Sep 22, 2017 · We present a scalable and robust Bayesian inference method for linear state space models. The method is applied to demand forecasting in the context of a large ...

The method is applied to demand forecasting in the context of a large e-commerce platform, paying special attention to intermittent and bursty target ...

We present a scalable and robust Bayesian inference method for linear state space models. The method is applied to demand forecasting in the context of a ...

Sep 22, 2017 · We present a scalable and robust Bayesian inference method for linear state space models. The method is applied to demand forecasting in the ...

I have been working on theory and practice of Gaussian processes and Bayesian optimization, scalable variational approximate inference algorithms, Bayesian ...

Co-authors ; Approximate Bayesian inference in linear state space models for intermittent demand forecasting at scale. M Seeger, S Rangapuram, Y Wang, D Salinas, ...

We present a scalable and robust Bayesian inference method for linear state space models. Bayesian Inference · Paper

Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale · M. SeegerSyama Sundar Rangapuram +4 authors

This paper describes a method for intermittent demand forecasting that combines GLM with time series smoothing. Approximate inference method is used to enable ...

Hello, I want to apply the ISSM method in this paper "Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale ...