Search results for 'Teddy Seidenfield' (try it on Scholar)

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  1.  19
    Joseph B. Kadane, Mark Schervish & Teddy Seidenfield (2008). Is Ignorance Bliss? Journal of Philosophy 105 (1):5-36.
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  2.  7
    Teddy Stallard (2011). Teddy Stallard. Ethos: Journal of the Society for Psychological Anthropology 1 (29):1.
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  3.  10
    Dagmar Schmauks (2000). Teddy Bears, Tarnagotchis, Transgenic Mice. Sign Systems Studies 28:309-324.
    The expression "artificial animal" denotes a range of different objects from teddy bears to the results of genetic engineering. As a basis for further investigation, this article first of all presents the main interpretations and traces their systematic interconnections. The subsequent sections concentrate on artificial animals in the context of play. The development of material toys is fueled by robotics. It gives toys artificial sense organs, limbs, and cognitive abilities, thus enabling them to act in the real world. The (...)
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  4. Teddy Seidenfeld (1979). Philosophical Problems of Statistical Inference Learning From R. A. Fisher /Teddy Seidenfeld. --. --. D. Reidel Pub. Co., C1979.
     
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  5.  2
    Carol Levine (1977). The First Ban: How Teddy Roosevelt Saved Saccharin. Hastings Center Report 7 (6):6-7.
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  6.  1
    Anna Kouppanou (2016). ‘…Einstein’s Most Rational Dimension of Noetic Life and the Teddy Bear…’ An Interview with Bernard Stiegler on Childhood, Education and the Digital. Studies in Philosophy and Education 35 (3):241-249.
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  7.  23
    D. W. Lucas (1968). Teddy Brunius: Inspiration and Katharsis: The Interpretation of Aristotle's Poetics, Vi. 1449b26. (Acta Universitatis Upsaliensis: Swedish Studies in Aesthetics, 3.) Pp. 88. Uppsala: Almqvist & Wiksell, 1966. Paper, 25 Kr. [REVIEW] The Classical Review 18 (01):109-110.
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  8.  4
    A. E. Strode, J. D. Toohey, C. Slack & S. Bhamjee (2013). Reporting Underage Consensual Sex After the Teddy Bear Case: A Different Perspective. South African Journal of Bioethics and Law 6 (2):45.
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  9.  16
    Matthias Hild (2003). Rethinking the Foundations of Statistics, Joseph B. Kadane, Mark J. Schervish and Teddy Seidenfeld. Cambridge University Press, 1999, X + 388 Pages. [REVIEW] Economics and Philosophy 19 (1):149-155.
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  10.  1
    Elisabet Petit (2011). Nace Una Nueva Raza de Conejo: El Teddy. In Ivano Dionigi & Guido Barbujani (eds.), Animalia. Biblioteca Universale Rizzoli 231--72.
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  11. Spephen Bayley (1973). "Mutual Aid in the Arts": Teddy Brunius. [REVIEW] British Journal of Aesthetics 13 (2):195.
     
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  12. T. J. Diffey (1965). "G. E. Moore's Analysis of Beauty": Teddy Brunius. [REVIEW] British Journal of Aesthetics 5 (4):404.
     
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  13. J. Grieves (1982). Style as Metaphor for Symbolic Action: Teddy Boys, Authenticity and Identity. Theory, Culture and Society 1 (2):35-49.
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  14. G. P. Henderson (1967). "Inspiration and Katharsis": Teddy Brunius. [REVIEW] British Journal of Aesthetics 7 (4):390.
     
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  15. M. Hild (2003). Review of Joseph B. Kadane, Mark J. Schervish and Teddy Seidenfeld's Rethinking the Foundations of Statistics. [REVIEW] Economics and Philosophy 19 (1):149-155.
     
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  16. J. P. Hodin (1983). "Violet Tengberg: Paintings, Drawing, Graphics and Poems": Essays by Teddy Brunius and Benkt-Erik Benktson. [REVIEW] British Journal of Aesthetics 23 (3):266.
     
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  17. Colin Lyas (1970). "Theory and Taste: Four Studies in Aesthetics": Teddy Brunius. [REVIEW] British Journal of Aesthetics 10 (3):289.
     
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  18. Prinslean Mahery (2015). The 2015 Sexual Offences Amendment Act: Laudable Amendments in Line with the Teddy Bear Clinic Case. South African Journal of Bioethics and Law 8 (2):4.
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  19. David Jan McQuoid-Mason (2013). Decriminalisation of Consensual Sexual Conduct Between Children: What Should Doctors Do Regarding the Reporting of Sexual Offences Under the Sexual Offences Act Until the Constitutional Court Confirms the Judgement of the Teddy Bear Clinic Case? South African Journal of Bioethics and Law 6 (1):8.
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  20. Anders Ramsay (forthcoming). Teddy Hates Jazz. Res Publica.
     
