InTowards Data SciencebyDr. Robert KüblerConvenient Bayesian Marketing Mix Modeling With PyMC MarketingA new and shiny library from the PyMC team worth trying outApr 13, 20235Apr 13, 20235
InTowards Data SciencebyDr. Robert KüblerLearning to Rank the Bayesian WayImplement the Bradley–Terry model in PyMCAug 9, 20226Aug 9, 20226
InTowards Data SciencebyDr. Robert KüblerBayesian Hierarchical Marketing Mix Modeling in PyMCLearn how to build MMMs for different countries the right wayJul 25, 20227Jul 25, 20227
InTowards Data SciencebyDr. Robert KüblerBayesian Marketing Mix Modeling in Python via PyMCEstimate the saturation, carryover, and other parameters all at once, including their uncertaintyDec 30, 202110Dec 30, 202110
InTowards Data SciencebyDr. Robert KüblerRockin‘ Rolling Regression in Python via PyMCLearn how to deal with varying parametersDec 3, 20216Dec 3, 20216
InTowards Data SciencebyDr. Robert KüblerBayesian Hierarchical Modeling in PyMCCuring your model’s amnesiaAug 24, 20212Aug 24, 20212
InTowards Data SciencebyDr. Robert KüblerBayesian Linear Regression in Python via PyMC3Learn how to infer model parameters and make predictions for new data, including uncertainty estimations!Dec 30, 20205Dec 30, 20205
InTowards Data SciencebyDr. Robert KüblerConducting Bayesian Inference in Python using PyMC3Revisiting the coin example and using PyMC3 to solve it computationally.Dec 23, 20202Dec 23, 20202
InTowards Data SciencebyDr. Robert KüblerBeginner-friendly Bayesian InferenceLet’s do Bayesian inference hands-on with a classical coin example!Dec 19, 20203Dec 19, 20203
InTowards Data SciencebyDr. Robert KüblerA gentle Introduction to Bayesian InferenceLearn about the difference between the frequentist and the Bayesian approach of reasoningDec 16, 20207Dec 16, 20207