Results for 'Statistische Interpretation statistical interpretation'

966 found
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  1.  34
    (1 other version)Statistische wahrscheinlichkeit und statistische physik.W. Büchel - 1975 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 6 (1):7-18.
    W. Stegmüller sees the decisive difficulty of the Laplacean interpretation of Carnaps probability in the lack of the required equiprobable possibilities. It is argued that the required equiprobabilities in physics are given by statistical mechanics and can easily be transferred from physics to general statistical problems.
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  2. Gott würfelt nicht. Einsteins immer noch aktuelle Kritik der Quantenmechanik.Gregor Schiemann - 2005 - In Jürgen Renn, Albert Einstein. Ingenieur des Universums. 100 Autoren für Einstein. Wiley-VCH.
    Kaum eine Äußerung Einsteins ist so bekannt wie sein Wort, dass Gott nicht würfelt. In ähnlicher Weise, wie Einstein dies unerläutert gelassen hat, ist seine gesamte Position zur Quantenmechanik, auf die es sich bezieht, von Uneindeutigkeiten nicht frei geblieben. Für seine Würfelmetapher ergibt sich ein Spielraum von gegensätzlichen Sichtweisen. Sie lässt sich zum einen mit jüngeren Forschungsresultaten verbinden und weist zum anderen auf rückschrittliche Elemente in Einsteins Denken hin. Ich wende mich zuerst diesen Elementen zu und betrachte dann eine dazu (...)
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  3.  75
    Compatible statistical interpretation of a wave packet.Mirjana Božić & Zvonko Marić - 1995 - Foundations of Physics 25 (1):159-173.
    A compatible statistical interpretation of a wave packet is proposed. De Broglian probabilities which unite wave and particle features of quantons are evaluated for free wave packets and Jor a superposition of wave packets. The obtained expressions provide a very plausible and physically appealing explanation of coherence in apparently incoherent beams and of the characteristic modulation of the momentum distribution, found recently in neutron interferometry combined with spectral filtering. Certain conclusions about dualism and objectivity in quantum domain are (...)
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  4.  37
    What Was Born's Statistical Interpretation?Linda Wessels - 1980 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1980:187-200.
    The statistical interpretation introduced by Born in mid-1926 is not the interpretation now associated with his name. Born's own understanding of that interpretation is revealed by looking at some of its roots in Born's earlier work with Franck on collisions, his collaboration with Jordan on that topic, his contributions to matrix mechanics, his attempt in collaboration with Wiener at an operator formulation of quantum mechanics, and at the exposition of the interpretation in Born's first papers (...)
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  5. Is the Statistical Interpretation of Quantum Mechanics ψ-Ontic or ψ-Epistemic?Mario Hubert - 2023 - Foundations of Physics 53 (16):1-23.
    The ontological models framework distinguishes ψ-ontic from ψ-epistemic wave- functions. It is, in general, quite straightforward to categorize the wave-function of a certain quantum theory. Nevertheless, there has been a debate about the ontological status of the wave-function in the statistical interpretation of quantum mechanics: is it ψ-epistemic and incomplete or ψ-ontic and complete? I will argue that the wave- function in this interpretation is best regarded as ψ-ontic and incomplete.
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  6.  11
    Individualistic versus statistical interpretation of quantum mechanics.Peter Mittelstaedt - 1999 - In Maria Luisa Dalla Chiara, Language, Quantum, Music. Springer. pp. 231--239.
  7.  92
    Can the Statistical Interpretation of Quantum Mechanics be Inferred from the Schrödinger Equation?—Bell and Gottfried.M. A. B. Whitaker - 2008 - Foundations of Physics 38 (5):436-447.
    In his paper titled ‘Against “measurement” ’ [Physics World 3(8), 33–40 [1990]], Bell criticised arguments that use the concept of measurement to justify the statistical interpretation of quantum theory. Among these was the text of Gottfried [Quantum Mechanics (Benjamin, New York, [1966])]. Gottfried has replied to this criticism, claiming to show that, for systems with both continuous and discrete degrees of freedom, the statistical interpretation for the discrete variables is implied by requiring that the continuous variables (...)
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  8. Does the Minimal Statistical Interpretation of Quantum Mechanics Resolve the Measurement Problem?Nicholas Maxwell - 1975 - Methodology and Science 8:84-101.
