Permutation and Randomization Tests for Trading System Development

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Publisher :
ISBN 13 :
Total Pages : 173 pages
Book Rating : 4.6/5 (78 download)

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Book Synopsis Permutation and Randomization Tests for Trading System Development by : Timothy Masters

Download or read book Permutation and Randomization Tests for Trading System Development written by Timothy Masters and published by . This book was released on 2020-02-12 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the trading system developer with a powerful set of statistical tools for measuring vital aspects of performance that are ignored by most developers. All algorithms include intuitive justification, basic theory, all relevant equations, and highly commented C++ code for complete programs that run in a Windows Command Console. Reprogramming them in other languages should be easy, given the detailed explanations of each algorithm. The following topics are covered: Testing for overfitting at the earliest possible stage Evaluating the luckiness-versus-skill of a fully developed system before deploying it Testing the effectiveness and reliability of a trading system factory Removing selection bias when screening a large number of indicators Probability bounds for future mean returns Bounding typical and catastrophic future drawdowns Is the best indicator or model in a competition truly the best, or just the luckiest? Which markets provide truly superior profits for your trading system? What holding time for your system provides the best risk/return performance?

Testing and Tuning Market Trading Systems

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Publisher : Apress
ISBN 13 : 1484241738
Total Pages : 325 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Testing and Tuning Market Trading Systems by : Timothy Masters

Download or read book Testing and Tuning Market Trading Systems written by Timothy Masters and published by Apress. This book was released on 2018-10-26 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build, test, and tune financial, insurance or other market trading systems using C++ algorithms and statistics. You’ve had an idea and have done some preliminary experiments, and it looks promising. Where do you go from here? Well, this book discusses and dissects this case study approach. Seemingly good backtest performance isn't enough to justify trading real money. You need to perform rigorous statistical tests of the system's validity. Then, if basic tests confirm the quality of your idea, you need to tune your system, not just for best performance, but also for robust behavior in the face of inevitable market changes. Next, you need to quantify its expected future behavior, assessing how bad its real-life performance might actually be, and whether you can live with that. Finally, you need to find its theoretical performance limits so you know if its actual trades conform to this theoretical expectation, enabling you to dump the system if it does not live up to expectations. This book does not contain any sure-fire, guaranteed-riches trading systems. Those are a dime a dozen... But if you have a trading system, this book will provide you with a set of tools that will help you evaluate the potential value of your system, tweak it to improve its profitability, and monitor its on-going performance to detect deterioration before it fails catastrophically. Any serious market trader would do well to employ the methods described in this book. What You Will Learn See how the 'spaghetti-on-the-wall' approach to trading system development can be done legitimatelyDetect overfitting early in developmentEstimate the probability that your system's backtest results could have been due to just good luckRegularize a predictive model so it automatically selects an optimal subset of indicator candidatesRapidly find the global optimum for any type of parameterized trading systemAssess the ruggedness of your trading system against market changesEnhance the stationarity and information content of your proprietary indicatorsNest one layer of walkforward analysis inside another layer to account for selection bias in complex trading systemsCompute a lower bound on your system's mean future performanceBound expected periodic returns to detect on-going system deterioration before it becomes severeEstimate the probability of catastrophic drawdown Who This Book Is For Experienced C++ programmers, developers, and software engineers. Prior experience with rigorous statistical procedures to evaluate and maximize the quality of systems is recommended as well.

Cybernetic Trading Strategies

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Publisher : John Wiley & Sons
ISBN 13 : 9780471149200
Total Pages : 344 pages
Book Rating : 4.1/5 (492 download)

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Book Synopsis Cybernetic Trading Strategies by : Murray A. Ruggiero

Download or read book Cybernetic Trading Strategies written by Murray A. Ruggiero and published by John Wiley & Sons. This book was released on 1997-07-01 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ein Überblick über die aktuellsten Technologien zum Aufbau einer Handelsstrategie: neuronale Netzwerke, genetische Algorithmen, Expertensysteme, Fuzzy logic und statistische Mustererkennung. Gezeigt wird, wie diese neuen Methoden in klassische Analysenverfahren integriert werden können. Auch Erläuterungen zur Prüfung und Bewertung existierender Systeme kommen nicht zu kurz.

Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments

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Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781489507716
Total Pages : 0 pages
Book Rating : 4.5/5 (77 download)

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Book Synopsis Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments by : David Aronson

Download or read book Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments written by David Aronson and published by Createspace Independent Publishing Platform. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book serves two purposes. First, it teaches the importance of using sophisticated yet accessible statistical methods to evaluate a trading system before it is put to real-world use. In order to accommodate readers having limited mathematical background, these techniques are illustrated with step-by-step examples using actual market data, and all examples are explained in plain language. Second, this book shows how the free program TSSB (Trading System Synthesis & Boosting) can be used to develop and test trading systems. The machine learning and statistical algorithms available in TSSB go far beyond those available in other off-the-shelf development software. Intelligent use of these state-of-the-art techniques greatly improves the likelihood of obtaining a trading system whose impressive backtest results continue when the system is put to use in a trading account. Among other things, this book will teach the reader how to: Estimate future performance with rigorous algorithms Evaluate the influence of good luck in backtests Detect overfitting before deploying your system Estimate performance bias due to model fitting and selection of seemingly superior systems Use state-of-the-art ensembles of models to form consensus trade decisions Build optimal portfolios of trading systems and rigorously test their expected performance Search thousands of markets to find subsets that are especially predictable Create trading systems that specialize in specific market regimes such as trending/flat or high/low volatility More information on the TSSB program can be found at TSSBsoftware dot com.

Randomization Tests

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Publisher :
ISBN 13 :
Total Pages : 310 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis Randomization Tests by : Eugene S. Edgington

Download or read book Randomization Tests written by Eugene S. Edgington and published by . This book was released on 1980 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Random assignment; Calculating significance values; One-way analysis of variance and the independent t test; Repeated-measures analysis of variance and the correlated t test; Factorial designs; Multivariate designs; Correlation; Trend tests; One-subject randomization tests.

Modern Data Mining Algorithms in C++ and CUDA C

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Publisher : Apress
ISBN 13 : 1484259882
Total Pages : 233 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Modern Data Mining Algorithms in C++ and CUDA C by : Timothy Masters

Download or read book Modern Data Mining Algorithms in C++ and CUDA C written by Timothy Masters and published by Apress. This book was released on 2020-06-05 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates, or extracting useful features from measured variables. As a serious data miner you will often be faced with thousands of candidate features for your prediction or classification application, with most of the features being of little or no value. You’ll know that many of these features may be useful only in combination with certain other features while being practically worthless alone or in combination with most others. Some features may have enormous predictive power, but only within a small, specialized area of the feature space. The problems that plague modern data miners are endless. This book helps you solve this problem by presenting modern feature selection techniques and the code to implement them. Some of these techniques are: Forward selection component analysis Local feature selection Linking features and a target with a hidden Markov modelImprovements on traditional stepwise selectionNominal-to-ordinal conversion All algorithms are intuitively justified and supported by the relevant equations and explanatory material. The author also presents and explains complete, highly commented source code. The example code is in C++ and CUDA C but Python or other code can be substituted; the algorithm is important, not the code that's used to write it. What You Will Learn Combine principal component analysis with forward and backward stepwise selection to identify a compact subset of a large collection of variables that captures the maximum possible variation within the entire set. Identify features that may have predictive power over only a small subset of the feature domain. Such features can be profitably used by modern predictive models but may be missed by other feature selection methods. Find an underlying hidden Markov model that controls the distributions of feature variables and the target simultaneously. The memory inherent in this method is especially valuable in high-noise applications such as prediction of financial markets.Improve traditional stepwise selection in three ways: examine a collection of 'best-so-far' feature sets; test candidate features for inclusion with cross validation to automatically and effectively limit model complexity; and at each step estimate the probability that our results so far could be just the product of random good luck. We also estimate the probability that the improvement obtained by adding a new variable could have been just good luck. Take a potentially valuable nominal variable (a category or class membership) that is unsuitable for input to a prediction model, and assign to each category a sensible numeric value that can be used as a model input. Who This Book Is For Intermediate to advanced data science programmers and analysts.

