Products related to Inference:
-
Causal Inference
A nontechnical guide to the basic ideas of modern causal inference, with illustrations from health, the economy, and public policy. Which of two antiviral drugs does the most to save people infected with Ebola virus?Does a daily glass of wine prolong or shorten life? Does winning the lottery make you more or less likely to go bankrupt?How do you identify genes that cause disease? Do unions raise wages? Do some antibiotics have lethal side effects? Does the Earned Income Tax Credit help people enter the workforce?Causal Inference provides a brief and nontechnical introduction to randomized experiments, propensity scores, natural experiments, instrumental variables, sensitivity analysis, and quasi-experimental devices.Ideas are illustrated with examples from medicine, epidemiology, economics and business, the social sciences, and public policy.
Price: 15.99 £ | Shipping*: 3.99 £ -
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.
Price: 71.99 £ | Shipping*: 0.00 £ -
Statistical Inference
This classic textbook 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 natural extensions, and consequences, of previous concepts.It covers all topics from a standard inference course including: distributions, random variables, data reduction, point estimation, hypothesis testing, and interval estimation. Features The classic graduate-level textbook on statistical inferenceDevelops elements of statistical theory from first principles of probabilityWritten in a lucid style accessible to anyone with some background in calculusCovers all key topics of a standard course in inferenceHundreds of examples throughout to aid understandingEach chapter includes an extensive set of graduated exercisesStatistical Inference, Second Edition is primarily aimed at graduate students of statistics, but can be used by advanced undergraduate students majoring in statistics who have a solid mathematics background.It also stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures, while less focused on formal optimality considerations. This is a reprint of the second edition originally published by Cengage Learning, Inc. in 2001.
Price: 71.99 £ | Shipping*: 0.00 £ -
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.
Price: 74.99 £ | Shipping*: 0.00 £
-
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.
-
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.
-
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.
-
What do society, environment, and economy have to do with sustainability?
Society, environment, and economy are all interconnected when it comes to sustainability. Society plays a crucial role in driving sustainable practices through education, awareness, and advocacy. The environment is directly impacted by human activities and is essential for the well-being of society and the economy. The economy relies on natural resources and a healthy environment to thrive, and sustainable practices are necessary to ensure long-term economic stability. Therefore, achieving sustainability requires a balance between the needs of society, the health of the environment, and the strength of the economy.
Similar search terms for Inference:
-
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
Price: 63.99 £ | Shipping*: 0.00 £ -
Causal Inference : The Mixtape
An accessible, contemporary introduction to the methods for determining cause and effect in the social sciences “Causation versus correlation has been the basis of arguments—economic and otherwise—since the beginning of time.Causal Inference: The Mixtape uses legit real-world examples that I found genuinely thought-provoking.It’s rare that a book prompts readers to expand their outlook; this one did for me.”—Marvin Young (Young MC) Causal inference encompasses the tools that allow social scientists to determine what causes what.In a messy world, causal inference is what helps establish the causes and effects of the actions being studied—for example, the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the influence on economic growth of introducing malaria nets in developing regions.Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and the Stata programming languages.
Price: 28.95 £ | Shipping*: 0.00 £ -
Building Rural Community Resilience Through Innovation and Entrepreneurship
Drawing from empirical analyses, case studies, and a synthesis of best practices, this book explores how innovation manifests itself in rural places and how it contributes to entrepreneurial development and resilience.Innovation in rural places may come about as a result of new forms of collaboration; policies that leverage rural assets and address critical service or product gaps; novel strategies for accessing financial capital; infusion of arts into aspects of community life; and cultivation of networks that bridge entrepreneurs, organizations, and institutions.The chapters illustrate how a number of innovation-related characteristics relate to economic vibrancy in rural places such as a strong connection to the arts, adaptive and sustainable use of natural resources, value-chain integrated food systems, robust bridging social capital networks, creative leveraging of technology, and presence of innovation-focused entrepreneurs.Through exploration of these and other topics, this book will provide insights and best practices for rural community and economic development scholars and practitioners seeking to strengthen the rural innovation ecosystem.
Price: 36.99 £ | Shipping*: 0.00 £ -
Everyday Life-Environmentalism : Community Sustainability and Resilience in Asia
This book provides one of the first systematic introductions to the Japanese concept of life-environmentalism, Seikatsu-Kankyo Shugi.This concept emerged in the 1980s as a shared research framework among Japanese social scientists studying the adverse consequences of postwar industrialization on everyday life in communities. Life-environmentalism offers a lens through which the agency of small communities in sustaining their everyday life and living environment can be understood.The book provides an overview of this approach, including intellectual backgrounds and foundational concepts, along with a variety of empirical case studies that examine environmental and sustainability issues in Japan and other parts of Asia.It also includes critical reflections on the approach in light of contemporary sustainability challenges.The empirical topics covered in the book include local community responses to development projects, resource governance, disaster response and recovery, and historical environmental preservation.The chapters are contributed by researchers working at the forefront of the field.It provides only a glimpse into the vast literature that awaits further exploration and engagement in the future. The book is suitable for upper undergraduate students, graduate students, and researchers interested in environmental problems, sustainability and resilience, disaster mitigation and response, and regional development in Asian contexts, particularly Japan.It is well-suited for courses in anthropology, geography, sociology, urban and regional planning, political science, Asian studies, and environmental studies.
Price: 135.00 £ | Shipping*: 0.00 £
-
Do jobs in the field of sustainability, environment, and climate protection exist?
Yes, there are many jobs in the field of sustainability, environment, and climate protection. These jobs can range from environmental scientists and engineers to sustainability consultants and climate policy analysts. Many industries and organizations are increasingly recognizing the importance of addressing environmental and climate issues, leading to a growing demand for professionals with expertise in these areas. Additionally, there are opportunities for individuals to work in advocacy, education, and community outreach related to sustainability and environmental protection.
-
What does Female Empowerment mean?
Female empowerment means creating an environment where women have the power to make their own choices and control their own lives. It involves providing women with the resources, opportunities, and support they need to thrive and achieve their full potential. This can include access to education, healthcare, economic opportunities, and the ability to participate in decision-making processes. Ultimately, female empowerment is about promoting gender equality and ensuring that women have the ability to live their lives on their own terms.
-
How can the three dimensions of sustainability - economy, society, and environment - be described?
The three dimensions of sustainability can be described as interconnected and interdependent aspects that need to be balanced for long-term well-being. The economic dimension focuses on creating prosperity and ensuring financial stability while considering the impact on society and the environment. The social dimension emphasizes equity, social justice, and community well-being, ensuring that the needs of all individuals are met. The environmental dimension involves protecting natural resources, reducing pollution, and promoting sustainable practices to preserve the planet for future generations. Balancing these dimensions is essential for achieving sustainable development.
-
Is it wise to get trained in the field of sustainability, environment, and climate protection?
Yes, it is wise to get trained in the field of sustainability, environment, and climate protection. As the world faces increasing environmental challenges, there is a growing demand for professionals with expertise in these areas. By getting trained in this field, individuals can contribute to creating a more sustainable and resilient future, while also positioning themselves for career opportunities in a rapidly growing sector. Additionally, having knowledge and skills in sustainability and environmental protection can also lead to personal fulfillment and a sense of purpose in making a positive impact on the world.
* All prices are inclusive of VAT and, if applicable, plus shipping costs. The offer information is based on the details provided by the respective shop and is updated through automated processes. Real-time updates do not occur, so deviations can occur in individual cases.