Books: 'Functional Matching'

1

Chiswick, Barry R. Matching language proficiency to occupation: The effect on immigrants' earnings. Bonn, Germany: IZA, 2007.

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2

Blanchard, Olivier. The aggregate matching function. Cambridge, MA: National Bureau of Economic Research, 1989.

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3

Blanchard, Olivier. The aggregate matching function. Cambridge, Mass: Department of Economics, Massachusetts Institute of Technology, 1989.

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4

Thomas, Carlos. Search and matching functions and optimal monetary policy. London: Centre for Economic Performance, London School of Economics and Political Science, 2006.

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5

Anderson, Patricia M. Empirical matching functions: Estimation and interpretation using disaggregate data. Cambridge, MA: National Bureau of Economic Research, 1995.

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6

Anderson, Patricia. Empirical matching functions: Estimation and interpretation using disaggregate data. Bristol: University of Bristol, Department of Economics, 1995.

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7

Katzman, Brett. Optimal monetary impulse-response functions in a matching model. Cambridge, MA: National Bureau of Economic Research, 1999.

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8

Katzman, Brett. Optimal monetary impulse-response functions in a matching model. [Minneapolis, Minn.]: Federal Reserve Bank of Minneapolis, 1999.

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9

Kodama, Toshihiro, Masahiro Abe, and Yoshio Higuchi. Rōdō shijō sekkei no keizai bunseki: Matchingu kinō no kyōka ni mukete = Economic analysis of labor market design : enhancing the job-matching function. Tōkyō: Tōyō Keizai Shinpōsha, 2005.

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10

Burda, Michael C. Modelling exits from unemployment in Eastern Germany: A matching function approach. London: Centre for Economic Policy Research, 1993.

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11

Coles, Melvyn G. Understanding the matching function: The role of newspapers and job agencies. London: Centre for Economic Policy Research, 1994.

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12

Burda, Michael C. Modelling exits from unemployment in Eastern Germany: A matching function approach. Fontainebleau: INSEAD, 1993.

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13

Coles, Melvyn G. Understanding the matching function: The role of newspapers and job agencies. Essex: Essex University, Department of Economics, 1992.

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14

Hall, Alastair. Information criteria for impulse response function matching estimation of DSGE models. Atlanta, Ga.]: Federal Reserve Bank of Atlanta, 2007.

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15

Heckman, James J. Using matching, instrumental variables and control functions to estimate economic choice models. Cambridge, MA: National Bureau of Economic Research, 2003.

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16

Coles, Melvyn G. Cross-section estimation of the matching function: Evidence from England and Wales. London: Centre for Economic Policy Research, 1994.

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17

Berman, Eli. Help wanted, job needed: Preliminary estimates of a matching function in Israel. [Tel Aviv]: David Horowitz Institute for the Research of Developing Countries, Tel Aviv University, 1992.

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18

Berman, Eli. Help wanted, job needed: Estimates of a matching function from employment service data. Jerusalem: Maurice Falk Institute for Economic Research in Israel, 1994.

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19

R, Velasco Víctor, ed. Theo ry of single and multiple interfaces: The method of surface Green function matching. Singapore: World Scientific, 1992.

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20

Stanton, Geoff. Output-related funding and the quality of education and training: Matching funding to function : avoiding perverse incentives. London: International Centre for Research on Assessment, 1996.

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21

Mercati, Flavio. Barbour–Bertotti Best Matching. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789475.003.0004.

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Barbour and Bertotti’s Mach–Poincaré Principle can be realized in classical mechanics with a mathematical procedure which was beyond the grasp of Leibniz or Newton, and turns out to be equivalent to modern gauge theory. This is the formulation of a variational principle based on ‘best matching’: one transforms subsequent configurations of the system with the Euclidean group, and by minimizing a certain functional a notion of ‘equilocality’ is established: now it makes sense to say that a particle comes back to the same point at different times.

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22

Lattman, Eaton E., Thomas D. Grant, and Edward H. Snell. Examples of Biological Small Angle Scattering. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199670871.003.0012.