    It is argued that the so-called minimal statistical interpretation of quantum mechanics does not completely resolve the measurement problem in that this view is unable to show that quantjum mechanics can dispense with classical physics when it comes to a treatment of the measuring interaction. It is suggested that the view that quantum mechanics applies to individual systems should not be too hastily abandoned, in that this view gives perhaps the best hope of leading to a version of (...)
     
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  9.  42
    The measurement statistics interpretation of quantum mechanics: Possible values and possible measurement results of physical quantities. [REVIEW]Gianni Cassinelli & Pekka J. Lahti - 1989 - Foundations of Physics 19 (7):873-890.
    Starting with the Born interpretation of quantum mechanics, we show that the quantum theory of measurement, supplemented by the strong law of large numbers, leads to a measurement statistics interpretation of quantum mechanics. A probabilistic characterization of the spectrum of a physical quantity is given, and an analysis of the notions of possible values and possible measurement results is carried out.
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  10.  76
    What's wrong with the emergentist statistical interpretation of natural selection and random drift.Robert N. Brandon & Grant Ramsey - 2007 - In David L. Hull & Michael Ruse, The Cambridge Companion to the Philosophy of Biology. New York: Cambridge University Press. pp. 66--84.
    Population-level theories of evolution—the stock and trade of population genetics—are statistical theories par excellence. But what accounts for the statistical character of population-level phenomena? One view is that the population-level statistics are a product of, are generated by, probabilities that attach to the individuals in the population. On this conception, population-level phenomena are explained by individual-level probabilities and their population-level combinations. Another view, which arguably goes back to Fisher but has been defended recently, is that the population-level statistics (...)
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  11.  39
    What's Wrong with the Emergentist Statistical Interpretation of Natural Selection and Random Drift?Robert N. Brandon & Grant Ramsey - 2007 - In David L. Hull & Michael Ruse, The Cambridge Companion to the Philosophy of Biology. New York: Cambridge University Press. pp. 66-84.
    Population-level theories of evolution—the stock and trade of population genetics—are statistical theories par excellence. But what accounts for the statistical character of population-level phenomena? One view is that the population-level statistics are a product of, are generated by, probabilities that attach to the individuals in the population. On this conception, population-level phenomena are explained by individual-level probabilities and their population-level combinations. Another view, which arguably goes back to Fisher but has been defended recently, is that the population-level statistics (...)
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  12. What is Einstein's statistical interpretation, or, is it Einstein for whom bell's theorem tolls?Arthur Fine - 1984 - Topoi 3 (1):23-36.
  13. A simple proof of Born’s rule for statistical interpretation of quantum mechanics.Biswaranjan Dikshit - 2017 - Journal for Foundations and Applications of Physics 4 (1):24-30.
    The Born’s rule to interpret the square of wave function as the probability to get a specific value in measurement has been accepted as a postulate in foundations of quantum mechanics. Although there have been so many attempts at deriving this rule theoretically using different approaches such as frequency operator approach, many-world theory, Bayesian probability and envariance, literature shows that arguments in each of these methods are circular. In view of absence of a convincing theoretical proof, recently some researchers have (...)
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  14.  42
    The mechanical versus the statistical interpretation of natural law.Marie T. Collins - 1921 - Philosophical Review 30 (3):255-270.
  15. The early statistical interpretations of quantum mechanics in the USA and USSR.Alexander Pechenkin - 2012 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 43 (1):25-34.
  16.  58
    Natural Selection, Mechanism, and the Statistical Interpretation.Fermín C. Fulda - 2017 - Philosophy of Science 84 (5):1080-1092.
    What is natural selection? I address this question by exploring the relation between two debates: Is natural selection a mechanism? Is natural selection a causal or a statistical theory? I argue that the first can be assessed only relative to a model and that, following the second, there are two fundamentally different and independent kinds of models, Modern-Synthesis and Darwinian models. MS-models, I argue, are not mechanistic even if they are causal. D-models, in contrast, are mechanistic. A causal-mechanistic (...) of D-models is thus compatible with a statistical interpretation of MS-models. Natural selection, I conclude, lacks a single, unifying nature. (shrink)
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  17.  6
    Knowledge-How, Ability, and Counterfactual Success. A Statistical Interpretation.Adrian Luduşan - 2020 - Studia Universitatis Babeş-Bolyai Philosophia:51-66.
