A research team led by Prof. Li Hai from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has ...

Anomaly detection tools and methods present a key capability in modern cyberphysical and failure prediction systems. Despite the fast-paced development in deep learning architectures for anomaly ...

Marketing Mix Modeling (aka MMM) is a forecasting methodology used by marketers to assess the impact of various app marketing tactic scenarios on product sales. To build a Marketing Mix Model, ...

We review models for analyzing multivariate data of mixed (heterogeneous) domains such as binary, categorical, ordinal, counts, continuous, and/or skewed continuous, and methods for modeling various ...

Multivariate regression and multivariate analysis of variance can be conducted in a particularly flexible manner using a multilevel approach. The models can also be used to fit growth curves and other ...

MMM does several things well. For established brands with years of data, MMM can effectively run long-tail effect, multilevel and multistage models. It incorporates both non-addressable media and ...

This research has been peer-reviewed. For more information on this research see: A New Multivariate Zero-inflated Hurdle Model With Applications In Automobile Insurance. Astin Bulletin, 2022.

Prof. Dr. Steffen Nestler is a professor for statistics and research methods in psychology at the University of Münster.

Advantages and Disadvantages of Multivariate Modeling The advantage of multivariate modeling is that it provides more detailed “what if” scenarios for decision-makers to consider. For example ...