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In this chapter we illustrate the biological applications of small angle scattering. We cover examples of contrast matching has been used in the neutron case and with SAXS,. time-resolved studies that have helped reveal mechanism and how SAXS or SANS as a solution technique can access information missing from other studies, in particular residues that may be crystallographically undefined. We show examples of puting known structural information in context, and following large-scale functional changes or show when distinct populations co-exist in solution. The list of examples provided is not exhaustive and should be seen as a glimpse of the potential of biological mechanisms where SAXS or SANS can provide unique information complementary to other methods and help define function and mechanism.

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23

Rempala, Grzegorz, and Jacek Wesolowski. Symmetric Functionals on Random Matrices and Random Matchings Problems. Springer, 2010.

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24

A, Rempała Grzegorz, and Wesołowski Jacek, eds. Symmetric functionals on random matrices and random matchings problems. [New York]: Springer, 2008.

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25

Symmetric Functionals on Random Matrices and Random Matchings Problems. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-75146-7.

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26

Removing stripes in GOES images by matching empirical distribution functions. Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1989.

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27

Wendling, Fabrice, Marco Congendo, and Fernando H. Lopes da Silva. EEG Analysis. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0044.

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This chapter addresses the analysis and quantification of electroencephalographic (EEG) and magnetoencephalographic (MEG) signals. Topics include characteristics of these signals and practical issues such as sampling, filtering, and artifact rejection. Basic concepts of analysis in time and frequency domains are presented, with attention to non-stationary signals focusing on time-frequency signal decomposition, analytic signal and Hilbert transform, wavelet transform, matching pursuit, blind source separation and independent component analysis, canonical correlation analysis, and empirical model decomposition. The behavior of these methods in denoising EEG signals is illustrated. Concepts of functional and effective connectivity are developed with emphasis on methods to estimate causality and phase and time delays using linear and nonlinear methods. Attention is given to Granger causality and methods inspired by this concept. A concrete example is provided to show how information processing methods can be combined in the detection and classification of transient events in EEG/MEG signals.

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28

Baunaz, Lena, and Eric Lander. Nanosyntax. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190876746.003.0001.

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This chapter offers a thorough introduction to nanosyntactic theory, a development of the cartographic program in generative grammar. It discusses the foundations on which nanosyntax was conceived, such as the “one feature–one head” maxim and the universal functional sequence (fseq). It also provides a brief comparison of theoretical and terminological issues in nanosyntax vs. the competing framework of Distributed Morphology. It is seen that the syntactic component according to nanosyntax unifies aspects of (what are traditionally called) syntax, morphology, and formal semantics. This is reflected in the tools used to probe linguistic structure in the nanosyntactic approach, such as morphological decomposition, syncretism, and containment. The chapter also discusses the technical details of the syntax–lexicon relation, detailing the matching or spellout process and Starke’s view of spellout-driven movement. This chapter is meant to provide readers with the necessary background to understand and navigate the rest of the chapters in this volume.

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29

Marcantoni, Enrico. Collateralized Debt Obligations: A Moment Matching Pricing Technique based on Copula Functions. Springer Gabler, 2014.

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30

Horing, Norman J. Morgenstern. Retarded Green’s Functions. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198791942.003.0005.

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Chapter 5 introduces single-particle retarded Green’s functions, which provide the probability amplitude that a particle created at (x, t) is later annihilated at (x′,t′). Partial Green’s functions, which represent the time development of one (or a few) state(s) that may be understood as localized but are in interaction with a continuum of states, are discussed and applied to chemisorption. Introductions are also made to the Dyson integral equation, T-matrix and the Dirac delta-function potential, with the latter applied to random impurity scattering. The retarded Green’s function in the presence of random impurity scattering is exhibited in the Born and self-consistent Born approximations, with application to Ando’s semi-elliptic density of states for the 2D Landau-quantized electron-impurity system. Important retarded Green’s functions and their methods of derivation are discussed. These include Green’s functions for electrons in magnetic fields in both three dimensions and two dimensions, also a Hamilton equation-of-motion method for the determination of Green’s functions with application to a 2D saddle potential in a time-dependent electric field. Moreover, separable Hamiltonians and their product Green’s functions are discussed with application to a one-dimensional superlattice in axial electric and magnetic fields. Green’s function matching/joining techniques are introduced and applied to spatially varying mass (heterostructures) and non-local electrostatics (surface plasmons).

