Sarah Lancaster is an American composer known for her work in film, television, and various musical projects. She has composed music for a range of genres, showcasing her versatility and creativity. While specific details about her life and career may not be extensively publicized, her contributions to the music industry often highlight her ability to blend different musical styles and create evocative soundscapes.
"Watchman" is a hymn that often reflects themes of vigilance, spiritual awareness, and preparation for Christ's return. It is based on the biblical imagery of a watchman who is tasked with keeping vigil and alerting the people to danger or significant events. One of the most well-known versions of a hymn titled "Watchman" is associated with the text that emphasizes the anticipation of the Second Coming of Christ.
Charles Davis Tillman, commonly known as Charles Tillman, is a former professional American football player who played as a cornerback in the National Football League (NFL). He was born on February 2, 1981, in Chicago, Illinois. Tillman is best known for his time with the Chicago Bears, where he played from 2003 to 2014 and earned a reputation as one of the league's top cornerbacks.
Eugene Monroe Bartlett was an American hymn writer and publisher, best known for his contributions to Southern gospel music. He was born on December 24, 1855, in New York and later became a significant figure in the development of gospel music in the early 20th century. Bartlett is famous for writing many hymns and songs, one of the most well-known being “Victory in Jesus,” which he composed in 1939.
Jeremiah Ingalls was an American composer and hymnodist, best known for his work in the 19th century. He was born on December 28, 1788, in Athol, Massachusetts, and became a significant figure in the development of American church music. Ingalls is particularly noted for his contributions to shape note singing, which was a popular method of teaching music in church settings during that period.
Shape-note tunebooks are collections of musical notation specifically designed for use in shape-note singing, a tradition that originated in the early 19th century in the United States. Shape-note notation uses different shapes for each note (such as triangles, circles, squares, and diamonds) to facilitate learning and singing hymns and sacred music, making it accessible for singers who may not have formal musical training.
Stamps-Baxter Music Company is a prominent publisher of choral and congregational music, particularly known for its influence in Southern gospel music. Founded in the early 20th century, it has played a significant role in the development and dissemination of music within the genre. The company is recognized for producing songbooks, hymnals, and sheet music that are widely used in churches and by singing groups, especially in the United States.
Tillit Sidney Teddlie (1900-1993) was an American psychologist and educator widely recognized for his contributions to the field of educational research and measurement. He is particularly noted for his work in the development of educational assessment methodologies and his emphasis on the importance of quantitative and qualitative approaches in educational research. Teddlie has also contributed to the field through various publications and by fostering the integration of social and behavioral sciences in educational settings.
William Billings (1746-1800) was an American choral and choral composer, as well as a leader in the early American musical scene. He is often regarded as one of the first significant American composers of choral music. Billings is best known for his "Psalmody," which refers to the singing of psalms, and his works were characterized by their strong melodies and harmonies.
Sheet music publishing companies are businesses that specialize in producing, distributing, and selling sheet music, which consists of written musical notation for instruments and voice. These companies play a crucial role in the music industry by facilitating the distribution of musical works to performers, educators, and enthusiasts. Key functions of sheet music publishing companies include: 1. **Publishing and Production**: They take musical compositions from composers and arrange them into sheet music format, ensuring that the notation is clear and accessible for performers.
The International Music Score Library Project (IMSLP), also known as the Petrucci Music Library, is a digital library that provides free access to a vast collection of public domain music scores. Founded in 2006, IMSLP aims to promote music education and appreciation by making a wide range of musical works available for anyone to access, download, and use.
The term "hexafoil" can refer to several contexts, depending on the domain you are looking at: 1. **Mathematics and Geometry**: In a geometric context, a hexafoil is a type of geometric figure that resembles a six-lobed shape or form, often created by overlapping circles (like a flower design with six petals). It can also refer to certain symmetrical patterns used in various mathematical models.
In Bayesian statistics, a conjugate prior distribution is a prior distribution that, when used in conjunction with a specific likelihood function, results in a posterior distribution that is in the same family as the prior distribution. This property greatly simplifies the process of updating beliefs in light of new evidence. ### Key Concepts: 1. **Prior Distribution**: This represents the initial beliefs about a parameter before observing any data. In Bayesian analysis, one needs to specify this prior.
Nonparametric Bayesian statistics is a branch of statistical theory that focuses on methods that do not assume a fixed number of parameters for a statistical model, allowing for flexibility in how the model can adapt to the data. Instead of specifying a predetermined form for the distribution or the underlying process, nonparametric Bayesian methods utilize infinite-dimensional models, which can grow in complexity as more data become available.
In decision theory, an **admissible decision rule** refers to a decision-making strategy that is considered acceptable or valid under certain conditions. Specifically, admissibility typically refers to a rule that cannot be improved upon by any other rule with respect to a specific criterion of performance.
Bayesian interpretation of kernel regularization provides a probabilistic framework for understanding regularization techniques commonly used in machine learning, particularly in the context of kernel methods. Regularization is generally employed to prevent overfitting by imposing a penalty on the complexity of the model. In Bayesian terms, this can be interpreted in terms of prior distributions on model parameters.
In Bayesian statistics, a **strong prior** refers to a prior distribution that has a significant influence on the posterior distribution, particularly when the available data is limited or not very informative. In Bayesian analysis, the prior distribution represents the beliefs or knowledge about a parameter before observing any data. When we have a strong prior, it typically means that the prior is sharply peaked or has substantial weight in certain regions of the parameter space, which affects the resulting posterior distribution after data is incorporated.
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!
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 2. You can publish local OurBigBook lightweight markup files to either OurBigBook.com or as a static website.Figure 3. Visual Studio Code extension installation.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. - 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