Yao Paul (88 results)

Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Paperback. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

paperback. Condition: Good. Softcover book, light wear to cover and book edges.

paperback. Condition: New. In shrink wrap. Looks like an interesting title.

Soft cover. Condition: Good to Very Good. Dust Jacket Included. First Paperback Ed. & 1st Printing.. Inventory # D719-1 FATE (Pulp Digest Magazine); Vol. 29, No. 7, Issue 316, July 1976 True Stories on The Strange, The Unusual, The Unknown Published by Highland Park, IL: Clark Publishing Company ** ARTICLES AND STORIES (1) Swing Lower, Sweet Chariots of the Gods! by Edmund S. Meltzer (2) The Day I Died by Raymond M. Strickland, Sr. (3) My Co-Workers Branded Me Navy Witch by Jeani Woodside (4) Use Your Body to Control Your Mind by Paul F. Grim (5) Hawaiian Kahuna Saved My Sanity by Yao Shen (6) Perils Involved in Fingertip Vision by Larry Ashby (7) The Girl in the Tigers Teeth by K. E. Henry-Anderson (8) Giant Octopus or Whale? by Gary Mangiacopra PRICE = $9; G/VG; sticker on fc; ** AUTHORS; Edmund S. Meltzer; Raymond M. Strickland, Sr.; Jeani Woodside; Paul F. Grim; Yao Shen; Larry Ashby; K. E. Henry-Anderson; Gary Mangiacopra Size: 12mo - over 6¾" - 7¾" tall. Book. …

Condition: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Condition: New. In English.

Condition: 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.

Hardcover. Condition: Good. No Jacket. hardback, pictorial glazed boards, dust wrapper not called for. A tightly bound copy with a clean and unmarked text, but lacking the front free endpaper. Colour plates, xxii + 275pp.

Paperback. Condition: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Softcover. Condition: Fine. Leichte Kratzer / Abnutzungen / Druckstellen; Leichte Gebrauchsspuren; Leichte Verformung / umgeknickte Seiten; Leichte Verschmutzung / Farbtonveränderung. We are pleased to present the proceedings from the Sixth International Conference on Parallel Problem Solving from Nature, held in Paris, France, from September 18-20, 2000. This event was organized alongside the Genetic and Evolutionary Computing Conference and the Congress on Evolutionary Computation, highlighting the fruitful collaboration between European and U.S. activities in natural computation. Since its inception in 1990 in Dortmund, Germany, this biannual conference has taken place in various locations, including Brussels, Jerusalem, Berlin, and Amsterdam, with Paris chosen as the site for the 2000 gathering, led by general chair Marc Schoenauer. The conference's scientific focus centers on problem-solving paradigms inspired by natural models. Natural Computing employs metaphorical concepts and mechanisms from natural systems, such as evolutionary processes involving mutation, recombination, and selection, as well as physical phenomena like annealing and punctuated equilibrium. It also encompasses growth processes in nature and economics, collective intelligence in biology, DNA-based computing in molecular chemistry, and multi-cellular behaviors in neural and immune networks.…

Condition: Good. *FREE domestic shipping until Monday, October. 19* 914 pp., Paperback, ex library, 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.…

Paperback. Condition: Brand New. revised edition. 172 pages. 7.80x5.30x0.40 inches. In Stock.

Softcover. Condition: Very Good. No Jacket. French text. The wraps are tidy overall with little edge wear. The binding is secure. The pages are clear with no ink inscriptions or annotations. JHK. Our orders are shipped using tracked courier delivery services.

Condition: New.

Condition: New.

Paperback. Condition: Very Good. 1st edition. Borland C++ 4.0, Programming for Windows by Paul Yao. Published by Randon House Electronic Publishing, New York, NY, 1994. 1st Stated Edition. Paperback. No DJ. Size 8vo (up to 9-1/2'' tall). Condition: V-Fine. 788 Pgs. ISBN 0679751467. Covers both Windows 3.1 and Win32. With a foreword by Philippe Kahn, CEO, Borland International. Description text copyright 2002 BooksForComfort. Item ID 5940. book.…

Condition: New.

