Results 91 to 100 of about 947,067 (264)
Sample Average Approximation for Stochastic Programming with Equality Constraints
SIAM Journal on OptimizationWe revisit the sample average approximation (SAA) approach for non-convex stochastic programming. We show that applying the SAA approach to problems with expected value equality constraints does not necessarily result in asymptotic optimality guarantees as the sample size increases. To address this issue, we relax the equality constraints.
Thomas Lew +2 more
openaire +2 more sources
Next‐generation proteomics improves lung cancer risk prediction
Molecular Oncology, EarlyView.This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
Energies, 2019 Nowadays, the hybrid wind–diesel system is widely used on small islands. However, the operation of these systems faces a major challenge in frequency control due to their small inertia.
Nhung Nguyen Hong, Yosuke Nakanishi
doaj +1 more source
Optimal surveillance against bioinvasions: a sample average approximation method applied to an agent-based spread model. [PDF]
Ecol Appl, 2021 Nguyen HT, Ha PV, Kompas T.
europepmc +1 more source
Assortment Optimization and the Sample Average Approximation
We consider a simple approach to solving assortment optimization under the random utility maximization model. The approach uses Monte-Carlo simulation to construct a ranking-based choice model that serves as a proxy for the true choice model, followed by finding an assortment that is optimal with respect to that proxy.
Khalid, Hassaan, Sturt, Bradley
openaire +2 more sources
Efficient Estimation of the Parameter Path in Unstable Time Series Models [PDF]
The paper investigates asymptotically efficient inference in general likelihood models with time varying parameters. Parameter path estimators and tests of parameter constancy are evaluated by their weighted average risk and weighted average power ...
Mueller, Ulrich +1 more
core +1 more source
Effective therapeutic targeting of CTNNB1‐mutant hepatoblastoma with WNTinib
Molecular Oncology, EarlyView.WNTinib, a Wnt/CTNNB1 inhibitor, was tested in hepatoblastoma (HB) experimental models. It delayed tumor growth and improved survival in CTNNB1‐mutant in vivo models. In organoids, WNTinib outperformed cisplatin and showed enhanced efficacy in combination therapy, supporting its potential as a targeted treatment for CTNNB1‐mutated HB.
Ugne Balaseviciute +17 more
wiley +1 more source
Future Business JournalThis study introduces a stochastic mixed-integer nonlinear programming (MINLP) model designed to optimize budget allocation for digital marketing campaigns under uncertainty.
Zakaria Yahia, Mostafa ElBolok
doaj +1 more source
Journal of Inequalities and Applications, 2018 In this paper, we mainly consider the stochastic second-order cone complementarity problem (SSOCCP). Due to the existence of stochastic variable, the SSOCCP may have no solutions.
Meiju Luo, Caihua Zhang
doaj +1 more source
Bounding Optimality Gap in Stochastic Optimization via Bagging: Statistical Efficiency and Stability
, 2018 We study a statistical method to estimate the optimal value, and the optimality gap of a given solution for stochastic optimization as an assessment of the solution quality.
Lam, Henry, Qian, Huajie
core