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  21. Donna Varga (2009). Babes in the Woods: Wilderness Aesthetics in Children's Stories and Toys, 1830-1915. Society and Animals 17 (3):187-205.
    Representations of nonhuman wild animals in children's stories and toys underwent dramatic transformation over the years 1830-1915. During the earlier part of that period, wild animals were presented to children as being savage and dangerous, and that it was necessary for them to be killed or brutally constrained. In the 1890s, an animalcentric discourse emerged in Nature writing, along with an animal-human symbiosis in scientific child study that highlighted childhood innocence, resulting in a valuing of wild animals based upon their (...)
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  22.  19
    Wlodek Rabinowicz (1997). On Seidenfeld‘s Criticism of Sophisticated Violations of the Independence Axiom. Theory and Decision 43 (3):279-292.
    An agent who violates independence can avoid dynamic inconsistency in sequential choice if he is sophisticated enough to make use of backward induction in planning. However, Seidenfeld has demonstrated that such a sophisticated agent with dependent preferences is bound to violate the principle of dynamic substitution, according to which admissibility of a plan is preserved under substitution of indifferent options at various choice nodes in the decision tree. Since Seidenfeld considers dynamic substitution to be a coherence condition on dynamic choice, (...)
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  23.  19
    Wlodek Rabinowicz (2000). Preference Stability and Substitution of Indifferents: A Rejoinder to Seidenfeld. Theory and Decision 48 (4):311-318.
    Seidenfeld (Seidenfeld, T. [1988a], Decision theory without 'Independence' or without 'Ordering', Economics and Philosophy 4: 267-290) gave an argument for Independence based on a supposition that admissibility of a sequential option is preserved under substitution of indifferents at choice nodes (S). To avoid a natural complaint that (S) begs the question against a critic of Independence, he provided an independent proof of (S) in his (Seidenfeld, T. [1988b], Rejoinder [to Hammond and McClennen], Economics and Philosophy 4: 309-315). In reply to (...)
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  24.  21
    Teddy Seidenfeld, Getting to Know Your Probabilities: Three Ways to Frame Personal Probabilities for Decision Making.
    Teddy Seidenfeld – CMU An old, wise, and widely held attitude in Statistics is that modest intervention in the design of an experiment followed by simple statistical analysis may yield much more of value than using very sophisticated statistical analysis on a poorly designed existing data set.
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  25. John Tyerman Williams (1996). Pooh and the Philosophers: In Which It is Shown That All of Western Philosophy is Merely a Preamble to Winnie-the-Pooh. Dutton Books.
     
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  26. John Tyerman Williams (1995). Pooh and the Philosophers. Methuen.
     