Paperback. Condition: New. 1st. Bayesian statistics and statistical practice have evolved over the years, driven by advancements in theory, methods, and computational tools. Bayesian Workflow explores the intricate workflows of applied Bayesian statistics, aiming to uncover the tacit knowledge often overlooked in published papers and textbooks. By systematizing the process of Bayesian model development, the book seeks to improve applied analyses and inspire future innovations in theory, methods, and software. It emphasizes the importance of iterative model building, model checking, computational troubleshooting, and simulated-data experimentation, offering a comprehensive perspective on statistical analysis.Through detailed examples and practical guidance, the book bridges the gap between theory and application, empowering practitioners and researchers to navigate the complexities of Bayesian inference. It is not a checklist or cookbook but a flexible framework for understanding and resolving challenges in statistical modeling and decision-making under uncertainty.FeaturesCovers all aspects of Bayesian statistical workflow, including model building, inference, validation, troubleshooting, and understandingDemonstrates iterative model development and computational problem-solving through real-world case studiesExplores computational challenges, calibration checking, and connections between modeling and computationHighlights the importance of checking models under diverse conditions to understand their limitations and improve their robustnessDiscusses how Bayesian principles apply to non-Bayesian methods in statistics and machine learningIncludes code snippets, exercises, and links to full datasets and code in R and Stan, with applicability to other programming environments like Python and JuliaThis book is designed for practitioners of applied Bayesian statistics, particularly users of probabilistic programming languages such as Stan, as well as developers of methods and software tailored to these users. It also targets researchers in Bayesian theory and methods, offering insights into understudied aspects of statistical workflows. Instructors and students will find adaptable exercises and case studies to enhance their learning experience. Beyond Bayesian inference, the book's principles are relevant to users of non-Bayesian methods, making it a valuable resource for statisticians, data scientists, and machine learning professionals seeking to improve their modeling and decision-making processes.…

Paperback. Condition: Good. Good - Bumped and creased book with tears to the extremities, but not affecting the text block, may have remainder mark or previous owner's name - GOOD Oversized.

Paperback. Condition: Acceptable. Acceptable - This is a significantly damaged book. It should be considered a reading copy only. Please order this book only if you are interested in the content and not the condition. May be ex-library. Oversized. PAPERBACK.

Condition: New.

Paperback. Condition: New. 1st. Bayesian statistics and statistical practice have evolved over the years, driven by advancements in theory, methods, and computational tools. Bayesian Workflow explores the intricate workflows of applied Bayesian statistics, aiming to uncover the tacit knowledge often overlooked in published papers and textbooks. By systematizing the process of Bayesian model development, the book seeks to improve applied analyses and inspire future innovations in theory, methods, and software. It emphasizes the importance of iterative model building, model checking, computational troubleshooting, and simulated-data experimentation, offering a comprehensive perspective on statistical analysis.Through detailed examples and practical guidance, the book bridges the gap between theory and application, empowering practitioners and researchers to navigate the complexities of Bayesian inference. It is not a checklist or cookbook but a flexible framework for understanding and resolving challenges in statistical modeling and decision-making under uncertainty.FeaturesCovers all aspects of Bayesian statistical workflow, including model building, inference, validation, troubleshooting, and understandingDemonstrates iterative model development and computational problem-solving through real-world case studiesExplores computational challenges, calibration checking, and connections between modeling and computationHighlights the importance of checking models under diverse conditions to understand their limitations and improve their robustnessDiscusses how Bayesian principles apply to non-Bayesian methods in statistics and machine learningIncludes code snippets, exercises, and links to full datasets and code in R and Stan, with applicability to other programming environments like Python and JuliaThis book is designed for practitioners of applied Bayesian statistics, particularly users of probabilistic programming languages such as Stan, as well as developers of methods and software tailored to these users. It also targets researchers in Bayesian theory and methods, offering insights into understudied aspects of statistical workflows. Instructors and students will find adaptable exercises and case studies to enhance their learning experience. Beyond Bayesian inference, the book's principles are relevant to users of non-Bayesian methods, making it a valuable resource for statisticians, data scientists, and machine learning professionals seeking to improve their modeling and decision-making processes.…

Condition: New. Print on Demand.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Kartoniert / Broschiert. Condition: New. Andrew Gelman is a professor of statistics and political science at Columbia UniversityAki Vehtari is a professor of computer science at Aalto UniversityRichard McElreath is the director of the Max Planck Institute for .