Products related to Inference:
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Inference and Learning from Data: Volume 2 : Inference
This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehensive introduction to the full spectrum of mathematical and statistical techniques underpinning contemporary methods in data-driven learning and inference.This second volume, Inference, builds on the foundational topics established in volume I to introduce students to techniques for inferring unknown variables and quantities, including Bayesian inference, Monte Carlo Markov Chain methods, maximum-likelihood estimation, hidden Markov models, Bayesian networks, and reinforcement learning.A consistent structure and pedagogy is employed throughout this volume to reinforce student understanding, with over 350 end-of-chapter problems (including solutions for instructors), 180 solved examples, almost 200 figures, datasets and downloadable Matlab code.Supported by sister volumes Foundations and Learning, and unique in its scale and depth, this textbook sequence is ideal for early-career researchers and graduate students across many courses in signal processing, machine learning, statistical analysis, data science and inference.
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Statistical Inference
This book builds theoretical statistics from the first principles of probability theory.Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts.Intended for first-year graduate students, this book can be used for students majoring in statistics who have a solid mathematics background.It can also be used in a way that stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures for a variety of situations, and less concerned with formal optimality investigations.
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Leadership Assessment for Talent Development
For professionals responsible for talent management and development, assessing competence and capability is crucial, especially in relation to recruiting the right leader.Yet talent professionals can also use leadership assessment as a positive and powerful talent development tool.Leadership Assessment for Talent Development goes beyond recruitment to position assessment as a central, strategic activity.It demonstrates how to apply a connected process that accelerates behavioural change areas and facilitates the engagement and enabling of in-house talent.This practical, forward-looking book uses authentic, engaging case studies to show how the principles of leadership assessment can work in practice.It is an essential companion for HR and talent professionals in any field who want to equip their company with the talent it needs to be fit for business success.
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Reshaping Entrepreneurship Education With Strategy and Innovation
New small business owners are constantly pressured to play a major role in the economic growth of their respected nation.However, revitalizing how individuals think, research, teach, and implement performance strategies to improve the operations of these small businesses is critical to entrepreneurial success. Reshaping Entrepreneurship Education With Strategy and Innovation is an essential reference source that discusses strategies to overcome performance barriers as well as implementation of effective entrepreneurial processes based on a wide range of global issues.Featuring research on topics such as authentic leadership, business ethics, and social entrepreneurship, this book is ideally designed for entrepreneurs, business professionals, scholars, researchers, students, and practitioners seeking coverage on innovative performance operations of small businesses.
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What is inference in linear regression?
Inference in linear regression refers to the process of drawing conclusions about the relationships between variables based on the estimated coefficients of the regression model. It involves testing hypotheses about the significance of these coefficients and making predictions about the dependent variable. Inference helps us understand the strength and direction of the relationships between the independent and dependent variables, as well as the overall fit of the model to the data. It is an important aspect of linear regression analysis that allows us to make informed decisions and interpretations based on the statistical results.
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What exactly is a mathematical inference in mathematics and computer science?
A mathematical inference in mathematics and computer science is the process of drawing conclusions or making predictions based on existing information or data. In mathematics, this often involves using logical reasoning and mathematical principles to make deductions or prove the validity of a statement. In computer science, mathematical inference can be used in areas such as artificial intelligence and machine learning to make predictions or decisions based on patterns and data. Overall, mathematical inference is a fundamental concept in both fields that allows for the application of logic and reasoning to solve problems and make decisions.
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What is the difference between entrepreneurship, business administration, and international management?
Entrepreneurship focuses on identifying and pursuing opportunities to create new ventures or innovate within existing organizations. Business administration involves the management and operation of a business, including functions such as finance, marketing, and human resources. International management, on the other hand, deals with the challenges and opportunities of managing businesses that operate across different countries and cultures, requiring a deep understanding of global markets and international business practices. Each field has its unique focus and skill set, but they are all interconnected and essential for successful business operations in today's global economy.
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How are logical inference, the Gentzen calculus, and De Morgan's laws correctly derived?
Logical inference is the process of deriving new information from existing knowledge using valid reasoning. The Gentzen calculus is a formal system for representing and manipulating logical inference in a rigorous way. De Morgan's laws, which describe the relationships between logical conjunction and disjunction, can be correctly derived using the rules of the Gentzen calculus, which ensures that the inference process is sound and valid. By following the rules of the Gentzen calculus, one can systematically derive De Morgan's laws and other logical principles in a mathematically rigorous manner.