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31

International Commission on Illumination. Technical Committee 1-02 Luminous Efficiency Functions., ed. Spectral luminous efficiency functions based upon brightness matching for monochromatic point sources 2° and 10° fields. Vienna: Central Bureau of the CIE, 1988.

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32

Lattman, Eaton E., Thomas D. Grant, and Edward H. Snell. Biological Small Angle Scattering. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199670871.001.0001.

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The technique of small angle solution scattering has been revolutionized in the last two decades. Exponential increases in computing power, parallel algorithm development, and the development of synchrotron, free-electron X-ray sources, and neutron sources, have combined to allow new classes of studies for biological specimens. These include time-resolved experiments in which functional motions of proteins are monitored on a picosecond timescale, and the first steps towards determining actual electron density fluctuations within particles. In addition, more traditional experiments involving the determination of size and shape, and contrast matching that isolate substructures such as nucleic acid, have become much more straightforward to carry out, and simultaneously require much less material. These new capabilities have sparked an upsurge of interest in solution scattering on the part of investigators in related disciplines. Thus, this book seeks to guide structural biologists to understand the basics of small angle solution scattering in both the X-ray and neutron case, to appreciate its strengths, and to be cognizant of its limitations. It is also directed at those who have a general interest in its potential. The book focuses on three areas: theory, practical aspects and applications, and the potential of developing areas. It is an introduction and guide to the field but not a comprehensive treatment of all the potential applications.

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33

Symmetric Functionals on Random Matrices and Random Matchings Problems (The IMA Volumes in Mathematics and its Applications Book 147). Springer, 2007.

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34

Shugart, Matthew S., Matthew E. Bergman, Cory L. Struthers, Ellis S. Krauss, and Robert J. Pekkanen. Party Personnel Strategies. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192897053.001.0001.

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The book develops the notion of “party personnel strategies”, which are the ways in which political parties assign their elected members—their “personnel”—to serve collective organizational goals. Key party goals are to advance a policy brand and maximize seats in the legislature. We offer a theory of how assignments of members to specialized legislative committees contribute to these goals. Individual members vary in their personal attributes, such as prior occupation, gender, and local experience. Parties seek to harness the attributes of their members by assigning them to committees where members’ expertise is relevant; doing so may enhance the party’s policy brand. Under some electoral systems, parties may need to trade off the harnessing of expertise against the pursuit of seats, instead matching legislators according to electoral situation (e.g., marginality of seat) or characteristics of their constituency (e.g., population density). The book offers analysis of the extent to which parties trade of these goals by matching the attributes of their personnel and their electoral needs to the functions of the available committee seats. The analysis is based on a dataset of around 6,000 legislators across thirty-eight elections in six established parliamentary democracies with diverse electoral systems.

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35

Bridging the Gap Between Graph Edit Distance and Kernel Machines (Series in Machine Perception and Artificial Intelligence). World Scientific Publishing Company, 2007.

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36

Martin, Philip. Labor Markets and Migration. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198808022.003.0003.

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Labor markets have the three R functions of recruiting workers, remunerating them to encourage them to perform their jobs satisfactorily, and retaining experienced and productive workers. Employers in one country and jobs in another complicate these three Rs, especially recruitment, which is why both employers and workers often turn to private recruiters to act as intermediaries between jobs and workers. Recruiters are most deeply involved in the second phase of the four-phase labor migration process—matching workers with jobs. Indeed, the fact that recruiters rarely visit the workplaces to which they send workers, and do not always expect to send more workers to particular employers, reduces their incentives to make good worker–job matches.

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37

Ruxton, Graeme D., William L. Allen, Thomas N. Sherratt, and Michael P. Speed. Countershading. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199688678.003.0004.

