Results 161 to 170 of about 582,984 (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

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

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

Empirical‐Process Limit Theory and Filter Approximation Bounds for Score‐Driven Time Series Models

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT This article examines the filtering and approximation‐theoretic properties of score‐driven time series models. Under specific Lipschitz‐type and tail conditions, new results are derived, leading to maximal and deviation inequalities for the filtering approximation error using empirical process theory.
Enzo D'Innocenzo
wiley   +1 more source

On compound operators depending on s parameters

open access: yesJournal of Numerical Analysis and Approximation Theory, 2004
In this note we introduce a compound operator depending on \(s\) parameters using binomial sequences. We compute the values of this operator on the test functions, we give a convergence theorem and a representation of the remainder in the ...
Maria Crăciun
doaj   +2 more sources

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