Randomization Tests, Fourth Edition

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Publisher : CRC Press
ISBN 13 : 9780824796693
Total Pages : 444 pages
Book Rating : 4.7/5 (966 download)

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Book Synopsis Randomization Tests, Fourth Edition by : Eugene Edgington

Download or read book Randomization Tests, Fourth Edition written by Eugene Edgington and published by CRC Press. This book was released on 1995-07-25 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: The material in this work is organized in such as way as to illustrate how randomization tests are related to topics in parametric and traditional nonparametric statistics. The work extends the scope of applications by freeing tests from parametric assumptions without reducing data to ranks. This edition provides many new features, including more accessible terminology to clarify understanding, a current analysis of single-unit experiments as well as single-subject experiments, a discussion on how single-subject experiments relate to repeated-measures experiments and the use of randomized tests in single-patient research, and more.

Adobe Illustrator CS2 How-Tos

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Publisher : Adobe Press
ISBN 13 : 0321335406
Total Pages : 271 pages
Book Rating : 4.3/5 (213 download)

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Book Synopsis Adobe Illustrator CS2 How-Tos by : David Karlins

Download or read book Adobe Illustrator CS2 How-Tos written by David Karlins and published by Adobe Press. This book was released on 2005 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Easy-to-scan guide makes quick work of the most useful features of Adobe Illustrator CS2!

Design and Analysis of Distributed Algorithms

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Publisher : John Wiley & Sons
ISBN 13 : 0470072636
Total Pages : 730 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Design and Analysis of Distributed Algorithms by : Nicola Santoro

Download or read book Design and Analysis of Distributed Algorithms written by Nicola Santoro and published by John Wiley & Sons. This book was released on 2006-11-03 with total page 730 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text is based on a simple and fully reactive computational model that allows for intuitive comprehension and logical designs. The principles and techniques presented can be applied to any distributed computing environment (e.g., distributed systems, communication networks, data networks, grid networks, internet, etc.). The text provides a wealth of unique material for learning how to design algorithms and protocols perform tasks efficiently in a distributed computing environment.

Synchronization and Arbitration in Digital Systems

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Publisher : John Wiley & Sons
ISBN 13 : 9780470517130
Total Pages : 280 pages
Book Rating : 4.5/5 (171 download)

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Book Synopsis Synchronization and Arbitration in Digital Systems by : David J. Kinniment

Download or read book Synchronization and Arbitration in Digital Systems written by David J. Kinniment and published by John Wiley & Sons. This book was released on 2008-02-28 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today’s networks of processors on and off chip, operating with independent clocks, need effective synchronization of the data passing between them for reliability. When two or more processors request access to a common resource, such as a memory, an arbiter has to decide which request to deal with first. Current developments in integrated circuit processing are leading to an increase in the numbers of independent digital processing elements in a single system. With this comes faster communications, more networks on chip, and the demand for more reliable, more complex, and higher performance synchronizers and arbiters. Written by one of the foremost researchers in this area of digital design, this authoritative text provides in-depth theory and practical design solutions for the reliable working of synchronization and arbitration hardware in digital systems. The book provides methods for making real reliability measurements both on and off chip, evaluating some of the common difficulties and detailing circuit solutions at both circuit and system levels. Synchronization and Arbitration in Digital Systems also presents: mathematical models used to estimate mean time between failures in digital systems; a summary of serial and parallel communication techniques for on-chip data transmission; explanations on how to design a wrapper for a locally synchronous cell, highlighting the issues associated with stoppable clocks; an examination of various types of priority arbiters, using signal transition graphs to show the specification of different designs (from the simplest to more complex multi-way arbiters) including ways of solving problems encountered in a wide range of applications; essential information on systems composed of independently timed regions, including a discussion on the problem of choice and the factors affecting the time taken to make choices in electronics. With its logical approach to design methodology, this will prove an invaluable guide for electronic and computer engineers and researchers working on the design of digital electronic hardware. Postgraduates and senior undergraduate students studying digital systems design as part of their electronic engineering course will struggle to find a resource that better details the information given inside this book

Competing Through Innovation

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Publisher : Edward Elgar Publishing
ISBN 13 :
Total Pages : 528 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Competing Through Innovation by : David J. Teece

