Results 161 to 170 of about 2,086,846 (295)

An iterated greedy‐based metaheuristic with local search for the rank pricing problem

open access: yesInternational Transactions in Operational Research, EarlyView.
Abstract The rank pricing problem involves determining optimal prices for a set of products while accounting for customers' budgets and preferences. This study develops an iterated greedy‐based metaheuristic to efficiently solve this problem. The core idea is to generate a sequence of solutions by iteratively applying destruction and reconstruction ...
Herminia I. Calvete   +3 more
wiley   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

open access: yesJournal 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
wiley   +1 more source

Biomechanics of the implant‐supported full arch fixed complete denture manufactured by milling and injection techniques: An experimental and FEA study

open access: yesJournal of Prosthodontics, EarlyView.
Abstract Purpose This study aims to characterize the mechanical properties of implant‐supported full arch fixed complete dentures manufactured by milling and injection techniques. Materials and Methods Twenty‐two samples with milling and injection manufacturing techniques were fabricated.
Mustafa Gürkan   +7 more
wiley   +1 more source

Benchmarking the geographic generalization of deep learning models for precipitation downscaling. [PDF]

open access: yesSci Rep
Harder P   +7 more
europepmc   +1 more source

Nonparametric Detection of a Time‐Varying Mean

open access: yesJournal 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

Testing for Unspecified Periodicities in Binary Time Series

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT Given random variables Y1,…,Yn$$ {Y}_1,\dots, {Y}_n $$ with Yi∈{0,1}$$ {Y}_i\in \left\{0,1\right\} $$ we test the hypothesis whether the underlying success probabilities pi$$ {p}_i $$ are constant or whether they are periodic with an unspecified period length of r≥2$$ r\ge 2 $$.
Finn Schmidtke, Mathias Vetter
wiley   +1 more source

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