Results 121 to 130 of about 524,682 (315)

Winning is not the only metric: the complexity of control manipulation in knockout tournaments for a redefined goal

open access: yesInternational Transactions in Operational Research, EarlyView.
Abstract We study control manipulation by generalizing the notion of success in knockout tournaments. The definition of success can be broadened to include other concepts of accomplishment rather than focusing solely on the identity of the tournament winner. Manipulation can be done in favor of diverse stakeholders.
Hadassa Daltrophe   +2 more
wiley   +1 more source

Do robots boost productivity? A quantitative meta‐study

open access: yesJournal of Economic Surveys, EarlyView.
ABSTRACT This meta‐study analyzes the productivity effects of industrial robots. More than 1800 estimates from 85 primary studies are collected. The meta‐analytic evidence suggests that robotization has so far provided, at best, a small boost to productivity. There is strong evidence of publication bias in the positive direction.
Florian Schneider
wiley   +1 more source

Obesity and dental caries among South Brazilian schoolchildren: a 2.5-year longitudinal study

open access: yesBrazilian Oral Research
The aim of this study was to assess the association between weight status and ΔDMFS among 12-year-old schoolchildren from South Brazil. A total of 801 12-year-old schoolchildren were followed-up for 2.5 ± 0.3 years. Data collection included questionnaire,
Nicássia Cioquetta LOCK   +4 more
doaj   +1 more source

Poisson count time series

open access: yesJournal of Time Series Analysis, EarlyView.
This article reviews and compares popular methods, some old and some recent, that produce time series having Poisson marginal distributions. The article begins by narrating ways where time series with Poisson marginal distributions can be produced.
Jiajie Kong, Robert Lund
wiley   +1 more source

Markov Determinantal Point Process for Dynamic Random Sets

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley   +1 more source

Characteristic polynomials of some min and max matrices

open access: yesMathematics Open
In this paper, we investigate Min matrices [Formula: see text] and Max matrices [Formula: see text] whose entries are [Formula: see text] and [Formula: see text], respectively, where [Formula: see text] and [Formula: see text]. By utilizing combinatorial
Wei Xie
doaj   +1 more source

Time‐Varying Dispersion Integer‐Valued GARCH Models

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT We introduce a general class of INteger‐valued Generalized AutoRegressive Conditionally Heteroscedastic (INGARCH) processes by allowing simultaneously time‐varying mean and dispersion parameters. We call such models time‐varying dispersion INGARCH (tv‐DINGARCH) models.
Wagner Barreto‐Souza   +3 more
wiley   +1 more source

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