The Experts below are selected from a list of 303 Experts worldwide ranked by ideXlab platform

Pramod K. Varshney - One of the best experts on this subject based on the ideXlab platform.

  • Portfolio Theory based sensor selection in Wireless Sensor Networks with unreliable observations
    2016 Annual Conference on Information Science and Systems (CISS), 2016
    Co-Authors: Swastik Brahma, Pramod K. Varshney
    Abstract:

    In this paper, we propose a Portfolio Theory based sensor selection framework in Wireless Sensor Networks (WSNs) with unreliable sensor observations for target localization. Fisher information (FI) is used as the sensor selection metric in our work. Our objective is to find a sensor selection scheme that considers both the expected FI gain and the reliability of the sensors, where we observe that the FI variability captures the reliability of the sensors. Based on Portfolio Theory, we formulate our sensor selection problem as a multiobjective optimization problem (MOP), which is solved by the normal boundary intersection (NBI) method. Simulation results show the advantages of performing Portfolio Theory based sensor selection.

  • CISS - Portfolio Theory based sensor selection in Wireless Sensor Networks with unreliable observations
    2016 Annual Conference on Information Science and Systems (CISS), 2016
    Co-Authors: Swastik Brahma, Pramod K. Varshney
    Abstract:

    In this paper, we propose a Portfolio Theory based sensor selection framework in Wireless Sensor Networks (WSNs) with unreliable sensor observations for target localization. Fisher information (FI) is used as the sensor selection metric in our work. Our objective is to find a sensor selection scheme that considers both the expected FI gain and the reliability of the sensors, where we observe that the FI variability captures the reliability of the sensors. Based on Portfolio Theory, we formulate our sensor selection problem as a multiobjective optimization problem (MOP), which is solved by the normal boundary intersection (NBI) method. Simulation results show the advantages of performing Portfolio Theory based sensor selection.

James Ming Chen - One of the best experts on this subject based on the ideXlab platform.

  • Beyond Hope and Fear:Behavioral Portfolio Theory
    Finance and the Behavioral Prospect, 2016
    Co-Authors: James Ming Chen
    Abstract:

    This book and its companion volume, Postmodern Portfolio Theory,1 have devoted most of their attention to two models of finance. Each of these two models is sensitive to human behavior. Postmodern Portfolio Theory treated mathematical finance as a “pattern of timeless moments,” a deeply quantitative puzzle whose answer lies in statistical distributions and their properties. The presentation of a higher-moment CAPM in Chap. 3 of this book enables the overtly behavioral interpretation of moment-based theories of finance, which associate different statistical moments (mean, variance, skewness, and kurtosis) with different emotions.2 Other chapters in this book, so far, have presented financial models whose primary or even exclusive purpose is to describe economic behavior as undertaken by actual humans, as opposed to hypothetical economic reason dictated by quantitative logic. Prospect Theory, in particular, reflects the “psychophysics of chances.”3

  • Modern Portfolio Theory
    Postmodern Portfolio Theory, 2016
    Co-Authors: James Ming Chen
    Abstract:

    Portfolio Theory may be the most fecund intellectual export from quantitative finance to other sciences. Social sciences outside the strictly financial domain have applied Portfolio Theory to subjects as diverse as regional development,1 social psychology,2 and information retrieval.3 Proper understanding of Portfolio Theory and its place in finance and cognate sciences begins with a return to the origins of modern Portfolio Theory. For “the end of all our exploring/Will be to arrive where we started/And know the place for the first time.”4

  • Postmodern Portfolio Theory - Postmodern Portfolio Theory
    Postmodern Portfolio Theory, 2016
    Co-Authors: James Ming Chen
    Abstract:

    Modern Portfolio Theory, its name notwithstanding, needs a thorough renovation. The reaction of an informed contemporary critic to this venerable model of financial analysis would be comparable to that of a postmodern architect who encounters the naked geometry of a Brutalist monument for the first time: the edifice has nice “bones,” so to speak, but it needs to be rebuilt with human needs and emotions in mind before anyone will live in it.1

  • Portfolio Theory as a Pattern of Timeless Moments
    SSRN Electronic Journal, 2013
    Co-Authors: James Ming Chen
    Abstract:

    Quantitative finance traces its roots to modern Portfolio Theory. Despite the deficiencies of modern Portfolio Theory, mean-variance optimization nevertheless continues to form the basis for contemporary finance. The term "postmodern Portfolio Theory" expresses many of the theoretical advances in financial learning since the original articulation of modern Portfolio Theory. Any complete overview of financial risk management must address all aspects of Portfolio Theory, from the beautiful symmetries of modern Portfolio Theory to the disturbing behavioral insights and the vastly expanded mathematical arsenal of the postmodern critique. This article surveys Portfolio Theory, from its modern origins through more sophisticated, "postmodern" incarnations, according to the first four moments of any statistical distribution: mean, variance, skewness, and excess kurtosis. Mastery of these quantitative tools and associated behavioral insights holds the key to the efficient frontier of risk management.

