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.
Mina Ossiander does not appear to be a widely recognized figure or term in public knowledge up to October 2023. It's possible that Mina Ossiander could refer to a private individual, an emerging figure, a character in literature or media, or a concept that has gained prominence after my last update.
Mikhail Menshikov, often spelled Mikhail Ivanovich Menshikov, was a significant historical figure in Russian history, particularly during the early 18th century. He was a statesman and military leader who played a crucial role in the court of Peter the Great. Menshikov rose from humble beginnings to become one of Peter the Great's closest advisors and a prominent figure in Russian politics and military affairs.
Michel Talagrand is a prominent French mathematician known for his contributions to probability theory and functional analysis. He is particularly recognized for his work in the field of empirical processes, as well as his contributions to the study of concentration inequalities, such as those associated with the Gaussian measure. Talagrand's work has had significant implications in various areas of mathematics, including statistics and machine learning.
Michel Loève was a prominent mathematician known for his contributions to the fields of probability theory and statistics. Born on July 17, 1910, and passing on July 8, 2012, Loève made significant advancements in the theoretical foundations of probability and its applications. One of his notable achievements was his work on the theory of stochastic processes, which laid the groundwork for many modern applications in mathematical statistics.
Michel Ledoux is not a widely recognized public figure, so there may be multiple individuals with that name across various fields. Without specific context, it's difficult to provide an accurate description.
Michael Woodroofe is a notable statistician known for his work in the field of statistics, particularly in areas related to statistical theory and methods. He has contributed to methodologies in Bayesian statistics and has published widely in academic journals.
Michael Röckner is a renowned German mathematician known for his work in the fields of stochastics and mathematical finance. He has made significant contributions to areas such as stochastic analysis, partial differential equations, and mathematical models in finance. He is often associated with the study of stochastic processes and has published numerous papers and articles in these domains.
Michael F. Shlesinger is a physicist known for his work in the fields of statistical physics and complex systems. He has contributed to research involving various topics, including nonlinear dynamics, chaotic systems, and time series analysis. His research often intersects with areas such as mathematical biology, environmental science, and finance.
Maury Bramson is a mathematician known for his work in probability theory, particularly in the areas of stochastic processes and large deviations. He has contributed to the field through research papers and lectures, and he is widely respected in the academic community.
María Emilia Caballero is a talented Spanish artist, noted for her work in painting and illustration. She has gained recognition for her unique style and contributions to the art community. Caballero often explores themes of identity, culture, and nature in her work and has participated in various exhibitions, gaining a following for her distinctive approach.
Martin T. Barlow is a prominent mathematician known for his work in several areas, including probability theory, stochastic processes, and mathematical rigor in the context of physical systems. He has made significant contributions to the understanding of random walks, fractals, and mathematical models related to statistical mechanics.
Martin Hairer is an Austrian mathematician known for his work in the field of stochastic analysis, particularly in relation to the theory of stochastic partial differential equations (SPDEs). He is recognized for developing a mathematical framework known as the theory of regularity structures, which provides tools to analyze and solve SPDEs that arise in various applications, including mathematical physics.
Martha Siegel is an American mathematician known for her contributions to the field of mathematics, particularly in the areas of topology and combinatorics. She is often noted for her work on topics such as set theory and the foundations of mathematics, and she has published several mathematical papers over her career. Additionally, she is recognized for her involvement in education and advocating for women in mathematics.
Mark Kac was a renowned mathematician known for his contributions to various fields, including probability theory, mathematical physics, and differential equations. Born on April 29, 1914, in Poland, he later emigrated to the United States, where he made significant strides in mathematics throughout his career. Kac is perhaps best known for his work on stochastic processes and for his famous question regarding the distribution of eigenvalues of self-adjoint operators.
Mark Freidlin does not appear to be a widely recognized figure based on the information available up to October 2023. It's possible that he is a private individual or a professional in a specific field that hasn't garnered significant public attention. If you could provide more context or specify what area you are referring to—such as business, science, art, etc.
Mark D. McDonnell is a researcher and academic known for his work in the field of neuroscience and neuroengineering. He has contributed to understanding brain dynamics, neural coding, and the development of neurotechnological tools and methods. His work often intersects with areas such as artificial intelligence, data analysis, and the application of engineering principles to biological systems.
Marjorie Hahn does not appear to be a widely recognized public figure, concept, or entity based on the available information up to October 2023.
Maria Eulália Vares is not widely recognized in common public knowledge or historical references as of my last update in October 2023. It's possible that she could be a figure in local history, academia, arts, or other fields that may not have gained significant attention in broader contexts.
Marc Yor (1944–2014) was a prominent French mathematician known for his contributions to the fields of probability theory and stochastic processes. He made significant advancements in various areas, including Brownian motion, stochastic calculus, and financial mathematics. Yor is particularly recognized for his work on the theory of stochastic integrals and the study of processes related to exponential martingales.

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