1,720,958 research outputs found
Recursive construction of a Nash equilibrium in a two-player nonzero-sum stopping game with asymmetric information
We study a discrete-time finite-horizon two-players nonzero-sum stopping game
where the filtration of Player 1 is richer than the filtration of Player 2. A
major difficulty which is caused by the information asymmetry is that Player 2
may not know whether Player 1 has already stopped the game or not. Furthermore,
the classical backward-induction approach is not applicable in the current
setup. This is because when the informed player decides not to stop, he reveals
information to the uninformed player and hence the decision of the uninformed
player at time may not be determined by the play after time , but also
on the play before time . In the current work we initially show that the
expected utility of Player 2 will remain the same even if he knows whether
Player 1 has already stopped. Then, this result is applied in order to prove
that, under appropriate conditions, a recursive construction in the style of
Hamad\'ene and Zhang (2010) converges to a pure-strategy Nash equilibrium
Minimizing the externalities variance in a LCFS-PR queue under various constraints
Consider a LCFS-PR queue and assume that at time , there are
customers who arrived in that order such that is the arrival time of . Then, the externalities which are generated by
is the total waiting time that would be saved by if
reduced his service requirement to zero. Motivated by some applications,
this work is about the minimization of the externalities variance under various
constraints
Bayesian games with nested information
We prove that any Bayesian game (\'a la Aumann) with a general state space,
compact metric action spaces, and nested information admits a Harsanyi
-equilibrium for every . When, in addition, the
action spaces and the payoffs are discrete, there is a Bayesian
-equilibrium. To this end, we develop a new finite approximation
of information structures, which has independent interest. We also put forth
several open problems, including the existence of a -equilibrium (Harsanyi
or Bayesian) in Bayesian games with nested information, the existence of a
Harsanyi -equilibrium in multi-stage Bayesian games with nested
information, and the canonical structure of the universal belief space when the
information structure is nested
Bayesian games with nested information
A Bayesian game is said to have nested information if the players are ordered, and each player knows the types of all players that follow her in that order. We prove that all multiplayer Bayesian games with finite actions spaces, bounded payoffs, Polish type spaces, and nested information admit a Bayesian equilibrium
Moments of polynomial functionals in Levy-driven queues with secondary jumps
Let be a compound Poisson process with rate and a
jumps distribution concentrated on . In addition, let
be a random variable which is distributed according to and
independent from . Define a new process , and let be the first time that hits the
origin. A long-standing open problem due to Iglehart (1971) and Cohen (1979) is
to derive the moments of the functional in terms
of the moments of and . In the current work, we solve this
problem in much greater generality, i.e., first by letting belong to
a wide class of spectrally-positive L\'evy processes and secondly, by
considering more general class of functionals. We also supply several
applications of the existing results, e.g., in studying the process defined on
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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