scholarly journals A Probabilistic Theory of Designs Based on Distributions

2013 ◽  
pp. 105-123 ◽  
Author(s):  
Riccardo Bresciani ◽  
Andrew Butterfield
Keyword(s):  
Probabilistic Theory

Vector data contrast based on probabilistic theory and compound criteria

2010 ◽  
Vol 30 (10) ◽  
pp. 2602-2604
Author(s):  
Shun-ping ZHOU ◽  
Huai-ying LIU
Keyword(s):  
Vector Data ◽  
Probabilistic Theory

Implications for the epistemic auxiliaries

2017 ◽  
Author(s):  
Daniel Lassiter
Keyword(s):  
Modal Logic ◽  
Probabilistic Theory ◽  
Context Sensitive ◽  
Rule Out

The semantics of the adjectives places strong constraints on theories of the better-studied epistemic auxiliaries. This chapter motivates some basic connections – for instance, must asymmetrically entails likely; likely asymmetrically entails might and possible; and certain asymmetrically entails must (modulo the evidential presupposition of the latter). In addition, I present a lottery experiment showing that might has a context-sensitive meaning that is stronger than possible’s. These connections suffice to rule out the classical treatment from modal logic, as revived recently by von Fintel & Gillies (2010). It also rules out Kratzer’s (1991) theory. The probabilistic theory of Swanson (2006); Lassiter (2011, 2016) satisfies our desiderata, though, as does Swanson’s (2015) blend of the scalar semantics with Kratzer’s account. Both have access to a plausible formalization of must’s evidential component, but the latter has additional interesting features – both strengths and weaknesses – involving dualities and the treatment of so-called “epistemic ought”.

Extending the role of bias in probabilistic theory revision

1994 ◽  
Vol 6 (2) ◽  
pp. 197-214 ◽  
Author(s):  
Ronen Feldman ◽  
Moshe Koppel ◽  
Alberto Segre
Keyword(s):  
Theory Revision ◽  
Probabilistic Theory

scholarly journals Projective metric number theory

2016 ◽  
Vol 2016 (712) ◽  
Author(s):  
Anish Ghosh ◽  
Alan Haynes
Keyword(s):  
Number Theory ◽  
Projective Space ◽  
Diophantine Approximation ◽  
Higher Dimension ◽  
Probabilistic Theory ◽  
Metric Number Theory ◽  
Projective Metric

AbstractIn this paper we consider the probabilistic theory of Diophantine approximation in projective space over a completion of ℚ. Using the projective metric studied in [Ann. Sc. Norm. Super. Pisa Cl. Sci. (4) 23 (1996), no. 2, 211–248] we prove the analogue of Khintchine's theorem in projective space. For finite places and in higher dimension, we are able to completely remove the condition of monotonicity and establish the analogue of the Duffin–Schaeffer conjecture.

scholarly journals Examination on the Tensile Strengths of Hydraulic Fracturing Using the Probabilistic Theory of Fracture

2005 ◽  
Vol 121 (12) ◽  
pp. 576-582 ◽  
Author(s):  
Tsuyoshi ISHIDA ◽  
Hiroshi OKA ◽  
Nobuo YONEHIRO ◽  
Youichi TAMURA ◽  
Yoshiaki MIZUTA
Keyword(s):  
Hydraulic Fracturing ◽  
Probabilistic Theory

Research on the Non-Probabilistic Reliability Based on Interval Model

2012 ◽  
Vol 166-169 ◽  
pp. 1908-1912 ◽  
Author(s):  
Ai Rong Zhang ◽  
Xiao Liu
Keyword(s):  
Minimum Distance ◽  
Fuzzy Model ◽  
Uncertain Parameters ◽  
Reliability Model ◽  
Probabilistic Theory ◽  
Interval Model ◽  
Uncertain Variables ◽  
Sample Data ◽  
Failure Region ◽  
Robust Reliability

Due to the dependence of the sample data for a probabilistic reliability model and the fuzzy model, the interval model was used to describe the uncertain parameters through which a new measure of non-probabilistic reliability was established. Studying the model with the non-probabilistic theory, a new measure of non-probabilistic reliability was established which was the minimum distance between the failure region and the total region constructed by all uncertain variables. This kind of measure not only is consistent with the criterion of the non-probabilistic robust reliability, but also has a clearer meaning. The validity and the feasibility were proved through a computational example.

The “Beauty” of the “Beast”: Human Creativity and Probabilism

1988 ◽  
Vol 8 (4) ◽  
pp. 327-341 ◽  
Author(s):  
James W. Mueller
Keyword(s):  
Probability Theory ◽  
Logical System ◽  
Probabilistic Theory ◽  
Traditional Role ◽  
Theoretical Position ◽  
Human Creativity

The role of probabilistic theory qua logical system that leads from a stated theoretical position and data to truth and knowledge is the focus of this essay. The traditional role of probability theory qua statistics as a number-crunching tool to cook data has been over-emphasized. Probabilism is offered as a dialectical alternative to emphasize the human, logical, and creative aspects of probability theory as it can be used by truth-seeking anthropologists of this and the next century.

scholarly journals Toward a probabilistic theory of the measuring systems

2018 ◽  
Vol 1065 ◽  
pp. 072008
Author(s):  
Giovanni Battista Rossi ◽  
Francesco Crenna ◽  
Alice Palazzo
Keyword(s):  
Probabilistic Theory ◽  
Measuring Systems
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