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Approximation methods

An evolutionary algorithm based on approximation method and related techniques for solving bilevel programming problems

Yuhui Liu, Hecheng Li, Huafei Chen, Mei Ma

Peer review: Risk and risk tolerance

Stephen A. Gallo, Karen B. Schmaling

Highly scalable maximum likelihood and conjugate Bayesian inference for ERGMs on graph sets with equivalent vertices

Fan Yin, Carter T. Butts

Constrained portfolio optimization with discrete variables: An algorithmic method based on dynamic programming

Fereshteh Vaezi Jezeie, Seyed Jafar Sadjadi, Ahmad Makui

Analyzing biomarker discovery: Estimating the reproducibility of biomarker sets

Amir Forouzandeh, Alex Rutar, Sunil V. Kalmady, Russell Greiner

Use of an efficient unbiased estimator for finite population mean

Javid Shabbir, Ronald Onyango

Accuracy of a Bayesian technique to estimate position and activity of orphan gamma-ray sources by mobile gamma spectrometry: Influence of imprecisions in positioning systems and computational approximations

Antanas Bukartas, Jonas Wallin, Robert Finck, Christopher Rääf

A construction heuristic for the capacitated Steiner tree problem

Simon Van den Eynde, Pieter Audenaert, Didier Colle, Mario Pickavet

Inference on P(X < Y) in Bivariate Lomax model based on progressive type II censoring

Amal Helu, Hani Samawi

Regularized Bayesian calibration and scoring of the WD-FAB IRT model improves predictive performance over marginal maximum likelihood

Joshua C. Chang, Julia Porcino, Elizabeth K. Rasch, Larry Tang

Evoked and transmitted culture models: Using bayesian methods to infer the evolution of cultural traits in history

Alexandre Hyafil, Nicolas Baumard

Improved log-Gaussian approximation for over-dispersed Poisson regression: Application to spatial analysis of COVID-19

Daisuke Murakami, Tomoko Matsui

Bayesian inference across multiple models suggests a strong increase in lethality of COVID-19 in late 2020 in the UK

Patrick Pietzonka, Erik Brorson, [ ... ], Ronojoy Adhikari

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