talks – Examined Algorithms

Multilevel Regression and Post-Stratification

Stratum Specific effect modification with Bambi

bayesian

mister p

causal inference

weighting

Structural Causal Models in PyMC

Conditionalisation Strategies and Valid Causal Inference

bayesian

causal

SCM

SEM

Talk for Workshops for Ukraine

Learning Bayesian Statistics: SEM and CFA

probability

pymc

sem

cfa

Interview on Learning Bayesian Statistics Podcast on SEM models in PyMC

Uncertainty and Causal Inference in Python

CausalPy and Quasi-Experimental Designs

bayesian

sensitivity analysis

causal inference

Working as a Data Scientist

From guessing to learning

counting

fun

histogram

Fun talk for Wyatt’s Junior infants class on working in STEM

Missing Data and Bayesian Imputation

PyData Berlin 2024 Recording

bayesian

missing data

In April 2024 I gave a talk at PyData Berlin on the usage of bayesian imputation techniques in people analytics. The Slides can be found here

Discrete Choice and Random Utility Models

PyCon 2023 Ireland Recording

bayesian

discrete choice

In November 2023 I gave a talk at PyCon Ireland on the usage of discrete choice models for the estimation of market share. The Slides can be found here

Missing Data and Bayesian Imputation with PyMC

Causal Narratives in Survey Analysis

bayesian

missing data

causal inference

Model Evaluation and Discrete Choice Scenarios

Bayesian Mixer London

bayesian

discrete choice

Non Parametric Causal Inference with PyMC

Propensity Scores, Debiased ML and Causal Mediation

bayesian

propensity scores

causal inference

Survival Regression Models in PyMC

Time to Attrition in People Analytics

bayesian

survival analysis

people analytics

Discrete Choice and Random Utility Models

bayesian

discrete choice

Tenuous Relations and Timeseries Analysis

Berlin Timeseries

bayesian

VAR

timeseries analysis