Swastik Brahma - One of the best experts on this subject based on the ideXlab platform.

  • Portfolio Theory based sensor selection in Wireless Sensor Networks with unreliable observations
    2016 Annual Conference on Information Science and Systems (CISS), 2016
    Co-Authors: Swastik Brahma, Pramod K. Varshney
    Abstract:

    In this paper, we propose a Portfolio Theory based sensor selection framework in Wireless Sensor Networks (WSNs) with unreliable sensor observations for target localization. Fisher information (FI) is used as the sensor selection metric in our work. Our objective is to find a sensor selection scheme that considers both the expected FI gain and the reliability of the sensors, where we observe that the FI variability captures the reliability of the sensors. Based on Portfolio Theory, we formulate our sensor selection problem as a multiobjective optimization problem (MOP), which is solved by the normal boundary intersection (NBI) method. Simulation results show the advantages of performing Portfolio Theory based sensor selection.

  • CISS - Portfolio Theory based sensor selection in Wireless Sensor Networks with unreliable observations
    2016 Annual Conference on Information Science and Systems (CISS), 2016
    Co-Authors: Swastik Brahma, Pramod K. Varshney
    Abstract:

    In this paper, we propose a Portfolio Theory based sensor selection framework in Wireless Sensor Networks (WSNs) with unreliable sensor observations for target localization. Fisher information (FI) is used as the sensor selection metric in our work. Our objective is to find a sensor selection scheme that considers both the expected FI gain and the reliability of the sensors, where we observe that the FI variability captures the reliability of the sensors. Based on Portfolio Theory, we formulate our sensor selection problem as a multiobjective optimization problem (MOP), which is solved by the normal boundary intersection (NBI) method. Simulation results show the advantages of performing Portfolio Theory based sensor selection.

Sebastian Barney - One of the best experts on this subject based on the ideXlab platform.

  • IWSPM - Using Portfolio Theory to support requirements selection decisions
    2010 Fourth International Workshop on Software Product Management, 2010
    Co-Authors: Nina D. Fogelström, Emil Numminen, Sebastian Barney
    Abstract:

    Selecting requirements for a release of software is a difficult undertaking as people have trouble comparing requirements of different types and have natural biases towards short-terms gains over longer-term sustainability. Portfolio Theory is proposed as a solution to this problem, as it provides a method for balancing investment options to maximize the likelihood of a given return. This approach is explored generally and through an example. The results suggest Portfolio Theory can be applied for this purpose. Applying Portfolio Theory to determine the amount of development time that should be spent on different types of requirements shows the most potential, especially when data on expected risks and returns is limited.

  • Using Portfolio Theory to support requirements selection decisions
    2010 Fourth International Workshop on Software Product Management, 2010
    Co-Authors: Nina D. Fogelström, Emil Numminen, Sebastian Barney
    Abstract:

    Selecting requirements for a release of software is a difficult undertaking as people have trouble comparing requirements of different types and have natural biases towards short-terms gains over longer-term sustainability. Portfolio Theory is proposed as a solution to this problem, as it provides a method for balancing investment options to maximize the likelihood of a given return. This approach is explored generally and through an example. The results suggest Portfolio Theory can be applied for this purpose. Applying Portfolio Theory to determine the amount of development time that should be spent on different types of requirements shows the most potential, especially when data on expected risks and returns is limited.

Lex Donaldson - One of the best experts on this subject based on the ideXlab platform.

  • ORGANIZATIONAL Portfolio Theory: PERFORMANCE‐DRIVEN ORGANIZATIONAL CHANGE
    Contemporary Economic Policy, 2000
    Co-Authors: Lex Donaldson
    Abstract:

    The article outlines some of the main ideas of a new organizational Theory: organizational Portfolio Theory. The literature has empirically established that organizations tend not to make needed adaptive changes until they suffer a crisis of low organizational performance. Organizational Portfolio Theory takes this idea and constructs a Theory of the conditions under which organizational performance becomes low enough for adaptive organizational change to occur. The focus is on the interaction between organizational misfit and the other causes of organizational performance. To model these interactions use is made of the concepts of risk and Portfolio. Copyright 2000 Western Economic Association International.

  • An Organizational Portfolio Theory of Board Composition
    Corporate Governance: An International Review, 1999
    Co-Authors: Peter A. Heslin, Lex Donaldson
    Abstract:

    A new Theory of organizational change and success has recently been proposed, organizational Portfolio Theory (Donaldson, 1999). One purpose of this Theory is to provide a fresh perspective on the determinants and consequences of board composition. After outlining organizational Portfolio Theory, this paper suggests some implications of the new Theory for understanding the dynamic relationship between board composition and firm performance.