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Top Series in United States

Showing 1 - 12 of 12 results for “stefanus jasin”
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  • The Elements of Joint Learning and Optimization in Operations Management

    Edited by Xi Chen, Stefanus Jasin, Cong Shi ...
    Series series Business and Management (R0)
    This book examines recent developments in Operations Management, and focuses on four major application areas: dynamic pricing, assortment optimization, supply chain and inventory management, and healthcare operations. Data-driven optimization in which real-time input of data is being used to simultaneously learn the (true) underlying model of a system and optimize its performance, is becoming ... Read more

    $116.09 USD

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  • Sample Size Determination and Power

    by Thomas P. Ryan ...
    Series series Wiley Series in Probability and Statistics
    A comprehensive approach to sample size determination and power with applications for a variety of fieldsSample Size Determination and Power features a modern introduction to the applicability of sample size determination and provides a variety of discussions on broad topics including epidemiology, microarrays, survival analysis and reliability, design of experiments, regression, and confidence ... Read more

    $105.00 USD

  • Introduction To Machine Learning In Quantitative Finance, An

    by Hao Ni, Xin Dong, Jinsong Zheng, Guangxi Yu ...
    Series series Advanced Textbooks In Mathematics
    In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation. Over the past few years, ML has gradually permeated the financial sector, reshaping the landscape of quantitative finance as we know it.An Introduction to Machine Learning in Quantitative ... Read more

    $34.19 USD

  • Data Processing for the AHP/ANP

    by Daji Ergu, Yong Shi, Gang Kou, Yi Peng ...
    Series series Business and Management (R0)
    The positive reciprocal pairwise comparison matrix (PCM) is one of the key components which is used to quantify the qualitative and/or intangible attributes into measurable quantities. This book examines six understudied issues of PCM, i.e. consistency test, inconsistent data identification and adjustment, data collection, missing or uncertain data estimation, and sensitivity analysis of rank ... Read more

    $49.49 USD

  • Multicriteria Decision Aid and Artificial Intelligence

    Links, Theory and Applications

    by Michael Doumpos, Evangelos Grigoroudis ...
    Presents recent advances in both models and systems for intelligent decision making.Organisations often face complex decisions requiring the assessment of large amounts of data. In recent years Multicriteria Decision Aid (MCDA) and Artificial Intelligence (AI) techniques have been applied with considerable success to support decision making in a wide range of complex real-world problems.The ... Read more

    $109.95 USD

  • Handbook of Computational Statistics

    Concepts and Methods

    Edited by James E. Gentle, Wolfgang Karl Härdle, Yuichi Mori ...
    Series series Mathematics and Statistics (R0)
    The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It ... Read more

    $287.09 USD

  • Machine Learning from Weak Supervision

    An Empirical Risk Minimization Approach

    by Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai ...
    Series series Adaptive Computation and Machine Learning series
    Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. In this book Masashi ... Read more

    $39.99 USD

  • Simulation-Based Algorithms for Markov Decision Processes

    by Hyeong Soo Chang, Jiaqiao Hu, Michael C. Fu, Steven I. Marcus ...
    Series series Engineering (R0)
    Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical solution of the resulting models intractable. In other cases, the ... Read more

    $89.09 USD

  • Fuzzy Multicriteria Decision-Making

    Models, Methods and Applications

    by Witold Pedrycz, Petr Ekel, Roberta Parreiras ...
    Fuzzy Multicriteria Decision-Making: Models, Algorithms and Applications addresses theoretical and practical gaps in considering uncertainty and multicriteria factors encountered in the design, planning, and control of complex systems. Including all prerequisite knowledge and augmenting some parts with a step-by-step explanation of more advanced concepts, the authors provide a systematic and ... Read more

    $133.00 USD

  • Machine Learning for Factor Investing: R Version

    by Guillaume Coqueret, Tony Guida ...
    Series series Chapman and Hall/CRC Financial Mathematics Series
    Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it hard for non-specialists to join the bandwagon, as the jargon and coding requirements may seem out of reach. Machine ... Read more

    $101.99 USD

  • Statistical Models and Methods for Reliability and Survival Analysis

    Edited by Mounir Mesbah, Catherine Huber-Carol, Nikolaos Limnios, Léo Gerville-Réache, Vincent Couallier ...
    Statistical Models and Methods for Reliability and Survival Analysis brings together contributions by specialists in statistical theory as they discuss their applications providing up-to-date developments in methods used in survival analysis, statistical goodness of fit, stochastic processes for system reliability, amongst others. Many of these are related to the work of Professor M. Nikulin in ... Read more

    $168.00 USD

  • Handbook of Big Data Analytics

    Edited by Wolfgang Karl Härdle, Henry Horng-Shing Lu, Xiaotong Shen ...
    Series series Mathematics and Statistics (R0)
    Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful ... Read more

    $332.99 USD