Dealing with Zero-Inflated Data: Achieving State-of-The-Art with a Two-Fold Machine Learning Approach

Author:

Rožanec Jože M.,Petelin Gasper,Costa João,Cerar Gregor,Bertalanič Blaž,Guček Marko,Papa Gregor,Mladenić Dunja

Publisher

Elsevier BV

Reference39 articles.

1. A semi-supervised framework for simultaneous classification and regression of zero-inflated time series data with application to precipitation prediction;Z Abraham;IEEE International Conference on Data Mining Workshops,2009

2. Reframing demand forecasting: a two-fold approach for lumpy and intermittent demand;J M Ro�anec;Sustainability,2022

3. Estimation of the poisson parameter from truncated samples and from censored samples;A C Cohen;Journal of the American Statistical Association,1954

4. Estimation of relationships for limited dependent variables;J Tobin;Econometrica: journal of the Econometric Society,1958

5. Some statistical models for limited dependent variables with application to the demand for durable goods;J G Cragg;Econometrica: Journal of the Econometric Society,1971

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