statistical complexity (311 resultados)

Paperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

hardcover. Condición: Good. slightly bent boards, pages clean. text bound upside-down from the cover.

Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condición: Used - Very Good. 2006. paperback. Pap. Minor shelf wear; sunning to spine. Else a bright, clean copy. Very Good.

Condición: Hervorragend. Zustand: Hervorragend | Seiten: 296 | Sprache: Englisch | Produktart: Bücher.

Hardcover. Condición: New. ISBN:9780198865254,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.

Paperback. Condición: New. Usually Dispatched within 1-2 Business Days , Buy with confidence , excellent customer service.

Pamphlet. Condición: Very Good. Vol 12, No 3, July, 1965, pp. 364-375, Extracted from orig vol, thus begins with title page, trimmed & stapled pamphlet, last page in facsimile else VG.

hardcover. Condición: Gut. 450 Seiten; 9783527410941.3 Gewicht in Gramm: 2.

Condición: New.

Condición: Sehr gut. Zustand: Sehr gut | Seiten: 316 | Sprache: Englisch | Produktart: Bücher.

Condición: Bueno. 65979 Sethna, James P. 2006 Oxford University Press, 2006. Col. Oxford Master Series in Statistical, Computational, and Theoretical Physics. Como nuevo. 349 págs. 19x25 Física nuclear,Física cuántica,Matemáticas,Historia y filosofía de la Ciencia SOLICITE NUESTRO CATÁLOGO DE FÍSICA, MATEMÁTICAS Y CIENCIAS: Philosophy Of Science, History Of Science, Set Theory And Mathematical Logic, Algebra, Mathematical Analysis, Functional Analysis, Probability And Statistics, Numerical Calculus, Mathematical-Physics, Newtonian Mechanics, Analytical Mechanics, Electromagnetism And Electromagnetic Field Theory, Relativity Special, General Relativity, Non-Relativistic Quantum Mechanics, Thermodynamics And Statistical Physics, Atomic And Nuclear Physics, Condensed Matter Theory, Quantum Field Theory, Elementary Particle Physics, Cosmology.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - No statistical model is 'true' or 'false,' 'right' or 'wrong'; the models just have varying performance, which can be assessed. The main theme in this book is to teach modeling based on the principle that the objective is to extract the information from data that can be learned with suggested classes of probability models. The intuitive and fundamental concepts of complexity, learnable information, and noise are formalized, which provides a firm information theoretic foundation for statistical modeling. Inspired by Kolmogorov's structure function in the algorithmic theory of complexity, this is accomplished by finding the shortest code length, called the stochastic complexity, with which the data can be encoded when advantage is taken of the models in a suggested class, which amounts to the MDL (Minimum Description Length) principle. The complexity, in turn, breaks up into the shortest code length for the optimal model in a set of models that can be optimally distinguished from the given data and the rest, which defines 'noise' as the incompressible part in the data without useful information.Such a view of the modeling problem permits a unified treatment of any type of parameters, their number, and even their structure. Since only optimally distinguished models are worthy of testing, we get a logically sound and straightforward treatment of hypothesis testing, in which for the first time the confidence in the test result can be assessed. Although the prerequisites include only basic probability calculus and statistics, a moderate level of mathematical proficiency would be beneficial. The different and logically unassailable view of statistical modelling should provide excellent grounds for further research and suggest topics for graduate students in all fields of modern engineering, including and not restricted to signal and image processing, bioinformatics, pattern recognition, and machine learning to mention just a few.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data gathering is a constant in human history with ever increasing amounts in quantity and dimensionality. To get a feel for the data, make it interpretable, or find underlying laws it is necessary to fit a function to the finite and possibly noisy data. In this thesis we focus on a method achieving this, namely least squares approximation. Its discovery dates back to around 1800 and it has since then proven to be an indispensable tool which is efficient and has the capability to achieve optimal error when used right.Crucial for the least squares method are the ansatz functions and the sampling points. To discuss them, we gather tools from probability theory, frame subsampling, and L2-Marcinkiewicz-Zygmund inequalities. With that we give results in the worst-case or minmax setting, when a set of points is sought for approximating a class of functions, which we model as a generic reproducing kernel Hilbert space. Further, we give error bounds in the statistical learning setting for approximating individual functions from possibly noisy samples. Here, we include the covariate-shift setting as a subfield of transfer learning. In a natural way a parameter choice question arises for balancing over- and underfitting effect. We tackle this by using the cross-validation score, for which we show a fast way of computing as well as prove the goodness thereof. 212 pp. Englisch.

Condición: New. In.

Condición: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp. NOT AVAILABLE FOR SHIPMENT OUTSIDE OF THE UNITED STATES.

Condición: New. In.

Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Hardcover. Condición: As New. 1st Edition. From publisher's library. Bookplate on inside cover and library stamp, otherwise book is new, never read, pages clean and crisp, spine unbroken. 0423B.

Condición: acceptable. The cover has visible markings and wear. Some corner dings. There may be stickers, markings, or sticker adhesive on the cover. The pages show normal wear and tear. Codes or product keys that accompany this product may not be valid. Fast Shipping in a Standard Poly Mailer!

Hardcover. Condición: New.

hardcover. Condición: Very Good.

hardcover. Condición: Good. *VALUE PRICED USED BOOK* Book may contain markings, highlights, water damage, and minor cover damage. Used items may not contain supplemental items such as CD, DVD, or other previously included items that would come with a NEW book.

Condición: Very Good. *Price HAS BEEN REDUCED by 10% until Tuesday, Sept. 2 (holiday SALE item)* 177 pp., hardcover, minor library markings else text clean & binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. In "Unraveling Complexity - Simplifying Statistical Connections," the intricate web of statistical relationships is brought to light. This book provides an essential framework for understanding how various statistical elements interconnect, making complex concepts accessible. Readers will discover how to navigate through the often overwhelming landscape of data, transforming confusion into clarity. The author presents a compelling narrative that not only simplifies statistical connections but also enhances the reader's analytical skills. This work is a must-read for anyone seeking to master the art of statistical reasoning and apply it effectively in real-world scenarios. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Condición: New. In.

Condición: New. In.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. "Embracing Complexity - A Practical Guide to Statistical Analysis" serves as an essential resource for those seeking to navigate the intricate world of statistical methods. This guide demystifies complex concepts, providing clear explanations and practical applications. By emphasizing the importance of understanding statistical principles, it equips readers with the skills necessary to analyze data effectively. The insights shared within this practical guide are invaluable for students, researchers, and professionals aiming to enhance their analytical capabilities in diverse fields. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Hardcover. Condición: New. 1st Edition. New book, never read. Pages clean and crisp, spine unbroken. 0223A.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. In this thought-provoking exploration, the author pushes the boundaries of our understanding of statistical mechanics and complexity, probing the frontiers of our knowledge and challenging conventional wisdom. By examining the intricate interplay between order and disorder, the author reveals the hidden patterns and structures that underlie complex systems, offering a fresh perspective on the nature of reality itself. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.