    The paper is thematically divided into two parts. In the first part, we will address the arguments raised against the anti-intellectualist thesis that ability is a necessary condition for knowledge-how, present Katherine Hawley’s proposed generic solution based on counterfactual success in order to overcome these arguments, followed by an analysis of Bengson & Moffett’s counterargument to Hawley’s counterfactual success thesis [CST]. We will conclude that Bengson & Moffett’s counterargument misses its target, so that, as far as we are concerned, Katherine (...)
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  18.  23
    Graphology in Germany in the 1920s and 1930sGraphologie in Deutschland in den 1920ern und 1930ern.Laurens Schlicht - 2020 - NTM Zeitschrift für Geschichte der Wissenschaften, Technik und Medizin 28 (2):149-179.
    In this article I examine how psychologists, amateurs and actors in the police and in juridical fields positioned themselves in the 1920s and 1930s on the scientific nature of graphology. Graphology, the study of the character from handwriting, was linked with the hope of providing reliable methods for the investigation of psychological states and dispositions. The essay argues that on an epistemic level two different models have been represented to support the scientific nature of graphology: for one thing resorting to (...)
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  19.  40
    Reinterpretation of Quantum Mechanics Based on the Statistical Interpretation.Hisato Shirai - 1998 - Foundations of Physics 28 (11):1633-1662.
    I attempt to develop further the statistical interpretation of quantum mechanics proposed by Einstein and developed by Popper, Ballentine, etc. Two ideas are proposed in the present paper. One is to interpret momentum as a property of an ensemble of similarly prepared systems which is not satisfied by any one member of the ensemble of systems. Momentum is regarded as a statistical parameter like temperature in statistical mechanics. The other is the holistic assumption that a probability (...)
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  20.  31
    Statistical mechanical interpretation of temperature.Peter G. Nelson - 2019 - Foundations of Chemistry 21 (3):325-331.
    A statistical mechanical treatment is given of thermal contact between two systems. Reciprocal temperature emerges from this as the relative change in the number of microscopic states a macroscopic system at equilibrium ranges over, at constant volume and chemical composition, with change in internal energy. The significance of this is discussed in detail with reference to a monatomic gas and an Einstein solid.
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  21. Interpretive analogies between quantum and statistical mechanics.C. D. McCoy - 2020 - European Journal for Philosophy of Science 10 (1):9.
    The conspicuous similarities between interpretive strategies in classical statistical mechanics and in quantum mechanics may be grounded on their employment of common implementations of probability. The objective probabilities which represent the underlying stochasticity of these theories can be naturally associated with three of their common formal features: initial conditions, dynamics, and observables. Various well-known interpretations of the two theories line up with particular choices among these three ways of implementing probability. This perspective has significant application to debates on primitive (...)
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  22. An Alternative Interpretation of Statistical Mechanics.C. D. McCoy - 2020 - Erkenntnis 85 (1):1-21.
    In this paper I propose an interpretation of classical statistical mechanics that centers on taking seriously the idea that probability measures represent complete states of statistical mechanical systems. I show how this leads naturally to the idea that the stochasticity of statistical mechanics is associated directly with the observables of the theory rather than with the microstates (as traditional accounts would have it). The usual assumption that microstates are representationally significant in the theory is therefore dispensable, (...)
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  23.  13
    Statistical Correlation as an Interpretative Aid.Alastair McKinnon - 1975 - Proceedings of the XVth World Congress of Philosophy 6:811-816.
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  24.  9
    Statistical considerations in interpreting the effect of training on individual differences.J. Crosby Chapman - 1925 - Psychological Review 32 (3):224-234.
  25.  68
    Die Falsifikation Statistischer Hypothesen/The falsification of statistical hypotheses.Max Albert - 1992 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 23 (1):1-32.
    It is widely held that falsification of statistical hypotheses is impossible. This view is supported by an analysis of the most important theories of statistical testing: these theories are not compatible with falsificationism. On the other hand, falsificationism yields a basically viable solution to the problems of explanation, prediction and theory testing in a deterministic context. The present paper shows how to introduce the falsificationist solution into the realm of statistics. This is done mainly by applying the concept (...)
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  26. The Ethical Impact of Statistical Knowledge and Probabilities / Wie statistischer Erkenntnisgewinn und Wahrscheinlichkeiten die Ethik verändern.Annette Dufner - 2024 - In Andreas Bartels & Dennis Lehmkuhl, Weshalb auf die Wissenschaft hören? Berlin: Springer.
