Lancaster CMAF

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58 videos

The official channel of the Centre for Marketing Analytics and Forecasting (CMAF), Lancaster University, UK. CMAF is a pioneering centre for fundamental and ...

Latest Videos

Business Forecasting Principles 15. Forecast Selection and Combination

Business Forecasting Principles 11. Forecasting for Inventory Management

Business Forecasting Principles 10. Forecast Evaluation Point Forecasts

Business Forecasting Principles 09. Forecast evaluation principles

CMAF FFT Generating stable forecasts what it is, why it matters, and how to achieve it

Business Forecasting Principles 07. How to Select a Forecasting Software

CMAF FFT More effective data visualisations for improving communication with decision makers

Business Forecasting Principles 06. Forecasting in Retail

Business Forecasting Principles 05. Time series components

CMAF FFT Making decisions when you do not trust your forecasts

CMAF FFT Forecasting with the 2nd generation of AI

Business Forecasting Principles 04. Forecast Improvement What, When, How

CMAF FFT Predicting emergency admissions to hospital specialties using real-time data

CMAF FFTA new classification scheme for trendseasonal demand forecasting and planning applications

CMAF FFT Why you should care about exponential smoothing

CMAF FFT Hierarchical forecasting for manufacturing

CMAF FFT Common Forecasting Methods and The Mindset Behind Forecasting

Business Forecasting Principles 03. Judgment in Forecasting

Business Forecasting Principles 02. Choice of Forecasting Approach

Lancaster CMAF introduction by Robert Fildes

CMAF FFT Applying Forecasting Techniques to Healthcare Data

CMAF FFT Intermittent Demand Forecasting

Business Forecasting Principles 01. Introduction to Forecasting

CMAF FFT Machine Learning forecasts – confirmation bias or value add

CMAF FFT The role and challenges of forecasting for circular economic operations

CMAF FFT When and what not to forecast

Introduction of Lancaster Centre for Marketing Analytics and Forecasting members

CMAF FFT Alternatives to judgmental forecast adjustments a retail case study

CMAF FFT Making your model generalise better Cross-validation and data augmentation

CMAF FFT On performance of temporal aggregation in time series forecasting