The ISF2019 took place in Thessaloniki, Greece. This time I presented a spin-off of my research on intermittent demand in retail, entitled as “What about those sweet melons? Using mixture models for demand forecasting in retail”. The idea is quite trivial and simple: use mixture distribution regressions (e.g. logistic and log-normal distributions) in order to […]
This year I have presented an extension of the research from ISF2017, called “Forecasting intermittent data with complex patterns”. This time we developed the model with “logistic probability”, which allows capturing complex patterns in demand occurrence part of the data. I also tried making the presentation more entertaining and easier to understand by a wider […]
In Cairns, Australia, I have presented the topic from Bath — One for all: forecasting intermittent and non-intermittent demand using one model. It was well received although one of the professors did not understand the main point of the presentation and I could not explain him, why this is important and why the proposed approach […]
This time I presented a talk on Trace Forecast Likelihood, based on the presentation given at Ghent and in Higher School of Economics earlier this year. Unfortunately, I was in the session of statisticians, who discussed hypothesis testing and weren’t aware of the area of my presentation. As a result, this presentation passed without any […]
I have given a presentation on ISF2015 in Riverside, USA. The topic of presentation was Complex Exponential Smoothing for Time Series Forecasting. This is based on a paper submitted to International Journal on Forecasting, which is currently under review. Here’s the presentation.