Download or read book Competing Through Innovation written by David J. Teece and published by Edward Elgar Publishing. This book was released on 2013 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: This cohesive collection brings together David J. Teece's most important work on the nexus of innovation and competition policy. He was one of the first to flag the importance of innovation issues to competition policy 25 years ago. He has also pioneered the application of economic and organizational principles to issues in the management of innovation. Throughout these essays, Professor Teece shows how technological advances, the advent of the Internet and other recent shifts in the global business landscape have placed businesses in a radically altered situation from even just a few decades ago. He clearly elucidates the need for both businesses and policymakers to adapt to this rapidly evolving landscape by embracing and fostering next-generation competition policies. Topics discussed include antitrust policy, technology strategies, competition policy, market power and intellectual property issues. Students and professors of business and management, innovation studies, intellectual property and competition lawyers will find this volume a critical asset to their work. Policymakers and regulators will also benefit immensely from this lucid and comprehensive collection.

Mathematics and Computation

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Publisher : Princeton University Press
ISBN 13 : 0691189137
Total Pages : 434 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Mathematics and Computation by : Avi Wigderson

Download or read book Mathematics and Computation written by Avi Wigderson and published by Princeton University Press. This book was released on 2019-10-29 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to computational complexity theory, its connections and interactions with mathematics, and its central role in the natural and social sciences, technology, and philosophy Mathematics and Computation provides a broad, conceptual overview of computational complexity theory—the mathematical study of efficient computation. With important practical applications to computer science and industry, computational complexity theory has evolved into a highly interdisciplinary field, with strong links to most mathematical areas and to a growing number of scientific endeavors. Avi Wigderson takes a sweeping survey of complexity theory, emphasizing the field’s insights and challenges. He explains the ideas and motivations leading to key models, notions, and results. In particular, he looks at algorithms and complexity, computations and proofs, randomness and interaction, quantum and arithmetic computation, and cryptography and learning, all as parts of a cohesive whole with numerous cross-influences. Wigderson illustrates the immense breadth of the field, its beauty and richness, and its diverse and growing interactions with other areas of mathematics. He ends with a comprehensive look at the theory of computation, its methodology and aspirations, and the unique and fundamental ways in which it has shaped and will further shape science, technology, and society. For further reading, an extensive bibliography is provided for all topics covered. Mathematics and Computation is useful for undergraduate and graduate students in mathematics, computer science, and related fields, as well as researchers and teachers in these fields. Many parts require little background, and serve as an invitation to newcomers seeking an introduction to the theory of computation. Comprehensive coverage of computational complexity theory, and beyond High-level, intuitive exposition, which brings conceptual clarity to this central and dynamic scientific discipline Historical accounts of the evolution and motivations of central concepts and models A broad view of the theory of computation's influence on science, technology, and society Extensive bibliography

Introduction to Property Testing

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Publisher : Cambridge University Press
ISBN 13 : 1107194059
Total Pages : 473 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Introduction to Property Testing by : Oded Goldreich

Download or read book Introduction to Property Testing written by Oded Goldreich and published by Cambridge University Press. This book was released on 2017-11-23 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: An extensive and authoritative introduction to property testing, the study of super-fast algorithms for the structural analysis of large quantities of data in order to determine global properties. This book can be used both as a reference book and a textbook, and includes numerous exercises.

The R Book

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Publisher : John Wiley & Sons
ISBN 13 : 9780470515068
Total Pages : 953 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis The R Book by : Michael J. Crawley

Download or read book The R Book written by Michael J. Crawley and published by John Wiley & Sons. This book was released on 2007-06-13 with total page 953 pages. Available in PDF, EPUB and Kindle. Book excerpt: The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.

Modern Cybersecurity Practices

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Publisher : BPB Publications
ISBN 13 : 938932825X
Total Pages : 474 pages
Book Rating : 4.3/5 (893 download)

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Book Synopsis Modern Cybersecurity Practices by : Pascal Ackerman

