Christian Schittenkopf

Title: Christian Schittenkopf: Innovator in Statistical Dependency Classification

Introduction

Christian Schittenkopf is a notable inventor based in München, Germany. He has made significant contributions to the field of statistical analysis and prediction through his innovative methods. With a total of 2 patents, Schittenkopf's work focuses on enhancing the accuracy of predictions in dynamic systems.

Latest Patents

One of Schittenkopf's latest patents is a method of classifying statistical dependency of a measurable series of statistical values. This method involves modeling a time series established by a measured signal, such as a stock market quotation curve, according to its probability density. By utilizing a non-linear Markov process, he describes the conditioned probability densities, allowing for future value predictions. A neural network is trained based on the probabilities derived from the Markov process, employing the maximum likelihood principle to maximize the product of probabilities. This innovative approach enables the prediction of future values based on a specified number of past values.

Another significant patent by Schittenkopf is a method for classifying a time series that includes a prescribable plurality of samples with a computer. This method determines a generalized correlation integral for a portion of the samples in the time series. From the values of this integral, a family of entropy functions is established, using a plurality of future samples as a parameter. The time series is then classified into various types of characteristic processes based on the curve of the entropy function family.

Career Highlights

Christian Schittenkopf is currently employed at Siemens Aktiengesellschaft, where he continues to develop and refine his innovative methods. His work at Siemens has allowed him to apply his research in practical settings, contributing to advancements in technology and data analysis.

Collaborations

One of Schittenkopf's notable collaborators is Gustavo Deco. Their partnership has fostered a productive exchange of ideas and expertise, further enhancing the impact of their work in the field.

Conclusion

Christian Schittenkopf stands out as an influential inventor in the realm of statistical dependency classification. His innovative patents and contributions to Siemens demonstrate his commitment to advancing technology and improving predictive methodologies.