Dietrich Stoyan is a notable German mathematician recognized primarily for his contributions to the fields of probability theory, stochastic processes, and mathematical statistics. He has also made significant advancements in the study of point processes and spatial statistics. His work has applications in various disciplines, including biology, physics, and material sciences. Stoyan is known for his research papers and books, some of which focus on stochastic geometry and the theory of random structures.
Gérard Ben Arous is a prominent mathematician known for his work in probability theory, statistical mechanics, and mathematical physics. He has contributed significantly to the understanding of large deviations, random matrices, and the mathematical foundations of statistical mechanics. Ben Arous has also held academic positions at various institutions and has published numerous research papers in these fields.
Frank Kelly is a prominent British mathematician known for his work in probability theory, stochastic networks, and queueing theory. He has made significant contributions to the field, particularly in the analysis of complex systems and the mathematical modeling of various processes. Kelly is perhaps best known for his work on topics such as the theory of queues, network traffic models, and the interactions between different queues in a network setting.
J. Laurie Snell is known for his work in statistics and for being a prominent figure in the field of probability. He is particularly noted for his contributions to mathematical biology and statistics education. Snell is also recognized for his involvement in writing textbooks and resources that focus on statistics and probability, making complex concepts more accessible to students and educators. One of his notable works is "Introduction to Probability," which is often used in academic settings.
John Maynard Keynes (1883–1946) was a British economist whose ideas fundamentally changed the theory and practice of macroeconomics and economic policies of governments. He is best known for his work during the Great Depression, particularly his advocacy for active government intervention in the economy. Keynes's most significant contribution is encapsulated in his seminal work, "The General Theory of Employment, Interest, and Money," published in 1936.
Leonard Ornstein is best known for his work in the field of finance and economics, particularly in relation to the theory of market behavior and investment strategies. He is recognized for the "Ornstein-Uhlenbeck process," which is a mathematical model used to describe the dynamics of interest rates and other financial variables that exhibit mean-reverting behavior. Additionally, he has contributed to various fields, including the study of stochastic processes.
Robert Liptser is known for his contributions to the field of probability theory and stochastic processes. He is notably recognized for co-authoring the book "Theory of Martingales" and for his work on stochastic calculus and its applications. His research has had significant implications in various areas, including finance, including options pricing and risk management.
Monroe D. Donsker was an influential American mathematician best known for his contributions to probability theory and mathematical statistics. He is particularly recognized for his work on the Donsker's invariance principle, which establishes a connection between random walks and Brownian motion, thereby making significant advances in the field of functional central limit theorems. Donsker's work has had profound implications in both theoretical probability and applied mathematics.
Neil F. Johnson is a name associated with various individuals, primarily in academia and research. Without more specific context, it's challenging to pinpoint which Neil F. Johnson you might be referring to. One well-known Neil F. Johnson is a physicist affiliated with institutions such as the University of Miami, where he has contributed to the fields of complex systems and network science.
Rajeeva Laxman Karandikar is an Indian mathematician known for his contributions to various areas of mathematics, particularly in statistics and probability theory. He has been involved in research and has published numerous papers in these fields. Karandikar has also played a significant role in academia, including serving in leadership positions at institutions and contributing to mathematical education and outreach.
Robert Horton Cameron might refer to various individuals or subjects depending on the context, but there doesn’t seem to be a widely recognized figure or topic by that exact name in popular culture, history, or academia as of my last knowledge update in October 2023. If you have a specific context in mind—like a particular field (e.g.
Thomas M. Cover (1938–2022) was an influential American statistician and information theorist, known for his significant contributions to the fields of information theory, statistics, and machine learning. He is perhaps best known for co-authoring the widely used textbook "Elements of Information Theory" with Joy A. Thomas, which has become a standard reference in the field since its publication. Cover's work encompassed various topics, including hypothesis testing, data compression, and the analysis of algorithms.
Ward Whitt is an influential figure in the field of operations research and applied probability. He is particularly known for his work on queuing theory, asymptotic analysis, and stochastic processes. Whitt has made significant contributions to the understanding of complex systems, including analysis of service systems and telecommunications networks. He is also recognized for his contributions to the development of methods for analyzing large systems and for strategic modeling in operations research.
Yuri Prokhorov could refer to several individuals, but there is no widely known figure with that name in popular culture, politics, or science who is universally recognized. It's possible that the name could belong to a private individual or a less widely known professional in various fields. If you're referring to a specific person, providing more context could help narrow it down.
Simpson's paradox is a phenomenon in statistics where a trend that appears in several different groups of data reverses or disappears when the groups are combined. This paradox can lead to misleading conclusions if the data is not properly analyzed, as the overall relationship may not reflect the relationships within the individual groups. The key concept behind Simpson's paradox is that the aggregation of data can mask or confound relationships due to lurking variables or different underlying distributions.
Wassily Hoeffding is a Russian-American mathematician known for his significant contributions to probability theory and statistics. He is particularly well-known for the Hoeffding inequality, which provides bounds on the sum of random variables and is essential in the field of statistical learning theory, especially in the context of dealing with large samples and understanding the convergence of sample averages to expected values.
Zbigniew Ciesielski could refer to a person, as it is a common Polish name. However, without additional context, it's difficult to provide specific information about him. There may be several individuals with that name, each with different professions or contributions.
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 3. Visual Studio Code extension installation.Figure 4. Visual Studio Code extension tree navigation.Figure 5. Web editor. 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.Video 4. OurBigBook Visual Studio Code extension editing and navigation demo. Source. - 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