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Nonparametric Statistical Inference
Praise for previous editions:"… a classic with a long history." – Statistical Papers"The fact that the first edition of this book was published in 1971 … [is] testimony to the book’s success over a long period." – ISI Short Book Reviews"… one of the best books available for a theory course on nonparametric statistics. … very well written and organized … recommended for teachers and graduate students." – Biometrics"… There is no competitor for this book and its comprehensive development and application of nonparametric methods.Users of one of the earlier editions should certainly consider upgrading to this new edition." – Technometrics"… Useful to students and research workers … a good textbook for a beginning graduate-level course in nonparametric statistics." – Journal of the American Statistical AssociationSince its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametrics.The Sixth Edition carries on this tradition and incorporates computer solutions based on R.Features Covers the most commonly used nonparametric procedures States the assumptions, develops the theory behind the procedures, and illustrates the techniques using realistic examples from the social, behavioral, and life sciences Presents tests of hypotheses, confidence-interval estimation, sample size determination, power, and comparisons of competing procedures Includes an Appendix of user-friendly tables needed for solutions to all data-oriented examples Gives examples of computer applications based on R, MINITAB, STATXACT, and SAS Lists over 100 new referencesNonparametric Statistical Inference, Sixth Edition, has been thoroughly revised and rewritten to make it more readable and reader-friendly.All of the R solutions are new and make this book much more useful for applications in modern times.It has been updated throughout and contains 100 new citations, including some of the most recent, to make it more current and useful for researchers.
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Appearance and Inference
Appearance and Inference
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Management, Leadership and Entrepreneurship in Pharmacy
Management, Leadership and Entrepreneurship in Pharmacy provides the knowledge, skills and confidence to assume managerial and leadership roles throughout the pharmacy profession, and to unleash full entrepreneurial potential.It brings the principles of managerial sciences to the practice of pharmacy in diverse and modern day settings. The new book is split into four sections, the first focuses on the core concepts that apply to managers, leaders and entrepreneurs including emotional intelligence and conflict management. Section two summarises managerial competencies including traditional topics of inventory management and financial literacy, but also subjects such as workplace design and workflow management. Section three focuses on leadership competencies that transcend day-to-day managerial responsibilities such as leading change and addressing ‘wicked’ problems (such as sustainability). Section four focuses on innovation and entrepreneurship, exploring topics such as the psychology of innovation, business planning and networking. The book contains helpful, supportive examples and useful resources all designed to empower, support and motivate the next generation of managers, leaders and entrepreneurs in pharmacy.
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Causal Inference in Python : Applying Causal Inference in the Tech Industry
How many buyers will an additional dollar of online marketing bring in?Which customers will only buy when given a discount coupon?How do you establish an optimal pricing strategy? The best way to determine how the levers at our disposal affect the business metrics we want to drive is through causal inference. In this book, author Matheus Facure, senior data scientist at Nubank, explains the largely untapped potential of causal inference for estimating impacts and effects.Managers, data scientists, and business analysts will learn classical causal inference methods like randomized control trials (A/B tests), linear regression, propensity score, synthetic controls, and difference-in-differences.Each method is accompanied by an application in the industry to serve as a grounding example. With this book, you will:Learn how to use basic concepts of causal inferenceFrame a business problem as a causal inference problemUnderstand how bias gets in the way of causal inferenceLearn how causal effects can differ from person to personUse repeated observations of the same customers across time to adjust for biasesUnderstand how causal effects differ across geographic locationsExamine noncompliance bias and effect dilution
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Does market research hinder innovation in business administration?
Market research does not necessarily hinder innovation in business administration. In fact, it can provide valuable insights into consumer needs and preferences, helping businesses to develop innovative products and services that meet market demands. By understanding market trends and customer behavior, businesses can identify opportunities for innovation and stay ahead of competitors. However, relying too heavily on market research without allowing room for creativity and risk-taking can limit the potential for groundbreaking innovations. It is important for businesses to strike a balance between leveraging market research and fostering a culture of innovation to drive success in business administration.
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As a career changer, which master's degree program would you recommend: Project Control, Project Management, or Business Leadership?
As a career changer, I would recommend the Business Leadership master's degree program. This program provides a broader and more versatile skill set that can be applied across various industries and roles. Business leadership encompasses strategic thinking, decision-making, communication, and organizational management, which are valuable skills for any career transition. Additionally, a business leadership degree can open doors to leadership positions in a wide range of fields, making it a strong choice for those looking to pivot their career.
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What is digital business management?
Digital business management refers to the use of digital technologies and strategies to effectively manage and optimize various aspects of a business, such as operations, marketing, customer relations, and data analysis. It involves leveraging digital tools and platforms to streamline processes, improve decision-making, and enhance overall business performance. This can include implementing digital marketing campaigns, utilizing data analytics to make informed business decisions, and integrating digital solutions to improve customer experiences. Overall, digital business management aims to harness the power of technology to drive business growth and success in the digital age.
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Which course of study would you recommend for me: Business or Entrepreneurship?
If you are interested in learning about the overall operations and management of organizations, I would recommend studying Business. This course of study will provide you with a broad understanding of various business functions such as marketing, finance, and human resources. On the other hand, if you have a strong passion for creating and developing new ventures, then Entrepreneurship would be a better fit for you. This course will focus on the skills and knowledge needed to start and grow a successful business from the ground up. Ultimately, the choice between Business and Entrepreneurship depends on your career goals and interests.
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