Holmium is a chemical element with the symbol "Ho" and atomic number 67. It belongs to the lanthanide series of the periodic table, which is a group of 15 elements known for their similar properties. Holmium is a silvery-white metal that is relatively soft and can be easily machined.
As of my last knowledge update in October 2023, Julie E. Backer is not a widely recognized public figure, academic, or topic that appears in major sources. It's possible that she is a private individual, a professional in a specific field, or a lesser-known figure not extensively covered in mainstream media. If you have a specific context or additional details about who Julie E.
As of my last knowledge update in October 2023, there is no widely known public figure, organization, or concept specifically referred to as "Kimberly Sellers." It's possible that it could refer to a private individual, a fictional character, or a less-publicized entity that may have come into prominence after my last update.
Lynn Kuo is a Canadian violinist and conductor known for her versatile performances in classical and contemporary music. She has gained recognition for her artistry and has participated in various musical collaborations, performances, and festivals. Kuo has also been involved in educational initiatives, sharing her expertise with students and emerging musicians.
Marie Davidian is a notable statistician and professor known for her contributions to the fields of biostatistics and statistical methodology. She has worked extensively on issues related to longitudinal data and has made significant advancements in the area of modeling and statistical inference for complex data structures, particularly in the context of public health and clinical studies. In addition to her research work, Marie Davidian has also been involved in teaching and mentoring students in statistics and biostatistics.
Mary E. Thompson could refer to various individuals or topics, depending on the context. Without additional information, it's challenging to provide a specific answer. If you're referring to a particular person, field of study, or topic associated with the name Mary E. Thompson, please provide more details!
Rajeshwari Sundaram could refer to a number of individuals, as it is a name that may belong to various people. Without more context, it's difficult to determine who or what you might be referring to. It could represent a professional in fields such as academia, arts, or business.
Ruth Pfeiffer is a renowned epidemiologist known for her work in cancer epidemiology, particularly in breast cancer research. She has contributed significantly to understanding the relationship between various factors, such as genetic predisposition and lifestyle choices, and the risk of developing cancer. Pfeiffer has published numerous studies and articles in scientific journals and has been involved in research that utilizes large datasets to examine epidemiological trends.
Xihong Lin is an esteemed statistician known for her contributions to several areas of statistics, particularly in the fields of biostatistics and epidemiology. She has made significant advancements in statistical methods for analyzing high-dimensional data, causal inference, and longitudinal studies. Lin has also been involved in developing statistical models that are applicable in medical research, particularly in understanding disease dynamics and treatment effects.
The Institute of Mathematical Statistics (IMS) is a professional organization that promotes the development and dissemination of the theory and applications of statistics and probability. The presidency of the IMS typically involves leadership in the organization's activities, including promoting research, education, and scholarly communication in the field. The presidents of the IMS are usually prominent figures in the statistical community, and their terms reflect their contributions to the field. Information about past and current presidents can often be found on the IMS's official website or in their published materials.
Daniela Witten is a prominent statistician and data scientist known for her work in statistical learning, high-dimensional statistics, and machine learning. She is a professor at the University of Washington, where she has contributed significantly to the fields of bioinformatics and medical statistics. Witten's research often focuses on developing and analyzing methods for understanding complex data sets, particularly in areas such as genomics and precision medicine.
Dipak K. Dey is a prominent statistician known for his work in the fields of statistical theory and applications, particularly in Bayesian statistics, nonparametric statistics, and measurement error models. He has authored and co-authored numerous research papers and textbooks, contributing significantly to the development of statistical methodologies and their applications in various domains. He has held academic positions in various institutions and has been involved in teaching and mentoring students in statistics.
Jun S. Liu is a prominent statistician and professor known for his contributions to the fields of statistics and machine learning. He has worked on a variety of topics, including Bayesian statistics, non-parametric methods, and computational statistics. Liu has published extensively in academic journals and has been influential in advancing statistical methodologies and theories.
Ingrid Van Keilegom is not a widely recognized public figure or concept in readily available information up to October 2023. It's possible that she could be a professional in a specific field, a private individual, or a local figure not covered in global news sources.
John Aitchison can refer to a few different individuals, but he is most commonly known as a British statistician, particularly recognized for his work in the fields of statistical theory and applications, including the development of methods for compositional data analysis. He has contributed significantly to the understanding of how to handle data that represent parts of a whole (such as percentages or proportions) in a statistically valid way.
"Lan Zhang" could refer to different things depending on the context. It might typically refer to: 1. **A Person's Name**: Lan Zhang is a common name in Chinese-speaking regions and could refer to various individuals. Without specific context, it's challenging to determine which person you're referring to. 2. **A Concept or Term in Literature or Culture**: It may also be a term or phrase that appears in literature, art, or cultural references, although it's less common.
Mary Ellen Bock is an American statistician and a notable figure in the field of statistics and applied mathematics. She is recognized for her work in statistical modeling, particularly in the context of environmental statistics and her contributions to educational practices in statistics. Bock has also been involved in various professional organizations related to statistics and has published research papers on statistical methodologies.
As of my last knowledge update in October 2021, there is no widely known figure or topic by the name "Miriam Gasko Donoho." It's possible that she is a private individual or a figure who has gained prominence after my last update. If you could provide more context or specify the domain in which she is relevant (e.g., literature, science, politics, etc.
Peter Rousseeuw is a Belgian statistician known for his contributions to statistical data analysis and robust statistics. He is particularly recognized for developing methods that are resistant to outliers, such as the **MEDIAN** and the **M-estimator**. One of his well-known algorithms is the **DBSCAN** clustering method, which is widely used in data mining for identifying clusters in large datasets.
"Rui Song" could refer to different things depending on the context, but it is not widely recognized as a specific term in popular culture, science, or another widely referenced area.

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!
We have two killer features:
  1. 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-calculus
    Articles 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/derivative
  2. 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.
    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.
  3. https://raw.githubusercontent.com/ourbigbook/ourbigbook-media/master/feature/x/hilbert-space-arrow.png
  4. Infinitely deep tables of contents:
    Figure 6.
    Dynamic article tree with infinitely deep table of contents
    .
    Descendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
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