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  27.  43
    Teddy Seidenfeld, Mark J. Schervish & Joseph B. Kadane (2010). Coherent Choice Functions Under Uncertainty. Synthese 172 (1):157 - 176.
    We discuss several features of coherent choice functions —where the admissible options in a decision problem are exactly those that maximize expected utility for some probability/utility pair in fixed set S of probability/utility pairs. In this paper we consider, primarily, normal form decision problems under uncertainty—where only the probability component of S is indeterminate and utility for two privileged outcomes is determinate. Coherent choice distinguishes between each pair of sets of probabilities regardless the “shape” or “connectedness” of the sets of (...)
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  28.  25
    Teddy Seidenfeld (1979). Why I Am Not an Objective Bayesian; Some Reflections Prompted by Rosenkrantz. Theory and Decision 11 (4):413-440.
  29.  2
    Teddy Seidenfeld, Mark J. Schervish & Joseph B. Kadane, Forecasting with Imprecise Probabilities.
    We review de Finetti’s two coherence criteria for determinate probabilities: coherence1defined in terms of previsions for a set of events that are undominated by the status quo – previsions immune to a sure-loss – and coherence2 defined in terms of forecasts for events undominated in Brier score by a rival forecast. We propose a criterion of IP-coherence2 based on a generalization of Brier score for IP-forecasts that uses 1-sided, lower and upper, probability forecasts. However, whereas Brier score is a strictly (...)
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  30.  16
    Teddy Seidenfeld (1988). Decision Theory Without “Independence” or Without “Ordering”. Economics and Philosophy 4 (2):267.
    It is a familiar argument that advocates accommodating the so-called paradoxes of decision theory by abandoning the “independence” postulate. After all, if we grant that choice reveals preference, the anomalous choice patterns of the Allais and Ellsberg problems violate postulate P2 of Savage's system. The strategy of making room for new preference patterns by relaxing independence is adopted in each of the following works: Samuelson, Kahneman and Tversky's “Prospect Theory”, Allais and Hagen, Fishburn, Chew and MacCrimmon, McClennen, and in closely (...)
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  31. Joseph B. Kadane, Mark J. Schervish & Teddy Seidenfeld (1999). Rethinking the Foundations of Statistics. Cambridge University Press.
    This important collection of essays is a synthesis of foundational studies in Bayesian decision theory and statistics. An overarching topic of the collection is understanding how the norms for Bayesian decision making should apply in settings with more than one rational decision maker and then tracing out some of the consequences of this turn for Bayesian statistics. There are four principal themes to the collection: cooperative, non-sequential decisions; the representation and measurement of 'partially ordered' preferences; non-cooperative, sequential decisions; and pooling (...)
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  32. Teddy Seidenfeld & Mark J. Schervish (1983). A Conflict Between Finite Additivity and Avoiding Dutch Book. Philosophy of Science 50 (3):398-412.
    For Savage (1954) as for de Finetti (1974), the existence of subjective (personal) probability is a consequence of the normative theory of preference. (De Finetti achieves the reduction of belief to desire with his generalized Dutch-Book argument for Previsions.) Both Savage and de Finetti rebel against legislating countable additivity for subjective probability. They require merely that probability be finitely additive. Simultaneously, they insist that their theories of preference are weak, accommodating all but self-defeating desires. In this paper we dispute these (...)
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  33.  26
    Teddy Seidenfeld (1986). Entropy and Uncertainty. Philosophy of Science 53 (4):467-491.
    This essay is, primarily, a discussion of four results about the principle of maximizing entropy (MAXENT) and its connections with Bayesian theory. Result 1 provides a restricted equivalence between the two: where the Bayesian model for MAXENT inference uses an "a priori" probability that is uniform, and where all MAXENT constraints are limited to 0-1 expectations for simple indicator-variables. The other three results report on an inability to extend the equivalence beyond these specialized constraints. Result 2 established a sensitivity of (...)
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  34.  6
    Jessica Cisewski, Joseph B. Kadane, Mark J. Schervish, Teddy Seidenfeld & Rafael Stern, Sleeping Beauty’s Credences.
    The Sleeping Beauty problem has spawned a debate between “Thirders” and “Halfers” who draw conflicting conclusions about Sleeping Beauty’s credence that a coin lands Heads. Our analysis is based on a probability model for what Sleeping Beauty knows at each time during the Experiment. We show that conflicting conclusions result from different modeling assumptions that each group makes. Our analysis uses a standard “Bayesian” account of rational belief with conditioning. No special handling is used for self-locating beliefs or centered propositions. (...)
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  35. Teddy Seidenfeld (1978). Direct Inference and Inverse Inference. Journal of Philosophy 75 (12):709-730.
    The JSTOR Archive is a trusted digital repository providing for long-term preservation and access to leading academic journals and scholarly literature from around the world. The Archive is supported by libraries, scholarly societies, publishers, and foundations. It is an initiative of JSTOR, a not-for-profit organization with a mission to help the scholarly community take advantage of advances in technology. For more information regarding JSTOR, please contact support@jstor.org.
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  36. Teddy Brunius (1963). The Uses of Works of Art. Journal of Aesthetics and Art Criticism 22 (2):123-133.
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  37.  43
    Teddy Seidenfeld (1985). Calibration, Coherence, and Scoring Rules. Philosophy of Science 52 (2):274-294.
    Can there be good reasons for judging one set of probabilistic assertions more reliable than a second? There are many candidates for measuring "goodness" of probabilistic forecasts. Here, I focus on one such aspirant: calibration. Calibration requires an alignment of announced probabilities and observed relative frequency, e.g., 50 percent of forecasts made with the announced probability of.5 occur, 70 percent of forecasts made with probability.7 occur, etc. To summarize the conclusions: (i) Surveys designed to display calibration curves, from which a (...)
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  38.  10
    Teddy Seidenfeld, Joseph B. Kadane & Mark J. Schervish (1989). On the Shared Preferences of Two Bayesian Decision Makers. Journal of Philosophy 86 (5):225-244.