    Scientific findings nowadays often rely on statistical analyses, are expressed in terms of probabilities, and are frequently developed based on model calculations. These circumstances contribute to a disconnect between scientific predictions and people's everyday risk assessments. Situations such as the COVID-19 pandemic, climate issues, or the downsides of global trade are particularly affected by this phenomenon. In these areas especially, the growth of knowledge implies new and far-reaching ethical (preventive) obligations for humanity. This chapter argues that a successful relationship (...)
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  27.  75
    Interpreting Probabilities in Quantum Field Theory and Quantum Statistical Mechanics.Laura Ruetsche & John Earman - 2011 - In Claus Beisbart & Stephan Hartmann, Probabilities in Physics. Oxford, GB: Oxford University Press. pp. 263.
    Philosophical accounts of quantum theory commonly suppose that the observables of a quantum system form a Type-I factor von Neumann algebra. Such algebras always have atoms, which are minimal projection operators in the case of quantum mechanics. However, relativistic quantum field theory and the thermodynamic limit of quantum statistical mechanics make extensive use of von Neumann algebras of more general types. This chapter addresses the question whether interpretations of quantum probability devised in the usual manner continue to apply in (...)
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  28. Statistical mechanics and the ontological interpretation.D. Bohm & B. J. Hiley - 1996 - Foundations of Physics 26 (6):823-846.
    To complete our ontological interpretation of quantum theory we have to conclude a treatment of quantum statistical mechanics. The basic concepts in the ontological approach are the particle and the wave function. The density matrix cannot play a fundamental role here. Therefore quantum statistical mechanics will require a further statistical distribution over wave functions in addition to the distribution of particles that have a specified wave function. Ultimately the wave function of the universe will he required, (...)
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  29. Quantum Statistics, Quantum Field Theory, and the Interpretation Problem.Allen Ginsberg - 1983 - Dissertation, Rutgers the State University of New Jersey - New Brunswick
    Although philosophers have considered some of the implications of the nature of quantum statistics of many-particle systems for the interpretation problem, e.g., Reichenbach, they have not produced a complete analysis of the relationship between aspects of quantum statistics and complications and/or possible solutions of the interpretation problem. While the present work by no means provides a complete account, it does explore some heretofore uncharted regions. One of the latter is an analysis of a situation that I call 'The (...)
     
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  30.  99
    Statistical explanation in physics: The copenhagen interpretation.Richard Schlegel - 1970 - Synthese 21 (1):65 - 82.
    The statistical aspects of quantum explanation are intrinsic to quantum physics; individual quantum events are created in the interactions associated with observation and are not describable by predictive theory. The superposition principle shows the essential difference between quantum and non-quantum physics, and the principle is exemplified in the classic single-photon two-slit interference experiment. Recently Mandel and Pfleegor have done an experiment somewhat similar to the optical single-photon experiment but with two independently operated lasers; interference is obtained even with beam (...)
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  31.  25
    Statistical Power and P-values: An Epistemic Interpretation Without Power Approach Paradoxes.Guillaume Rochefort-Maranda - unknown
    It has been claimed that if statistical power and p-values are both used to measure the strength of our evidence for the null-hypothesis when the results of our tests are not significant, then they can also be used to derive inconsistent epistemic judgements as we compare two different experiments. Those problematic derivations are known as power approach paradoxes. The consensus is that we can avoid them if we abandon the idea that statistical power can measure the strength of (...)
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  32. Statistical mechanics and the propensity interpretation of probability.Peter Clark - 2001 - In Jean Bricmont & Others, Chance in Physics: Foundations and Perspectives. Springer. pp. 271--81.
     
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  33. Ergodic theory, interpretations of probability and the foundations of statistical mechanics.Janneke van Lith - 2001 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 32 (4):581--94.
    The traditional use of ergodic theory in the foundations of equilibrium statistical mechanics is that it provides a link between thermodynamic observables and microcanonical probabilities. First of all, the ergodic theorem demonstrates the equality of microcanonical phase averages and infinite time averages (albeit for a special class of systems, and up to a measure zero set of exceptions). Secondly, one argues that actual measurements of thermodynamic quantities yield time averaged quantities, since measurements take a long time. The combination of (...)
