Results 41 to 50 of about 420 (131)
Is A Little Learning Dangerous?
ABSTRACT I argue that a little learning is often dangerous even for ideal reasoners who are operating in extremely simple scenarios and know all the relevant facts about how the evidence is generated. More precisely, I show that, on many plausible ways of assigning value to a credence in a hypothesis H, ideal Bayesians should sometimes expect other ...
Bernhard Salow
wiley +1 more source
Nonparametric Survival Estimation With Contaminated and Adjudicated Events
ABSTRACT We study the conditional expert Kaplan–Meier estimator, an extension of the classical Kaplan–Meier estimator designed for time‐to‐event data subject to both right‐censoring and contamination. Such contamination, where observed events may not reflect true outcomes, is common in applied settings, including insurance and credit risk, where expert
Martin Bladt, Kristian Vilhelm Dinesen
wiley +1 more source
Towards a new toolbox of statistical primitives: Optimally estimating the mean of a distribution
Abstract Mean estimation is perhaps the most fundamental building block of statistics, yet the tools we use are surprisingly brittle. For example, the conventional method of using the sample mean can be made arbitrarily bad with a single extreme data point.
Jasper C. H. Lee
wiley +1 more source
The famous singlet correlations of a composite quantum system consisting of two two-level components in the singlet state exhibit notable features of two kinds. One kind are striking certainty relations: perfect anti-correlation, and perfect correlation,
Richard David Gill
doaj +1 more source
Entanglement, Space–Time Coordinates, and Bell's Inequalities in Photon–Polarization Experiments
This work presents a revised analysis of Bell‐type inequalities. It is argued that standard derivations of Bell‐type inequalities implicitly rely on additional assumptions beyond those originally stated, specifically concerning the cardinalities of the sets of measurements and photon‐pair properties.
Karl Hess, Jürgen Jakumeit
wiley +1 more source
Power spectral density and the brain
Abstract Time series from M/EEG (magneto/electroencephalography) and ECoG (electrocorticography) recordings are common sources of information about brain function. The power spectral density (PSD) preserves much of this information, up to second order. In the current decade, a burst of brain diagnostics using the slope of log(PSD) has appeared.
Priscilla E. Greenwood +2 more
wiley +1 more source
Characterizing Higher‐Order Ross More Risk Aversion by Comparison of Risk Compensation
ABSTRACT This paper characterizes higher‐order Ross more risk aversion by means of risk compensation rather than the traditional risk premium. Our approach extends the willingness‐to‐accept (WTA) framework of Denuit and Eeckhoudt (2013) to a broader class of risk changes.
Zhen Huang, Guoqiang Tian, Yougong Tian
wiley +1 more source
Comment on ‘Single particle nonlocality with completely independent reference states’
We comment on the purported violation of local realism, by a single photon induced correlations between homodyne detectors, which one can find in: (2008) New J. Phys. 10 113024 [arXiv: 0807.0109 ].
Tamoghna Das +5 more
doaj +1 more source
Extreme Rainfall Estimation Methods: A Review
The figure illustrates the topics we cover and their inter‐relationships. Extreme value models assign probabilities to rainfall depths, often using regionalisation. They may also allow variation with season, duration, climate epoch or the spatial extent of rainfall. The resulting storm depths can be assigned spatial and/or temporal profiles.
Duncan Faulkner +2 more
wiley +1 more source
This comment examines the mathematical framework developed by Bryan Sanctuary across a series of papers and preprints (2023–2025) concerning bivector and quaternion representations of spin and claims regarding Bell correlations.
Anton Lorenz Vrba
doaj +1 more source

