Probability Theory: The Logic of Science

By K. Gupta. 2011

334 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/2ad096f33b3e3d13dd8e25ccfd8c1864749e18c8

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Citations in the corpus

Towards a generic test of the strong field dynamics of general relativity using compact binary coalescence: Further investigations (2011, methodology): “Bayesian Inference At the heart of the method we proposed in [49] lies the question “to what degree do we believe GR is the correct theory describing the detected signals?” This question is best answered within the framework of Bayesian model selection [50].”
Surrogate accelerated sampling of reservoir models with complex structures using sparse polynomial chaos expansion (2015, unknown): “posterior probability for the reservoir properties [13].”
Efficient tomography of a quantum many-body system (2016, background): “The complexity of an MPS is determined by the amount of entanglement in the system it describes, as quantified in [15, 16].”
The Bounds of Reason (2014, background): “The subjectivist interpretation of probability (di Finetti 1974; Jaynes 2003) is persuasive as a model of human behavior but is a partial view because it cannot explain why individuals agree on certain probabilities.(1) For standard explanations of common priors, we must turn to the frequency theori”
A Minimum Relative Entropy Principle for Learning and Acting (2008, background): “In addition, both operation modes have their policies P1 and P2 respectively confined to region A. Note that both operation modes are in the core of each other.”
Parton distributions with LHC data (2012, background): “[6], related to the so-called Borel-Kolmogorov paradox of probability theory [100].”
GALACTIC MASERS AND THE MILKY WAY CIRCULAR VELOCITY (2009, unknown): “Parameter estimation in a probabilistic framework by necessity uses Bayes’s theorem to connect the probability of the model parameters given the data {xobsi , vobsi } to the probability of the observed data given the model parameters (e.g., Jaynes 2003).”
QBism, the Perimeter of Quantum Bayesianism (2010, background): “Jaynes [22]) as measures of ignorance or imperfect knowledge.”
Inference of cosmological parameters from gravitational waves: Applications to second generation interferometers (2011, background): “2007, Living Reviews in Relativity, 10, 4 [20] E.”