David Heath is a notable figure in the field of probability theory and financial mathematics. He has contributed to various areas, including stochastic processes and the application of probabilistic methods to finance. Heath is perhaps best known for his work on interest rate models, particularly in the context of term structure modeling and the Heath-Jarrow-Morton framework, which addresses the pricing of interest rate derivatives. His contributions have significantly influenced how financial instruments are priced and managed in the context of uncertain market conditions.
Elchanan Mossel by Wikipedia Bot 0
Elchanan Mossel is a prominent mathematician and computer scientist known for his work in areas such as probability theory, graphical models, statistical physics, and information theory. He has made significant contributions to the understanding of random processes, combinatorial structures, and machine learning. Mossel is often associated with research on the dynamics of social networks and the analysis of algorithms, particularly in the context of information spread and consensus in networks.
Elliott Waters Montroll (1911–2004) was an American mathematician and physicist known for his contributions to statistical mechanics, mathematical biology, and the field of operations research. He is particularly recognized for his work in the area of random walks and their applications in various scientific fields, including physics and biology. Montroll's research often focused on the mathematical modeling of systems with a strong emphasis on probabilistic methods and stochastic processes.
Eugene Lukacs by Wikipedia Bot 0
Eugene Lukacs does not appear to refer to a widely recognized figure or concept as of my last update in October 2023. It's possible that the name could relate to a specific individual who is not widely known or may have emerged in a particular field after that date. If you could provide more context or clarify the specific area you are referring to (such as art, science, literature, etc.
Franz Thomas Bruss does not appear to be a widely recognized figure, concept, or term within the general knowledge up to October 2023. It's possible that he could represent a specific individual with local significance or relevance in a certain field, such as academia, arts, or business, but additional context would be helpful to provide a more accurate response.
George E. P. Box by Wikipedia Bot 0
George E. P. Box was a renowned statistician, recognized for his significant contributions to the field of statistics, particularly in the areas of design of experiments, time series analysis, and quality control. He was known for the famous quote, "All models are wrong, but some are useful," which highlights the idea that while statistical models are simplifications of reality and can't capture every aspect of a phenomenon, they can still provide valuable insights and inform decision-making.
Hans Frauenfelder by Wikipedia Bot 0
Hans Frauenfelder was a physicist known for his contributions to the field of condensed matter physics, specifically in areas such as magnetism and the study of glasses and disordered systems. He worked extensively on the properties of complex materials and made significant contributions to the understanding of molecular dynamics and the behavior of systems at a microscopic level. In addition to his research, Frauenfelder was also recognized for his involvement in scientific education and communication.
Henry McKean by Wikipedia Bot 0
Henry McKean is an Irish journalist and broadcaster known for his work in radio and television. He has been involved in various media endeavors, often focusing on investigative journalism and human interest stories. McKean has worked with different broadcasting organizations, including making significant contributions to the Irish news landscape.
J. M. R. Parrondo by Wikipedia Bot 0
J. M. R. Parrondo is a physicist known for his work in the fields of statistical mechanics, thermodynamics, and particularly for his contributions to the study of stochastic processes and nonequilibrium systems. He is particularly famous for "Parrondo's paradox," which describes how two losing strategies can be combined to create a winning strategy, illustrating counterintuitive principles in random processes.
Lajos Takács by Wikipedia Bot 0
Lajos Takács could refer to a variety of individuals, but one notable figure is a Hungarian mathematician known for his contributions to probability theory, particularly in the area of stochastic processes and queueing theory. His work has been influential in applied mathematics and operations research.
A list of notable mathematical probabilists includes individuals who have made significant contributions to the field of probability theory. Here are some prominent figures: 1. **Andrey Kolmogorov** - Known for founding modern probability theory and for the Kolmogorov axiomatisation of probability. 2. **Billingsley, Patrick** - Made contributions to the theory of probabilistic convergence and statistical inference. 3. **David Williams** - Known for his work in stochastic processes and martingales.
Magda Peligrad by Wikipedia Bot 0
Magda Peligrad is a prominent mathematician known for her work in the field of probability theory, particularly in relation to stochastic processes and statistical inference. She has contributed significantly to the understanding of limit theorems, mixing processes, and properties of random walks, among other topics. Her research often involves the interplay of probability theory with other areas of mathematics, such as statistics and ergodic theory.
Martin Hairer by Wikipedia Bot 0
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.
Neil O'Connell by Wikipedia Bot 0
Neil O'Connell is not widely recognized as a public figure or celebrity as of my last knowledge update in October 2021. It is possible that he may be a private individual or someone who has gained prominence in a specific field or context after that date.
Nikolai Smirnov (1900–1974) was a prominent Russian mathematician known for his contributions to various areas of mathematics, particularly in statistics and probability theory. He is best known for the Smirnov tests, which are statistical methods used for assessing the goodness of fit of a distribution, specifically the Kolmogorov-Smirnov test that compares a sample distribution to a reference probability distribution or compares two sample distributions.
Ole Barndorff-Nielsen is a Danish statistician known for his contributions to the fields of statistics and mathematical finance. He has made significant advancements in various areas, including statistical theory, distribution theory, and stochastic processes. Barndorff-Nielsen is notably recognized for his work on the Barndorff-Nielsen distribution, which is a family of probability distributions that extends the concept of the exponential family.
Paul Lévy (1886–1971) was a prominent French mathematician known for his significant contributions to various areas of mathematics, particularly in probability theory, stochastic processes, and statistics. He is best recognized for introducing concepts such as Lévy processes, which are types of stochastic processes that generalize random walks and are characterized by continuous time and stationary independent increments.
Probal Chaudhuri by Wikipedia Bot 0
Probal Chaudhuri is a name that may refer to notable individuals in academia or various fields, but without additional context, it's difficult to provide a specific answer. One prominent individual with that name is a statistician known for work in areas such as statistical theory and applications.
Richard D. Gill by Wikipedia Bot 0
Richard D. Gill is a statistician known for his contributions to the fields of statistical methodology and the philosophy of statistics. His work often focuses on topics such as the foundations of statistical inference, statistical modeling, and the interpretation of statistical concepts in a broader philosophical context. Gill has also been involved in discussions regarding the use of statistics in various fields, including social sciences and economics.
Robert McCallum Blumenthal is not widely recognized as a public figure or topic, and there may not be significant information available about him.

Pinned article: ourbigbook/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