Download or read book Modern Cybersecurity Practices written by Pascal Ackerman and published by BPB Publications. This book was released on 2020-04-30 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical book that will help you defend against malicious activities Ê DESCRIPTIONÊ Modern Cybersecurity practices will take you on a journey through the realm of Cybersecurity. The book will have you observe and participate in the complete takeover of the network of Company-X, a widget making company that is about to release a revolutionary new widget that has the competition fearful and envious. The book will guide you through the process of the attack on Company-XÕs environment, shows how an attacker could use information and tools to infiltrate the companies network, exfiltrate sensitive data and then leave the company in disarray by leaving behind a little surprise for any users to find the next time they open their computer. Ê After we see how an attacker pulls off their malicious goals, the next part of the book will have your pick, design, and implement a security program that best reflects your specific situation and requirements. Along the way, we will look at a variety of methodologies, concepts, and tools that are typically used during the activities that are involved with the design, implementation, and improvement of oneÕs cybersecurity posture. Ê After having implemented a fitting cybersecurity program and kickstarted the improvement of our cybersecurity posture improvement activities we then go and look at all activities, requirements, tools, and methodologies behind keeping an eye on the state of our cybersecurity posture with active and passive cybersecurity monitoring tools and activities as well as the use of threat hunting exercises to find malicious activity in our environment that typically stays under the radar of standard detection methods like firewall, IDSÕ and endpoint protection solutions. Ê By the time you reach the end of this book, you will have a firm grasp on what it will take to get a healthy cybersecurity posture set up and maintained for your environment. Ê KEY FEATURESÊ - Learn how attackers infiltrate a network, exfiltrate sensitive data and destroy any evidence on their way out - Learn how to choose, design and implement a cybersecurity program that best fits your needs - Learn how to improve a cybersecurity program and accompanying cybersecurity posture by checks, balances and cyclic improvement activities - Learn to verify, monitor and validate the cybersecurity program by active and passive cybersecurity monitoring activities - Learn to detect malicious activities in your environment by implementing Threat Hunting exercises WHAT WILL YOU LEARNÊ - Explore the different methodologies, techniques, tools, and activities an attacker uses to breach a modern companyÕs cybersecurity defenses - Learn how to design a cybersecurity program that best fits your unique environment - Monitor and improve oneÕs cybersecurity posture by using active and passive security monitoring tools and activities. - Build a Security Incident and Event Monitoring (SIEM) environment to monitor risk and incident development and handling. - Use the SIEM and other resources to perform threat hunting exercises to find hidden mayhemÊ Ê WHO THIS BOOK IS FORÊ This book is a must-read to everyone involved with establishing, maintaining, and improving their Cybersecurity program and accompanying cybersecurity posture. Ê TABLE OF CONTENTSÊ 1. WhatÕs at stake 2. Define scope 3.Adhere to a security standard 4. Defining the policies 5. Conducting a gap analysis 6. Interpreting the analysis results 7. Prioritizing remediation 8. Getting to a comfortable level 9. Conducting a penetration test. 10. Passive security monitoring. 11. Active security monitoring. 12. Threat hunting. 13. Continuous battle 14. Time to reflect

Bayesian Data Analysis, Third Edition

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Publisher : CRC Press
ISBN 13 : 1439840954
Total Pages : 677 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Bayesian Data Analysis, Third Edition by : Andrew Gelman

Download or read book Bayesian Data Analysis, Third Edition written by Andrew Gelman and published by CRC Press. This book was released on 2013-11-01 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

The Growth Roadmap

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Publisher :
ISBN 13 : 9781781194508
Total Pages : 142 pages
Book Rating : 4.1/5 (945 download)

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Book Synopsis The Growth Roadmap by : PAUL. O'DEA

Download or read book The Growth Roadmap written by PAUL. O'DEA and published by . This book was released on 2020-12 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scaling a company successfully is hard. The team has to keep existing customers happy while trying to win new customers and see off current competition - all whilst innovating to stay ahead of future trends. The Growth Roadmap(R) is designed to help your team scale successfully. It makes scaling growth a continuous process, owned not just by the leadership team but by the whole company.The Growth Roadmap(R) breaks the scaling challenge down into five interdependent stages, each of which addresses one of the following questions: Where are you today? (Diagnosis) Where do you want to get to? (Vision) How will you get there? (Strategy) What challenges do you need to address? (Scaling) How will you ensure you stick to the plan? (Growth) Based on field-tested approaches, The Growth Roadmap(R) provides you with an armoury of best practices, worksheets, team exercises and practical examples guaranteed to magnify your teams ability to scale and achieve world-class results - every time.