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Countershading is a coloration pattern where the exterior surfaces most exposed to light, typically dorsal surfaces, are more darkly coloured than those oriented away from light, typically ventral surfaces. Countershading is widely discussed as a camouflage defence, although other functions—such as thermoregulation, abrasion resistance, and protection from ultraviolet light—may also select for countershading. In terms of camouflage, countershading is thought to work by up to six distinct mechanisms. We discuss several key examples of countershading and counterillumination that give insight into some of this complexity, before reviewing the evidence for the effectiveness of each of the six mechanisms. These include relatively simple effects, such as background matching dorsal surfaces against dark oceanic depths when viewed from above and ventral surfaces against downwelling light when viewed from below, but also more complex mechanisms, such as the concealment of cues to three-dimensional shape created by an animal’s self-cast shadows. Following this are sections on the evolution and genetics of countershading, before the chapter concludes with ecological considerations and suggestions for future research.

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38

Huda, Ahmed Samei. The Medical Model in Mental Health. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780198807254.001.0001.

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The medical model is a biopsychosocial model assessing a patient’s problems and matching them to the diagnostic construct using pattern recognition of clinical features. Diagnostic constructs allow for researching, communicating, teaching, and learning useful clinical information to influence clinical decision-making. They also have social and administrative functions such as access to benefits. They may also help explain why problems occur. Diagnostic constructs are used to describe diseases/syndromes and also other types of conditions such as spectrums of conditions. Treatments in medicine and psychiatry have several treatment objectives including cure or reducing distress and a variety of mechanisms of action apart from reversing disease/cure. Causation of conditions in medicine and psychiatry are often complex. The medical model allows doctors to assess and offer effective treatments to large numbers of patients and provide emergency cover. Diagnostic constructs in psychiatry and general medicine overlap for attributes such as clinical utility (e.g. predicting likely outcomes) and validity (e.g. lack of boundaries between different diagnostic constructs) and importance of social factors. There is an overlap in effectiveness between psychiatric and general medicine treatments and many general medicine medications do not reverse disease processes. Different mental health classifications have particular strengths and weaknesses for clinical, research, and social functions. Mental health research into understanding causes and mechanisms may need other classifications than diagnosis. As doctors in all specialties encounter mental health problems, there will always be psychiatric diagnostic constructs compatible with their training. Mental health research and service provision will always need to address psychosocial issues.

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39

Wright, A. G. The Photomultiplier Handbook. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199565092.001.0001.

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This handbook is aimed at helping users of PMTs who are faced with the challenge of designing sensitive light detectors for scientific and industrial purposes. The raison d’être for photomultipliers (PMTs) stems from four intrinsic attributes: large detection area, high, and noiseless gain, and wide bandwidth. Detection involves a conversion process from photons to photoelectrons at the photocathode. Photoelectrons are subsequently collected and increased in number by the action of an incorporated electron multiplier. Photon detection, charge multiplication, and many PMT applications are statistical in nature. For this reason appropriate statistical treatments are provided and derived from first principles. PMTs are characterized by a range of photocathodes offering detection over UV to infra-red wavelengths, the sensitivities of which can be calibrated by National Laboratories. The optical interface between light sources and PMTs, particularly for diffuse or uncollimated light, is sparsely covered in the scientific literature. The theory of light guides, Winston cones, and other light concentrators points to means for optimizing light collection subject to the constraints of Liouville’s theorem (étandue). Certain PMTs can detect single photons but are restricted by the limitations of unwanted background ranging in magnitude from a fraction of a photoelectron equivalent to hundreds of photoelectrons. These sources, together with their correlated nature, are examined in detail. Photomultiplier biasing requires a voltage divider comprising a series of resistors or active components, such as FETs. Correct biasing provides the key to linear operation and so considerable attention is given to the treatment of this topic. Electronic circuits and modules that perform the functions of charge to voltage conversion, pulse shaping, and impedance matching are analysed in detail.

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Books on the topic 'Functional Matching'

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