Results 221 to 230 of about 2,083,931 (311)
Alternative Approaches for Estimating Highest‐Density Regions
International Statistical Review, EarlyView.Summary Among the variety of statistical intervals, highest‐density regions (HDRs) stand out for their ability to effectively summarise a distribution or sample, unveiling its distinctive and salient features. An HDR represents the minimum size set that satisfies a certain probability coverage, and current methods for their computation require ...
Nina Deliu, Brunero Liseo
wiley +1 more source
Hyperbolic submanifolds with finite type hyperbolic Gauss map
, 2015 U. Dursun, R. Yeğin
semanticscholar +1 more source
On a non-reflexive embedding with birational Gauss map for a projective variety
, 2007 知 深澤
openalex +1 more source
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
Journal of Economic Surveys, EarlyView.ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
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A Note on Spherical Product Surface with L_1-Pointwise 1-Type Gauss Map
, 2021 İlim Kişi, Günay Öztürk
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Nonparametric Detection of a Time‐Varying Mean
Journal of Time Series Analysis, EarlyView.ABSTRACT We propose a nonparametric portmanteau test for detecting changes in the unconditional mean of a univariate time series which may display either long or short memory. Our approach is designed to have power against, among other things, cases where the mean component of the series displays abrupt level shifts, deterministic trending behaviour ...
Fabrizio Iacone, A. M. Robert Taylor
wiley +1 more source
Region sampling NeRF-SLAM based on Kolmogorov-Arnold network. [PDF]
PLoS OneLi Z, Han J, Jiang C, Su H.
europepmc +1 more source
Computer-Aided Civil and Infrastructure Engineering, EarlyView.Abstract Traffic assignment serves as an important component in modeling flow distribution across infrastructure networks and supporting intelligent traffic management and urban planning. Fast algorithms for solving the stochastic user equilibrium (SUE) model are essential for enhancing computational performance and scalability of traffic assignment ...
Zelin Wang +5 more
wiley +1 more source