John A. Hartigan is not a widely recognized figure in popular culture, academia, or other well-documented fields up to my knowledge cutoff in October 2023. It is possible that he could be a private individual, a professional in a specific field, or someone who became notable after that date. If you have a specific context or field in mind (like literature, politics, science, etc.
Johann Pfanzagl (1922-2019) was an Austrian mathematician known for his contributions to statistics and probability theory. He is particularly recognized for his work in statistical theory, estimation, and the foundations of statistics. Pfanzagl made significant contributions to statistical methodologies, including developments in inference, decision theory, and the application of statistical methods in various fields.
Jim Berger is a prominent statistician known for his contributions to Bayesian statistics, decision theory, and various areas of statistical methodology. He has authored numerous research papers and books, significantly influencing how Bayesian methods are applied in statistical practice. Berger is also recognized for his role in developing educational materials and for his efforts in promoting the understanding of statistical principles. He has held academic positions at various institutions, including Duke University, where he has contributed to both research and teaching in statistics.
Jerome H. Friedman is a prominent statistician and computer scientist known for his work in the fields of statistics, machine learning, and data mining. He is particularly recognized for his contributions to the development of various statistical techniques and algorithms, including the creation of the "Gradient Boosting Machines" and the "CART" (Classification and Regression Trees) methodology. Friedman has authored numerous influential papers and has contributed to the advancement of predictive modeling and data analysis.
Jean D. Gibbons is a prominent figure in genetics and genomics. She is known for her research on the genetic basis of complex traits and diseases, particularly in relation to human health. Gibbons has contributed to the understanding of how genetic variations can influence traits such as susceptibility to diseases, response to therapies, and overall health outcomes. If you have a specific context or details regarding Jean D.
Jana Jurečková may refer to a specific individual, but without more context, it's difficult to provide an accurate answer. There are various people with that name, so she could be involved in different fields such as academia, the arts, or public service, among others.
James Pickands is a mathematician known for his contributions to the fields of probability theory and statistics, particularly in relation to extreme value theory and the theory of random processes. He is well-regarded for his work on the Pickands dependence function, which plays a significant role in multivariate extreme value theory.
James Durbin is an American singer, songwriter, and musician who gained fame as a contestant on the tenth season of "American Idol" in 2011. Durbin is known for his powerful vocal abilities, dynamic performances, and distinctive style, which blends elements of rock, metal, and pop.
Jack Kiefer is a notable statistician recognized for his contributions to the fields of statistics and probability theory. He is particularly known for his work in the areas of experimental design, statistical decision theory, and the development of statistical methodologies. Kiefer has authored and co-authored numerous research papers and has been involved in various significant contributions to statistical science, including work on optimal experimental design.
Irénée-Jules Bienaymé was a notable French statistician and mathematician, known for his contributions to the fields of statistics and probability. Born in 1796, he made significant advancements in the theory of probability and is recognized for his work in the development of statistical methods and principles that are still relevant today.
Iain M. Johnstone is a prominent statistician renowned for his contributions to the fields of statistics and machine learning, particularly in the areas of high-dimensional data analysis, non-parametric statistics, and statistical decision theory. He has published extensively in various academic journals and is known for his work on topics like model selection, estimation methods, and theoretical underpinnings of statistical techniques.
Hirotugu Akaike was a renowned Japanese statistician best known for his significant contributions to statistical model selection and information theory. He was born on November 5, 1927, and passed away on August 4, 2009. Akaike's most famous contribution is the Akaike Information Criterion (AIC), which is a method for model selection that helps to estimate the quality of a statistical model relative to others.
Herman Wold (1908-2002) was a prominent Swedish economist and statistician, known for his significant contributions to econometrics, particularly in the areas of time series analysis and structural modeling. He is best known for developing techniques related to the estimation of structural models using instrumental variables and for his work in the realm of partial least squares (PLS) regression. Wold's research laid the groundwork for much of the modern approach to model specification, estimation, and validation in econometrics.
Herman Otto Hartley is likely a reference to the Hartley transformation or the Hartley function in mathematics and engineering, primarily related to signal processing and communications. However, if you meant to refer to an individual by that name, there doesn't appear to be widely recognized or notable figures by that exact name in available historical or contemporary records.
Henry Lewis Rietz (1854–1922) was an American mathematician known for his contributions to the field of mathematics, particularly in the area of numerical analysis and applied mathematics. He is recognized for his work on the Rietz problem and for advancing the understanding of numerical methods. His research often focused on mathematical techniques that could be applied to practical problems. In addition to his research, Rietz was involved in education and contributed to the development of mathematical curricula.
Harold Jeffreys (1891–1989) was a prominent British mathematician, statistician, and geophysicist known for his contributions to various fields, including Bayesian statistics, geophysics, and the study of earthquakes. He played a significant role in the development of Bayesian methods in statistics, advocating for the use of subjective probabilities based on prior knowledge and evidence in statistical analysis.
Hans-Rudolf Künsch is a notable Swiss statistician, recognized for his contributions to the field of statistics, particularly in areas related to time series analysis, statistical inference, and the theory of stochastic processes. He is known for developing methods related to empirical processes and also for his work in nonparametric statistics.
Hannu Oja is not a widely recognized name in mainstream culture or science, as of my last update in October 2023. It’s possible that he could be a professional in a specific field, a local figure, or a name that has gained prominence after my last data update.
Halbert White is a prominent statistician and econometrician known for his contributions to the fields of econometrics and statistical theory. One of his significant contributions is the development of robust standard errors, which address issues of heteroskedasticity (non-constant variance) in the context of regression analysis. This work is particularly influential in ensuring valid inference in econometric models when the assumptions of traditional ordinary least squares regression are violated.
Gopinath Kallianpur is a mathematician known for his contributions to various areas of mathematics, particularly in the fields of functional analysis, topological groups, and the theory of continuous groups. It's worth noting that there might also be place names or other contexts where "Gopinath Kallianpur" could be relevant.

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