Juice WRLD - Legends (lyrics video) - YouTube
Yeah, ooh, ooh, oh That hit's for you I usually have an answer to the question But this time I'm gon' be quiet (this time) Ain't nothing like the feeling of uncertainty, the eeriness of silence ...
Operating Dynamic Reserve Dimensioning Using Probabilistic Forecasts
The rapid integration of variable energy sources (VRES) into power grids increases variability and uncertainty of the net demand, making the power system operation challenging. Operating reserve is used by system operators to manage and hedge against...
Using Interactive Information Labels to Assist Decision Making Under Uncertainty: The Case…
Product information labels can help users understand complex information leading them to make better decisions. One area where consumers are particularly prone to make costly decision-making errors is long-term saving, which requires understanding of...
Towards Business Partnership Recommendation Using User Opinion on Facebook
The identification of strategic business partnerships can potentially provide competitive advantages for businesses; however, due to the dynamics and uncertainty present in business environments, this task could be challenging. To help businesses in...
The Parallel C++ Statistical Library for Bayesian Inference: QUESO
The Parallel C++ Statistical Library for the Quantification of Uncertainty for Estimation, Simulation and Optimization, Queso, is a collection of statistical algorithms and programming constructs supporting research into the quantification of uncerta...
Estimating Uncertainties in Statistics Computed from DNS
Rigorous assessment of uncertainty is crucial to the utility of DNS results. Uncertainties in the computed statistics arise from two sources: finite statistical sampling and the discretization of the Navier-Stokes equations. Due to the presence of no...
PACER: Physics Informed and Uncertainty Aware Climate Emulator
Physics based numerical climate models serve as critical tools for evaluating the effects of climate change and projecting future climate scenarios. However, the reliance on numerical simulations of physical equations renders them computationally int...
A Theory of Investors' Disclosure
We investigate investors voluntary disclosure decisions under uncertainty about their information endowment (Dye 1985). In our model, an investor may receive initial evidence about a target firm. Conditional on learning the initial evidence, the inve...
Adeliza of Normandy - Wikipedia
Adeliza or Adelida (died before 1113) was a daughter of William the Conqueror and his wife, Matilda of Flanders. There is considerable uncertainty about
Policy Implications of Statistical Estimates: A General Bayesian Decision-Theoretic Model…
How should we evaluate the effect of a policy on the likelihood of an undesirable event, such as conflict? The significance test has three limitations. First, relying on statistical significance misses the fact that uncertainty is a continuous scale....
Persistence and Uncertainty in the Academic Career
Understanding how institutional changes within academia may affect the overall potential of science requires a better quantitative representation of how careers evolve over time. Since knowledge spillovers, cumulative advantage, competition, and coll...
Addressing Tactic Volatility in Self-Adaptive Systems Using Evolved Recurrent Neural Netwo…
Self-adaptive systems frequently use tactics to perform adaptations. Tactic examples include the implementation of additional security measures when an intrusion is detected, or activating a cooling mechanism when temperature thresholds are surpassed...
Efficient Estimation of the number of neighbours in Probabilistic K Nearest Neighbour Clas…
Probabilistic k-nearest neighbour (PKNN) classification has been introduced to improve the performance of original k-nearest neighbour (KNN) classification algorithm by explicitly modelling uncertainty in the classification of each feature vector. Ho...
Quasielastic Lepton-Nucleus Scattering and the Correlated Fermi Gas Model
The study of neutrino-nucleus scattering processes is important for the new generation neutrino experiments for better understanding of the neutrino oscillation phenomenon. A significant source of uncertainty in the cross-section comes from limitatio...
Växjö Interpretation of Quantum Mechanics
We present critical arguments against individual interpretation of Bohr's complementarity and Heisenberg's uncertainty principles. Statistical interpretation of these principles is discussed in the contextual framework. We support the possibility t...
Error bar - Wikipedia
Error bars are graphical representations of the variability of data and used on graphs to indicate the error or uncertainty in a reported measurement
New study implies that the rise of right-wing populism is partly a psychological response…
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Pitt's inequalities and uncertainty principle for generalized Fourier transform
We study the two-parameter family of unitary operators \[ \mathcal{F}_{k,a}=\exp\Bigl(\frac{iπ}{2a}\,(2\langle k\rangle+{d}+a-2 )\Bigr) \exp\Bigl(\frac{iπ}{2a}\,Δ_{k,a}\Bigr), \] which are called $(k,a)$-generalized Fourier transforms and defined...
Shifted Pitt and uncertainty inequalities on Riemannian symmetric spaces of noncompact typ…
Our primary objective is to study Pitt-type inequalities on Riemannian symmetric spaces $\mathbb{X}$ of noncompact type, as well as within the framework of Jacobi analysis. Inspired by the spectral gap of the Laplacian on $\mathbb{X}$, we introduce t...
Pitt inequalities and restriction theorems for the Fourier transform
We prove new Pitt inequalities for the Fourier transforms with radial and non-radial weights using weighted restriction inequalities for the Fourier transform on the sphere. We also prove new Riemann-Lebesgue estimates and versions of the uncertainty...