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  34.  65
    (1 other version)Interpreting theories: the case of statistical mechanics.L. Sklar - 2000 - British Journal for the Philosophy of Science 51 (4):729-742.
  35. Can the statistical postulate of quantum theory be derived?—A critique of the many-universes interpretation.L. E. Ballentine - 1973 - Foundations of Physics 3 (2):229-240.
    The attempt to derive (rather than assume) the statistical postulate of quantum theory from the many-universes interpretation of Everett and De Witt is analyzed The many-universes interpretation is found to be neither necessary nor sufficient for the task.
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  36. Statistischer Anhang zu "Deutscher Empirismus".Christian Damböck - manuscript
    Die hier zusammengefassten statistischen Daten waren ursprünglich als Teil meiner Habilitationsschrift "〈Deutscher Empirismus〉. Studien zur Philosophie im deutschsprachigen Raum 1830-1930" (erscheint 2016 oder 2017 bei Springer) gedacht. In der Endfassung des Manuskripts wurden diese Daten jedoch nicht mehr im Detail aufgenommen, weil sich herausgestellt hat, dass eine plausible Interpretation dieses Materials den Rahmen meiner Arbeit bei weitem sprengen und umfangreiche zusätzliche Recherchen erfordern würde. Dieses Dokument versteht sich als Skizze zu einer in Zukunft noch zu schreibenden Arbeit zur Universitätsstatistik (...)
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  37.  33
    The interpretation and justification of the subjective bayesian approach to statistical inference.Richard Buxton - 1978 - British Journal for the Philosophy of Science 29 (1):25-38.
  38.  38
    Statistische Schlussweisen in Entscheidungsbegründungen.Michael Mauer - 2015 - Archiv für Rechts- und Sozialphilosophie 101 (1):87-123.
    The purpose of this paper is, while discussing in detail Helmut Rüßmann's theory of judicial factfinding, to demonstrate how probability theory can be used in dealing with a situation where the court has not obtained full evidence, but probability assumptions are possible with regard to circumstantial evidence. After giving a brief overview of provisions of German law which include the concept of probability, elementary features of probability calculus and statistical inference are outlined. The focus of the discussion of Rüßmann's (...)
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  39.  30
    Kierkegaard's interpretation of his 'authorship': Some statistical evidence.Alastair McKinnon - 1984 - Inquiry: An Interdisciplinary Journal of Philosophy 27 (1-4):225 – 233.
    In The Point of View for my Work as an Author, Kierkegaard declares that the works discussed therein move from the aesthetic to the religious, that the Postscript represents the turning point in this movement, etc. In this brief and preliminary study we use a ?change?point? version of the chi?square test on the frequencies of selected sets of ?aesthetic? and ?religious? words to determine the degree of statistical evidence for these and other related claims. Briefly, these tests show that (...)
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  40.  44
    Statistical Data and Mathematical Propositions.Cory Juhl - 2015 - Pacific Philosophical Quarterly 96 (1):100-115.
    Statistical tests of the primality of some numbers look similar to statistical tests of many nonmathematical, clearly empirical propositions. Yet interpretations of probability prima facie appear to preclude the possibility of statistical tests of mathematical propositions. For example, it is hard to understand how the statement that n is prime could have a frequentist probability other than 0 or 1. On the other hand, subjectivist approaches appear to be saddled with ‘coherence’ constraints on rational probabilities that require (...)
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  41. Some problems of causal interpretation of statistical relationships.Stefan Nowak - 1960 - Philosophy of Science 27 (1):23-38.
    In following paper an attempt will be made to analyse the statistical relationships between variables as the functions of causal relations existing between them. Our basic assumption here is that statistical relationships between traits, events, or characteristics of objects, may be logically derived from the pattern of their mutual causal connections, if this pattern is described by appropriate concepts and with sufficient precision. The first part of the paper presents basic concepts, which according to author's view may serve (...)
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  42. Do Statistical Laws Solve the 'Problem of Provisos'?Alexander Reutlinger - 2014 - Erkenntnis 79 (S10):1759-1773.
    In their influential paper “Ceteris Paribus, There is No Problem of Provisos”, Earman and Roberts (Synthese 118:439–478, 1999) propose to interpret the non-strict generalizations of the special sciences as statistical generalizations about correlations. I call this view the “statistical account”. Earman and Roberts claim that statistical generalizations are not qualified by “non-lazy” ceteris paribus conditions. The statistical account is an attractive view, since it looks exactly like what everybody wants: it is a simple and intelligible theory (...)
