exponential Distribution - Simulation and MLEs

09:08

Simulating the Pareto Distribution with Inverse Transform Sampling

09:06

Bootstrap Confidence Intervals using "replicate()"

05:44

Computing Confidence Intervals For Small Sample

05:51

Kendall's Tau Correlation Coefficient - (Introduction to R for Actuarial Students)

07:03

Set Operations with Julia

10:28

Simulating the Exponential Probability Distribution (R for Actuarial Students)

06:18

Pareto Type I Distribution - Worked Example with R ( Insurance Policies)

04:08

Installing a package in Julia with "Pkg.add()"

04:09

Creating an Jupyter (IJulia) Notebook

05:14

Importing a CSV file into Julia Notebooks

16:54

Introduction to R for Actuarial Students (CS1B)

17:01

Hypothesis Testing with R - Introduction to R for Statistics and Actuarial Students (CS1B)

09:29

Introduction to R for Actuarial Students (CS1B) - Question 2

13:28

Poisson Random Variables - Checking model assumptions for Poisson random variables

05:23

Generating Random Walks with R ( for Stochastic Processes College Courses )

07:36

Markov chains with R - Deriving the steady state equilibrium vector with linear algebra functions.

04:31

Creating a Markov chain object in R

11:25

Markov Chains with R - Dublin Taxi Example

07:11

Creating Empirical CDF plots (Ogives) with ggplot2

06:09

Encoding Categorical Variables with R : The "findInterval()" function

04:17

Creating Normal Probability (QQ) plots with ggplot2

07:49

Density Plots with ggplot2

12:51

Data Analysis with R : Midwest Demographics Data - adding FIPS Codes

08:36

Ordinal Logistic Regression with Random Forest

06:26

Installing R packages from Github

06:38

Correlation Plots : Exploratory Data Analysis with R

07:29

Feature Engineering with "purrr" : Simultaneously Testing Normality

03:56

Time Series with R - Part 1 - The Air Passnegers Data Set