张书聪，对外经济贸易大学统计学院数据科学系副教授，2018年博士毕业于上海财经大学，毕业之后进入北京大学从事博士后研究，主要研究方向为微生物组数据、成分数据、图模型等。研究成果发表在JASA，JMVA等国际权威期刊上。

Intrinsic dimensionality estimation seeks to determine the minimum number of variables required to describe the structure underlying high-dimensional datasets. By identifying the true manifold that ...

Joanna Riley, CEO & cofounder of Censia. Striving for a more just and efficient global economy through better talent data and technology. In the age of data-driven decision-making, the significance of ...

This book offers a comprehensive framework for mastering the complexities of learning high-dimensional sparse graphical models through the use of conditional independence tests. These tests are ...

Welcome to Multidimensional Data Reversion, a four-part podcast series from Ropes & Gray’s Insights Lab where data analysis intersects with the law. On this first episode, join Shannon Capone Kirk, ...

The popularity of Microsoft Excel has never waned. Today, a whopping 1.1 billion users globally rely on it for multidimensional analysis in areas such as "scenario planning, supply chain optimization, ...

It is a significant and challenging task to detect the informative features to carry out explainable analysis and build an interpretable AI system for high dimensional data, especially for those with ...

Your source for the news, opinions, and reader reaction on the industry’s hottest controversy. Excerpt from Microsoft SQL Server 2008 Analysis Services Unleashed. Working with relational databases, we ...

On this third episode of Ropes & Gray’s Insights Lab’s four-part Multidimensional Data Reversion podcast series, Shannon Capone Kirk and David Yanofsky discuss the crucial steps in the iterative cycle ...

Dorothy Foehr Huck and J. Lloyd Huck Chair in Neuroethics, Associate Professor of Engineering Science and Mechanics, Associate Professor of Philosophy and Bioethics, Associate Director Neuroethics and ...