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Author: Jiming Jiang
Publisher: World Scientific
ISBN: 9814596086
Category : Mathematics
Languages : en
Pages : 248
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Book Description
This book is about a recently developed class of strategies, known as the fence methods, which fits particularly well in non-conventional and complex model selection problems with practical considerations. The idea involves a procedure to isolate a subgroup of what are known as correct models, of which the optimal model is a member. This is accomplished by constructing a statistical fence, or barrier, to carefully eliminate incorrect models. Once the fence is constructed, the optimal model is selected from amongst those within the fence according to a criterion which can be made flexible. In particular, the criterion of optimality can incorporate consideration of practical interest, thus making model selection a real life practice.Furthermore, this book introduces a data-driven approach, called adaptive fence, which can be used in a wide range of problems involving determination of tuning parameters, or constants. Instead of relying on asymptotic theory, the fence focuses on finite-sample performance, and computation. Such features are particularly suitable to statistics in the new era.
Author: Jiming Jiang
Publisher: World Scientific
ISBN: 9814596086
Category : Mathematics
Languages : en
Pages : 248
Get Book Here
Book Description
This book is about a recently developed class of strategies, known as the fence methods, which fits particularly well in non-conventional and complex model selection problems with practical considerations. The idea involves a procedure to isolate a subgroup of what are known as correct models, of which the optimal model is a member. This is accomplished by constructing a statistical fence, or barrier, to carefully eliminate incorrect models. Once the fence is constructed, the optimal model is selected from amongst those within the fence according to a criterion which can be made flexible. In particular, the criterion of optimality can incorporate consideration of practical interest, thus making model selection a real life practice.Furthermore, this book introduces a data-driven approach, called adaptive fence, which can be used in a wide range of problems involving determination of tuning parameters, or constants. Instead of relying on asymptotic theory, the fence focuses on finite-sample performance, and computation. Such features are particularly suitable to statistics in the new era.
Author: Coastal Engineering Research Center (U.S.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 36
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Book Description
Author:
Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 614
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Book Description
Author: David Arnold Hill
Publisher: Cambridge University Press
ISBN: 9780521823685
Category : Nature
Languages : en
Pages : 598
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Book Description
This Handbook, first published in 2005, provides standard procedures for planning and conducting a survey of any species or habitat and for evaluating the data.
Author:
Publisher:
ISBN:
Category : Erosion
Languages : en
Pages : 448
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Book Description
Author: Edward Mackay Chace
Publisher:
ISBN:
Category : Raisins
Languages : en
Pages : 948
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Book Description
Author: Aleksandr Nikolaevich Formozov
Publisher:
ISBN:
Category : Animal populations
Languages : en
Pages : 280
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Book Description
Author: Paul Stephen Corn
Publisher:
ISBN:
Category : Amphibians
Languages : en
Pages : 44
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Book Description
Author: Chris Thornton
Publisher: MIT Press
ISBN: 9780262700870
Category : Computers
Languages : en
Pages : 228
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Book Description
Chris Thornton makes the compelling claim that learning is not a passive discovery operation but an active process involving creativity on the part of the learner. This study of learning in autonomous agents offers a bracing intellectual adventure. Chris Thornton makes the compelling claim that learning is not a passive discovery operation but an active process involving creativity on the part of the learner. Although theorists of machine learning tell us that all learning methods contribute some form of bias and thus involve a degree of creativity, Thornton carries the idea much further. He describes an incremental process, recursive relational learning, in which the results of one learning step serve as the basis for the next. Very high-level recodings are then substantially the creative artifacts of the learner's own processing. Lower-level recodings are more "objective" in that their properties are more severely constrained by the source data. Thornton sees consciousness as a process at the outer fringe of relational learning, just prior to the onset of creativity. According to this view, we cannot assume consciousness to be an exclusively human phenomenon, but rather the expected feature of any cognitive mechanism able to engage in extended flights of relational learning. Thornton presents key background material in an entertaining manner, using extensive mental imagery and a minimum of mathematics. Anecdotes and dialogue add to the text's informality.
Author: Steven Finz
Publisher: Aspen Publishing
ISBN: 1543813488
Category : Study Aids
Languages : en
Pages : 976
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Book Description
Strategies & Tactics for the FINZ Multistate Method, Fifth Edition, is an indispensable tool for both law school exams and the Multistate Bar Exam. It features more than 1200 multiple-choice questions and detailed answers unavailable elsewhere. Students will benefit from: More than 1200 multiple-choice questions and answers: Each question contains a sophisticated and intricate fact pattern that tests your ability to pull out the essential facts and tie them to the rules and theories you’ve learned in class. The answers not only explain the reasoning behind the correct choice, but also why the other choices are incorrect. Coverage of first-year subjects: Questions and detailed answers for each first-year course—Civil Procedure, Constitutional Law, Contracts, Criminal Law (including Criminal Procedure), Property (including Future Interests), and Torts—as well as the upper-year subject of Evidence. Supplemental questions for your bar review: Every question is written in the Multistate Bar Exam (MBE) style for school exams or MBE preparation and complies with the latest MBE formats. If you’re taking a bar review course, you still need Strategies & Tactics for the Finz Multistate Method because the questions are written in the MBE style and format, but are not actual released exam questions, so we guarantee you’ve never seen these questions before in your MBE review materials. Special section on how to handle MBE-style questions: The book includes an in-depth guide, “Strategies & Tactics—Playing the MBE Game to Win,” on handling the MBE and MBE-style multiple-choice questions—how to break the question down to the essential facts, how to recognize the legal issues, how to avoid the examiners’ traps and pitfalls, and how to pick the right answer and avoid being misled by the wrong answers. Complete MBE-style practice exam: The book comes with a complete 200-question practice exam, with detailed answers that explain the reasoning behind the correct choice and why each of the other choices is incorrect.
