2024

Bayesian CUPED & Sensitivity Analysis 2024-10-29

Electricity Demand Forecast: Dynamic Time-Series Model with Prior Calibration 2024-10-07

Electricity Demand Forecast: Dynamic Time-Series Model 2024-10-06

From Pyro to NumPyro: Forecasting Hierarchical Models - Part II 2024-10-05

From Pyro to NumPyro: Forecasting Hierarchical Models - Part I 2024-10-03

From Pyro to NumPyro: Forecasting a univariate, heavy tailed time series 2024-10-01

Hierarchical Pricing Elasticity Models 2024-08-01

Multilevel Elasticities for a Single SKU - Part III. 2024-07-19

Hierarchical Exponential Smoothing Model 2024-06-07

Demand Forecasting with Censored Likelihood 2024-04-21

A Conceptual and Practical Introduction to Hilbert Space GPs Approximation Methods 2024-04-18

Bayesian Censoring Data Modeling 2024-02-26

Zero-Inflated TSB Model 2024-02-20

TSB Method for Intermittent Time Series Forecasting in NumPyro 2024-02-17

Croston's Method for Intermittent Time Series Forecasting in NumPyro 2024-02-15

Notes on an ARMA(1, 1) Model with NumPyro 2024-02-13

Notes on Exponential Smoothing with NumPyro 2024-02-11

Media Mix Model and Experimental Calibration: A Simulation Study 2024-02-04

Cohort Revenue Retention Analysis with Flax and NumPyro 2024-01-08

Flax and NumPyro Toy Example 2024-01-05

Time Series Modeling with HSGP: Baby Births Example 2024-01-02

2023

Non-Parametric Product Life Cycle Modeling 2023-12-10

NumPyro with Pathfinder 2023-12-04

Causal Bandits: Causality, Marketing & Simulations 2023-11-19

Multilevel Elasticities for a Single SKU - Part II. 2023-11-13

Multilevel Elasticities for a Single SKU - Part I. 2023-08-10

Time-Varying Regression Coefficients via Hilbert Space Gaussian Process Approximation 2023-07-05

Using Data Science for Bad Decision-Making: A Case Study 2023-06-16

Regression Discontinuity with GLMs and Kernel Weighting 2023-06-10

ATE Estimation for Count Data 2023-06-07

ATE Estimation with Logistic Regression 2023-06-04

Bayesian Methods in Modern Marketing Analytics Webinar with PyMC Labs 2023-05-31

How to vectorize an scikit-learn transformer over a numpy array? 2023-05-01

Counting the Number of Kitas per PLZ in Berlin using a Hierarchical Bayesian Model 2023-04-28

Simple Hierarchical Model with NumPyro: Cookie Chips Example 2023-04-24

Experimentation, Non-Compliance and Instrumental Variables with PyMC 2023-02-20

Cohort Revenue & Retention Analysis: A Bayesian Approach 2023-01-23

Cohort Retention Analysis with BART 2023-01-02

2022

A Simple Cohort Retention Analysis in PyMC 2022-12-20

Geo-Experimentation via Time Based Regression in PyMC 2022-12-01

Offline Campaign Analysis Measurement: A journey through causal impact, geo-experimentation and synthetic control 2022-10-25

Scikit-Learn Example in PyMC: Gaussian Process Classifier 2022-09-24

Synthetic Control in PyMC 2022-08-09

Modeling Short Time Series with Prior Knowledge in PyMC 2022-07-19

Time-Varying Regression Coefficients via Gaussian Random Walk in PyMC 2022-07-03

Data Talks Club: Machine Learning in Marketing 2022-05-17

PyConDE & PyData Berlin 2022: Introduction to Uplift Modeling 2022-04-11

Gamma-Gamma Model of Monetary Value in PyMC 2022-03-29

BG/NBD Model in PyMC 2022-03-03

Media Effect Estimation with PyMC: Adstock, Saturation & Diminishing Returns 2022-02-11

Media Effect Estimation with Orbit's KTR Model 2022-02-04

2021

Unobserved Components Model as a Bayesian Model with PyMC 2021-12-10

ISLR2 - Survival Analysis Lab (lifelines) 2021-09-01

Exploring Tools for Interpretable Machine Learning 2021-07-01

Feature Engineering: patsy as FormulaTransformer 2021-05-01

GLM in PyMC3: Out-Of-Sample Predictions 2021-01-04

Gaussian Processes for Time Series Forecasting with PyMC3 2021-01-02

2020

Simple Bayesian Linear Regression with TensorFlow Probability 2020-10-06

Open Data: Berlin Kitas 2020-09-19

A Simple Hamiltonian Monte Carlo Example with TensorFlow Probability 2020-07-24

Regression Analysis & Visualization 2020-06-26

A Glimpse into TensorFlow Probability Distributions 2020-06-16

Disease Spread Simulation (Animation) 2020-04-28

Getting Started with Spectral Clustering 2020-04-04

The Volume of the d-Ball via Monte Carlo Simulation 2020-02-24

Forecasting Weekly Data with Prophet 2020-02-21

Exploring TensorFlow Probability STS Forecasting 2020-02-11

Intro ML in Production: Flask, Docker and GitHub Actions 2020-01-28

Drawing Manifolds in LaTeX with TikZ 2020-01-10

Open Data: Germany Maps Viz 2020-01-07

2019

The Graph Laplacian & Semi-Supervised Clustering 2019-12-05

The Lapacian on the 2-Torus 2019-10-13

PyData Berlin 2019: Gaussian Processes for Time Series Forecasting (scikit-learn) 2019-10-10

satRday Berlin 2019: Remedies for Severe Class Imbalance 2019-06-15

Seasonal Bump Functions 2019-04-11

An Introduction to Gaussian Process Regression 2019-04-08

Bayesian Regression as a Gaussian Process 2019-04-01

Sampling from a Multivariate Normal Distribution 2019-03-23

Dockerize a ShinyApp 2019-03-02

The Spectral Theorem for Matrices 2019-02-02

Movie Plots Text Generation with Keras 2019-01-13

Exploring the Curse of Dimensionality - Part II. 2019-01-01

2018

Text Mining, Networks and Visualization: Plebiscito Tweets 2018-12-20

Exploring the Curse of Dimensionality - Part I. 2018-12-09

From Pelican to Blogdown 2018-12-02

\(S^1\)-Equivariant Dirac operators on the Hopf Fibration 2018-11-11

Introduction to R Plumber : Expose a Caret model to a web API 2018-10-12

Circle Radius Fit for a Cloud of Points 2018-09-09

From Bachelor to PhD: Geometric and Topological Methods for Quantum Field Theory 2018-08-02

PyData Berlin 2018: On Laplacian Eigenmaps for Dimensionality Reduction 2018-07-08

2017

Probability that a given observation is part of a bootstrap sample? 2017-11-29

Induced Dirac-Schrödinger operators on semi-free circle quotients 2017-11-11

Introduction to Bayesian Modeling with PyMC3 2017-08-13

Web scraping with Beautiful Soup: Plebiscito Colombia (October 2nd) 2017-07-09

The Dirac operator on the 2-sphere 2017-06-29

Python Exercise: Distance to Rectangle 2017-06-28