When Actuarial Science Collides with Data Science
Regularised Regression with glmnet in R
Lasso your predictors, ridge your bets, and stretch into elastic net with glmnet in R.
Confidence Interval
Confidence intervals, but make them less scary: what they mean, when to use them, and how to calculate them in R with penguins.
Open vs Closed LLMs
Open vs closed LLMs, decoded without the corporate fog: what they are, why the internet keeps arguing about them, and how to think about the trade-offs without losing the plot.
Causal Forest: Finding Who Benefits Most From a Treatment
Getting to the root of treatment effects, one causal tree at a time.
Principal Component Analysis
A practical introduction to PCA: how it works, when it is useful, what to watch out for, and how to implement it in R.
Negative Binomial Regression for Count Data
When counts get too negative for Poisson, negative binomial regression can help you model the extra dispersion without losing count.
Experimental Design - Concepts
A casual walkthrough of the main ideas behind experimental design: treatments, randomisation, replication, blocking, confounding, and validity.
Hyperparameter tuning - Tune Race, Win loss, and Sim anneal
Multivariate Analysis Of Variance (MANOVA)
Partial Least Square
Why did the partially blind man fall into the well? He couldn’t see that well.
Latent Profile Analysis
I have many hidden talents...Problem is I don’t know where they are
Latent Class Analysis
Finding the unseen
Zero-Inflated Poisson
Too many zeros!
Survival Analysis in Python
My first Python post! Still surviving!
Conjoint Analysis in R
A practical guide to estimating, coding, and interpreting a simple full-profile conjoint analysis in R.
Conjoint Analysis - Concepts
Going back to the concepts
Machine Learning on Time Series
Ordinal Regression
When we take into account the inherent ranking
Discriminant analysis
Differentiating the groups!
Model Performance on Survival Models
How do you survival a fall without a parachute? Just like any other season
Causal Inference - Instrumental Variable
Finding a close enough variable
Support Vector Machine
Don’t trust stairs, they’re always up to something, but at least they support you step by step.
Different Types of ANOVA
1, 2, 3, Go!
Causal Inference - Regression Discontinuity
Causal Inference - Match
Are we similar?
Survival Analysis with Gradient Boosting Models
A practical walk-through of fitting and interpreting a GBM survival model in R.
Causal Inference - Sensitivity Testing (Sensemakr)
Causal Inference - Inverse Probability Weighting
Causal Inference - Difference-in-differences
Recurrent Events
When its no longer a one-off event
Multinomial Logistic Regression
When the target is more than 2 classes
Causal Inference - Weight
Causal Inference - Directed Acyclic Graph
Poisson Regression
A fish regression? Google translate from French to English to check what "poisson" means
Boruta
Not Boruto, also not burrito
Multi-state Risk
When the survival analysis is no longer straightforward
Logistic Regression on Aggregated Data
Different methods but give the same results
Prophet
Not the usual "Prophet" actuaries refer to
Encoding Categorical Variables Using GLM
Tweedie Distribution
Wait, are you referring to Tweety bird?
Accumulated Local Effect (ALE)
Local Moran's I
Are the selected locations different from each other?
Linear Mixed Effect Model
When all are being "mixed" together
Global Spatial Autocorrelation
Proportion Hazard Assumption under Cox Model
Have you checked the assumption?
Distance-based Spatial Weights
Part 2 - Journey to find the "neighbours"
K-proto Clustering
Sorting numeric and categorical data at one go
Survival Decision Tree
Treeeeeeeeeeeee
Contiguity-based Spatial Weights
Are you my "neighbours"?
Cox Proportional Hazards Model
A practical introduction to one of the most widely used methods in survival analysis
Survival Modelling - Log Rank Test
Are the survival curves same? Yes or no?
Reading PDF into R
Time Series Decomposition
Breaking down to the "lego block" of time series
Exponential Smoothing
Smooth the time series out!
Visualizing Time Series
It's about time
Generalized Linear Model
Back to Actuaries Most Beloved Model
Survival Modelling - Kaplan-Meier
In the long run we are all dead - John Maynard Keynes
Fairness
Is the model judgement fair?
Bayes Optimisation
When the prior info is put to good use
Hyperparameters Tuning With Regular Search and Non-regular Search
Define the domain to search for the hyperparameter combination that gives the best model performance
Partial Dependence Plot (PDP)
If all else being equal, what is the effect of the selected variable?
Local Interpretable Model-Agnostic Explanations (LIME)
Don't worry, you won't feel any sourness while using the method
Association Rules
Revealing the hidden "rules" within the data
Point Pattern Analysis
How do you know whether the objects are randomly dispersed within an area?
Topic Modeling
Discovering the topics within the text data
Text Analytics 101
Finding the "gold" within the text
K-Means Clustering
Why don't we call this algorithm as k-average algorithm? Because it's mean.
Clustering
Mirror, mirror on the wall, which data are similar to one another?
Transfer Learning with Convolution Neural Network
Why learn from scratch when you can leverage the existing work?
Naive Bayes Classifier
When the "naive" one outperform the conventional
Model Stacking
When the sum of all component is greater than individual component
Data Wrangling - The Quest to Tame The 'Beast'
Rawwwwwwwwww!
The Unconventional Path
Journey of Joining the "Dark" Side