  39.  4
    Teddy Seidenfeld, Mark J. Schervish & Joseph B. Kadane, Non-­Conglomerability for Countably Additive Measures That Are Not Κ-­Additive.
    Let κ be an uncountable cardinal. Using the theory of conditional probability associated with de Finetti and Dubins, subject to several structural assumptions for creating sufficiently many measurable sets, and assuming that κ is not a weakly inaccessible cardinal, we show that each probability that is not κ-­additive has conditional probabilities that fail to be conglomerable in a partition of cardinality no greater than κ. This generalizes our result, where we established that each finite but not countably additive probability has (...)
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  40.  7
    Joseph B. Kadane, Teddy Seidenfeld & Mark J. Schervish, A Rubinesque Theory of Decision.
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  41.  11
    Teddy Seidenfel, Mark J. Schervish & Joseph B. Kadane (2012). What Kind of Uncertainty is That? Using Personal Probability for Expressing One's Thinking About Logical and Mathematical Propositions. Journal of Philosophy 109 (8-9):516-533.
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  42.  27
    Mark J. Schervish, Teddy Seidenfeld & Joseph B. Kadane, State-Dependent Utilities.
    Several axiom systems for preference among acts lead to a unique probability and a state-independent utility such that acts are ranked according to their expected utilities. These axioms have been used as a foundation for Bayesian decision theory and subjective probability calculus. In this article we note that the uniqueness of the probability is relative to the choice of whatcounts as a constant outcome. Although it is sometimes clear what should be considered constant, in many cases there are several possible (...)
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  43.  8
    Mark J. Schervish, Teddy Seidenfeld & Joseph B. Kadane, Infinite Previsions and Finitely Additive Expectations.
    We give an extension of de Finetti’s concept of coherence to unbounded random variables that allows for gambling in the presence of infinite previsions. We present a finitely additive extension of the Daniell integral to unbounded random variables that we believe has advantages over Lebesgue-style integrals in the finitely additive setting. We also give a general version of the Fundamental Theorem of Prevision to deal with conditional previsions and unbounded random variables.
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  44.  43
    Teddy Seidenfeld (2001). Remarks on the Theory of Conditional Probability: Some Issues of Finite Versus Countable Additivity. In Vincent F. Hendricks, Stig Andur Pederson & Klaus Frovin Jørgensen (eds.), Probability Theory: Philosophy, Recent History and Relations to Science. Synthese Library, Kluwer
    This paper discusses some differences between the received theory of regular conditional distributions, which is the countably additive theory of conditional probability, and a rival theory of conditional probability using the theory of finitely additive probability. The focus of the paper is maximally "improper" conditional probability distributions, where the received theory requires, in effect, that P{a: P = 0} = 1. This work builds upon the results of Blackwell and Dubins.
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  45.  7
    Fabio Cozman, Sebastien Destercke & Teddy Seidenfeld, Imprecise Probability: Theories and Applications.
    This special issue of the International Journal of Approximate Reasoning grew out of the 8th International Symposium on Imprecise Probability: Theories and Applications. The symposium was organized by the Society for Imprecise Probability: Theories and Applications at the Université de Technologie de Compiègne in July 2013. The biennial ISIPTA meetings are well established among international conferences on generalized methods for uncertainty quantification. The first ISIPTA took place in Gent in 1999, followed by meetings in Cornell, Lugano, Carnegie Mellon, Prague, Durham (...)
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  46.  7
    Mark J. Schervish, Teddy Seidenfeld & Joseph B. Kadane, Dominating Countably Many Forecasts.
    We investigate differences between a simple Dominance Principle applied to sums of fair prices for variables and dominance applied to sums of forecasts for variables scored by proper scoring rules. In particular, we consider differences when fair prices and forecasts correspond to finitely additive expectations and dominance is applied with infinitely many prices and/or forecasts.
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  47.  51
    Teddy Seidenfeld, Mark J. Schervish & Joseph B. Kadane, Preference for Equivalent Random Variables: A Price for Unbounded Utilities.
    When real-valued utilities for outcomes are bounded, or when all variables are simple, it is consistent with expected utility to have preferences defined over probability distributions or lotteries. That is, under such circumstances two variables with a common probability distribution over outcomes – equivalent variables – occupy the same place in a preference ordering. However, if strict preference respects uniform, strict dominance in outcomes between variables, and if indifference between two variables entails indifference between their difference and the status quo, (...)
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  48.  11
    Teddy Seidenfeld (1977). The Logical Foundations of Statistical Inference. [REVIEW] Journal of Philosophy 74 (1):47-62.
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  49. Joseph B. Kadane, Mark J. Schervish & Teddy Seidenfeld, What Experiment Did We Just Do?
    Experimenters sometimes insist that it is unwise to examine data before determining how to analyze them, as it creates the potential for biased results. I explore the rationale behind this methodological guideline from the standpoint of an error statistical theory of evidence, and I discuss a method of evaluating evidence in some contexts when this predesignation rule has been violated. I illustrate the problem of potential bias, and the method by which it may be addressed, with an example from the (...)
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  50.  23
    Timothy Herron, Teddy Seidenfeld & Larry Wasserman (1997). Divisive Conditioning: Further Results on Dilation. Philosophy of Science 64 (3):411-444.
    Conditioning can make imprecise probabilities uniformly more imprecise. We call this effect "dilation". In a previous paper (1993), Seidenfeld and Wasserman established some basic results about dilation. In this paper we further investigate dilation on several models. In particular, we consider conditions under which dilation persists under marginalization and we quantify the degree of dilation. We also show that dilation manifests itself asymptotically in certain robust Bayesian models and we characterize the rate at which dilation occurs.
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