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Showing 1 - 12 of 12 results for “ian m schmutte”
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  • Data Privacy Protection and the Conduct of Applied Research

    Methods, Approaches, and New Findings

    Edited by V. Joseph Hotz, Ruobin Gong, Ian M. Schmutte ...
    Series series National Bureau of Economic Research Conference Report
    A necessary exploration into the mechanics of data privacy protections within empirical social science research.The explosion of computational power and data availability has revolutionized empirical social science research, but it has also created unprecedented challenges for protecting the privacy of individuals and businesses. As computational tools make it increasingly possible to breach data ... Read more

    $169.99 CAD

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  • From Opinion Mining to Financial Argument Mining

    by Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen ...
    Series series SpringerBriefs in Computer Science
    Opinion mining is a prevalent research issue in many domains. In the financial domain, however, it is still in the early stages. Most of the researches on this topic only focus on the coarse-grained market sentiment analysis, i.e., 2-way classification for bullish/bearish. Thanks to the recent financial technology (FinTech) development, some interdisciplinary researchers start to involve in the in ... Read more

    Free

  • Data Science for Economics and Finance

    Methodologies and Applications

    Edited by Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana ...
    Series series Computer Science (R0)
    This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in ... Read more

    Free

  • Privacy, Big Data, and the Public Good

    Frameworks for Engagement

    Edited by Julia Lane, Victoria Stodden, Stefan Bender, Helen Nissenbaum ...
    Massive amounts of data on human beings can now be analyzed. Pragmatic purposes abound, including selling goods and services, winning political campaigns, and identifying possible terrorists. Yet 'big data' can also be harnessed to serve the public good: scientists can use big data to do research that improves the lives of human beings, improves government services, and reduces taxpayer costs. In ... Read more

    $44.99 CAD

  • Large Language Models in Finance

    A hands-on guide to LLM architectures, agents, RAG, governance, and evaluation in finance

    by Miquel Noguer i Alonso ...
    Build production-grade Large Language Model systems for finance. Learn how to design, fine-tune, evaluate, govern, and deploy LLMs, Retrieval-Augmented Generation (RAG), and AI agents for trading, banking, risk management, compliance, and financial research using rigorous mathematics, practical code, and real-world case studies.Key FeaturesBuild production-ready financial LLM systems with RAG, ... Read more

    $48.99 CAD or Free with Kobo Plus

  • Artificial Intelligence in Financial Markets

    Cutting Edge Applications for Risk Management, Portfolio Optimization and Economics

    Edited by Christian L. Dunis, Peter W. Middleton, Andreas Karathanasopolous, Konstantinos Theofilatos ...
    Series series Economics and Finance (R0)
    As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in ... Read more

    $115.99 CAD

  • Responsible AI

    Implementing Ethical and Unbiased Algorithms

    by Sray Agarwal, Shashin Mishra ...
    Series series Computer Science (R0)
    This book is written for software product teams that use AI to add intelligent models to their products or are planning to use it. As AI adoption grows, it is becoming important that all AI driven products can demonstrate they are not introducing any bias to the AI-based decisions they are making, as well as reducing any pre-existing bias or discrimination.The responsibility to ensure that the AI ... Read more

    $83.99 CAD

  • Handbook On Impact Evaluation: Quantitative Methods And Practices

    by Khandker Shahidur; B. Koolwal Gayatri; Samad Hussain ...
    Public programs are designed to reach certain goals and beneficiaries. Methods to understand whether such programs actually work, as well as the level and nature of impacts on intended beneficiaries, are main themes of this book. Has the Grameen Bank, for example, succeeded in lowering consumption poverty among the rural poor in Bangladesh? Can conditional cash transfer programs in Mexico and ... Read more

    $33.99 CAD

  • Financial Analysis and Risk Management

    Data Governance, Analytics and Life Cycle Management

    Edited by Victoria Lemieux ...
    Series series Economics and Finance (R0)
    The Global Financial Crisis and the Eurozone crisis that has followed have drawn attention to weaknesses in financial records, information and data. These weaknesses have led to operational risks in financial institutions, flawed bankruptcy and foreclosure proceedings following the Crisis, and inadequacies in financial supervisors’ access to records and information for the purposes of a prudential ... Read more

    $115.99 CAD

  • Differential Privacy

    by Simson L. Garfinkel ...
    Series series The MIT Press Essential Knowledge series
    A robust yet accessible introduction to the idea, history, and key applications of differential privacy—the gold standard of algorithmic privacy protection.Differential privacy (DP) is an increasingly popular, though controversial, approach to protecting personal data. DP protects confidential data by introducing carefully calibrated random numbers, called statistical noise, when the data is used. ... Read more

    $19.99 CAD

  • Environmental Valuation with Discrete Choice Experiments

    Guidance on Design, Implementation and Data Analysis

    by Petr Mariel, David Hoyos, Jürgen Meyerhoff, Mikolaj Czajkowski, Thijs Dekker, Klaus Glenk, Jette Bredahl Jacobsen, Ulf Liebe, Søren Bøye Olsen, Julian Sagebiel, Mara Thiene ...
    Series series Economics and Finance (R0)
    This open access book offers up-to-date advice and practical guidance on how to undertake a discrete choice experiment as a tool for environmental valuation. It discusses crucial issues in designing, implementing and analysing choice experiments. Compiled by leading experts in the field, the book promotes discrete choice analysis in environmental valuation through a more solid scientific basis for ... Read more

    Free

  • Real Estate Analysis in the Information Age

    Techniques for Big Data and Statistical Modeling

    by Kimberly Winson-Geideman, Andy Krause, Clifford A. Lipscomb, Nick Evangelopoulos ...
    The creation, accumulation, and use of copious amounts of data are driving rapid change across a wide variety of industries and academic disciplines. This ‘Big Data’ phenomenon is the result of recent developments in computational technology and improved data gathering techniques that have led to substantial innovation in the collection, storage, management, and analysis of data.Real Estate ... Read more

    $150.99 CAD