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  43.  15
    Statistics and the German State, 1900–1945: The Making of Modern Economic Knowledge.J. Adam Tooze - 2001 - Cambridge University Press.
    Tooze provides an interpretation of the dramatic period of statistical innovation between 1900 and the end of World War II. At the turn of the century, virtually none of the economic statistics that we take for granted today were available. By 1944, the entire repertoire of modern economic statistics was being put to work in wartime economic management. As this book reveals, the Weimar Republic and the Third Reich were in the forefront of statistical innovation in the (...)
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  44.  56
    Statistical inference and quantum mechanical measurement.Rodney W. Benoist, Jean-Paul Marchand & Wolfgang Yourgrau - 1977 - Foundations of Physics 7 (11-12):827-833.
    We analyze the quantum mechanical measuring process from the standpoint of information theory. Statistical inference is used in order to define the most likely state of the measured system that is compatible with the readings of the measuring instrument and the a priori information about the correlations between the system and the instrument. This approach has the advantage that no reference to the time evolution of the combined system need be made. It must, however, be emphasized that the result (...)
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  45.  34
    Unifying statistically autonomous and mathematical explanations.Travis L. Holmes - 2021 - Biology and Philosophy 36 (3):1-22.
    A subarea of the debate over the nature of evolutionary theory addresses what the nature of the explanations yielded by evolutionary theory are. The statisticalist line is that the general principles of evolutionary theory are not only amenable to a mathematical interpretation but that they need not invoke causes to furnish explanations. Causalists object that construction of these general principles involves crucial causal assumptions. A recent view claims that some biological explanations are statistically autonomous explanations (SAEs) whereby phenomena are (...)
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  46. Four Pillars of Statisticalism.Denis M. Walsh, André Ariew & Mohan Matthen - 2017 - Philosophy, Theory, and Practice in Biology 9 (1):1-18.
    Over the past fifteen years there has been a considerable amount of debate concerning what theoretical population dynamic models tell us about the nature of natural selection and drift. On the causal interpretation, these models describe the causes of population change. On the statistical interpretation, the models of population dynamics models specify statistical parameters that explain, predict, and quantify changes in population structure, without identifying the causes of those changes. Selection and drift are part of a (...)
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  47.  82
    Quantum statistical determinism.Eftichios Bitsakis - 1988 - Foundations of Physics 18 (3):331-355.
    This paper attempts to analyze the concept of quantum statistical determinism. This is done after we have clarified the epistemic difference between causality and determinism and discussed the content of classical forms of determinism—mechanical and dynamical. Quantum statistical determinism transcends the classical forms, for it expresses the multiple potentialities of quantum systems. The whole argument is consistent with a statistical interpretation of quantum mechanics.
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  48.  60
    Mathematical statistics and metastatistical analysis.Andrés Rivadulla - 1991 - Erkenntnis 34 (2):211 - 236.
    This paper deals with meta-statistical questions concerning frequentist statistics. In Sections 2 to 4 I analyse the dispute between Fisher and Neyman on the so called logic of statistical inference, a polemic that has been concomitant of the development of mathematical statistics. My conclusion is that, whenever mathematical statistics makes it possible to draw inferences, it only uses deductive reasoning. Therefore I reject Fisher's inductive approach to the statistical estimation theory and adhere to Neyman's deductive one. On (...)
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  49. Disparate Statistics.Kevin P. Tobia - 2017 - Yale Law Journal 126 (8):2382-2420.
    Statistical evidence is crucial throughout disparate impact’s three-stage analysis: during (1) the plaintiff’s prima facie demonstration of a policy’s disparate impact; (2) the defendant’s job-related business necessity defense of the discriminatory policy; and (3) the plaintiff’s demonstration of an alternative policy without the same discriminatory impact. The circuit courts are split on a vital question about the “practical significance” of statistics at Stage 1: Are “small” impacts legally insignificant? For example, is an employment policy that causes a one percent (...)
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  50.  28
    G -LIME: Statistical learning for local interpretations of deep neural networks using global priors.Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen & Dejing Dou - 2023 - Artificial Intelligence 314 (C):103823.
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