Sandrine Dudoit is a prominent French mathematician and statistician known for her work in the field of statistics, particularly in the areas of high-dimensional data analysis, bioinformatics, and the development of statistical methods for genomics. She has contributed significantly to the understanding of complex data structures and has collaborated with various researchers in the field of computational biology.
Susan S. Ellenberg is a prominent American statistician known for her work in the field of biostatistics, particularly in the areas of clinical trials and epidemiology. She has made significant contributions to the design and analysis of clinical studies, focusing on the assessment of treatments and interventions in healthcare settings. Ellenberg has also been involved in various educational initiatives, mentoring students and young professionals in statistics and biostatistics.
Tian Zheng, also known as the "Sky Needle," is a prominent landmark in Beijing, China. It is a part of the Tiananmen Square area and is often associated with the Monument to the People's Heroes and the Great Hall of the People. The name "Tian Zheng" might also refer to other contexts or names, as it can be used in various references in Chinese culture or geography.
Wendy L. Martinez is a notable statistician and researcher known for her contributions to the fields of statistical methodology and data analysis. She has made significant advancements in statistical theory, particularly in the areas of nonparametric statistics, robust statistics, and the application of statistical methods in various scientific disciplines. Martinez has also been involved in teaching and mentoring students in statistics and has published numerous research papers and articles in academic journals.
It seems there might be a typo or a confusion in the term "Xinping Cui." If you are referring to "Xi Jinping," he is the General Secretary of the Communist Party of China and the President of the People's Republic of China.
Cynthia Rudin is a prominent figure in the fields of machine learning and artificial intelligence, particularly known for her work on interpretable machine learning and its applications in various domains such as healthcare, social sciences, and criminal justice. She has been involved in research that emphasizes the importance of understanding and interpreting the decisions made by machine learning models, as well as ensuring that these models are used ethically and responsibly.
Evelyn Fix (1913–2000) was an American author and a prominent figure in the field of psychology, particularly known for her work in the area of family therapy. She is recognized for her contributions to understanding family dynamics and her involvement in therapeutic practices.
Francesca Dominici is a prominent biostatistician and professor known for her research in the field of public health, particularly in areas related to environmental health and statistical methodology. She is a faculty member at Harvard University, where she has been involved with the Harvard T.H. Chan School of Public Health and the Department of Biostatistics. Dominici's work often focuses on the impact of air pollution on health outcomes and employs innovative statistical techniques to analyze large datasets.
Grace Y. Yi is a notable statistician recognized for her contributions to the fields of statistics and data science, particularly in the areas of statistical modeling and methodology. She has been involved in research relating to high-dimensional data, statistical learning, and various applications of statistics in health sciences.
Jian-Jian Ren is a Chinese physicist known for his work in the field of quantum optics and quantum information science. His research often involves the development of technologies related to quantum communication, quantum cryptography, and the manipulation of quantum states for various applications. Ren has contributed to advancements in the understanding and practical implementation of quantum phenomena, particularly in the context of enhancing secure communication methods.
It appears there may be a typo or confusion with the name "Moulinath Banerjee." There isn’t widely known information or notable figures by that exact name as of my last update in October 2023.
Raymond J. Carroll is a prominent statistician and biostatistician known for his contributions to the fields of statistics and biostatistics, particularly in the areas of asymptotic theory, statistical modeling, and statistical methods for epidemiology and clinical trials. He has published extensively on various topics related to statistical theory and applications. Carroll is often recognized for his work on measurement error models, which are important in epidemiology and medicine where accurate measurement of parameters is critical.
As of my last update in October 2023, Regina Liu is not a widely recognized public figure, concept, or brand. It’s possible that Regina Liu could refer to a private individual or a less-known person in a specific field. If you have a particular context in mind—such as a profession or notable achievement—please provide more details, and I would be happy to help!
P50, in the context of pressure, often refers to a specific measurement related to the partial pressure of a gas in a mixture, particularly in biological or biochemical contexts. For instance, in the field of respiratory physiology, P50 is commonly associated with the partial pressure of oxygen (pO2) at which hemoglobin is 50% saturated with oxygen.
Ruth King is a prominent statistician known for her work in statistical methodology and applications. She is particularly recognized for her contributions to areas such as design of experiments, statistical modeling, and biostatistics. King has held academic positions and has been involved in various research projects and collaborations across different fields, including healthcare and environmental studies. Her work often emphasizes the importance of understanding statistical principles for making informed decisions based on data.
Vincent Poor is an American engineer and academic recognized for his contributions to electrical engineering, particularly in the areas of wireless communications, statistical signal processing, and related fields. He has held prominent positions at Princeton University, where he has been a professor and has worked on numerous research projects and publications. Poor's work often focuses on the theoretical underpinnings and practical applications of communication systems and has significant implications in both academia and industry.
Ben Goertzel is an American artificial intelligence researcher and entrepreneur, known for his work in the field of AI, particularly in artificial general intelligence (AGI) and machine learning. He is the founder and CEO of SingularityNET, a decentralized platform for AI services. Goertzel has contributed to numerous projects aimed at developing advanced AI systems and has authored many publications on topics related to AI, cognitive science, and complex systems.
Jean-Paul Benzécri was a prominent French mathematician and researcher known for his significant contributions to statistical methods and data analysis, particularly in the development of methods for multivariate statistics and data mining. He is particularly recognized for his work in correspondence analysis, a technique for analyzing categorical data, which has wide applications in various fields, including social sciences, linguistics, and market research.
Pinned article: Introduction to the OurBigBook Project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
. Source. We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 2. You can publish local OurBigBook lightweight markup files to either OurBigBook.com or as a static website.Figure 3. Visual Studio Code extension installation.Figure 5. . You can also edit articles on the Web editor without installing anything locally. Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension. - Infinitely deep tables of contents:
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact