Results 71 to 80 of about 33,702 (146)

Identification and Estimation of Large Network Games with Private Link Information

open access: yesInternational Economic Review, Volume 67, Issue 2, Page 411-432, May 2026.
ABSTRACT We study the identification and estimation of large network games in which individuals choose continuous actions while holding private information about their links and payoffs. Extending the framework of Galeotti et al., we build a tractable empirical model of such network games and show that the parameters in individual payoffs are ...
Hülya Eraslan, Xun Tang
wiley   +1 more source

Development and Validation of the End‐of‐Life Assessment Tool for Advanced Dementia: A Multi Method Study

open access: yesJournal of Advanced Nursing, Volume 82, Issue 5, Page 5430-5443, May 2026.
ABSTRACT Aims To develop and validate the End‐of‐Life Care Assessment Tool for Dementia (EoLC‐ATD). Design A methodological study with multiple phases. Methods Five sub‐studies comprising: a review of 90 validated dementia measures to compile an item bank of advanced dementia symptoms; focus groups with registered nurses on advanced dementia symptom ...
Carolyn Bourke   +3 more
wiley   +1 more source

Monitoring panels of sparse functional data

open access: yesJournal of Time Series Analysis, Volume 47, Issue 3, Page 660-674, May 2026.
Panels of random functions are common in applications of functional data analysis. They often occur when sequences of functions are observed at a number of different locations. We propose a methodology to monitor for structural breaks in such panels and to identify the changing components with statistical certainty.
Tim Kutta   +2 more
wiley   +1 more source

Gradual Changes in Functional Time Series

open access: yesJournal of Time Series Analysis, Volume 47, Issue 3, Page 632-650, May 2026.
ABSTRACT We consider the problem of detecting gradual changes in the sequence of mean functions from a not necessarily stationary functional time series. Our approach is based on the maximum deviation (calculated over a given time interval) between a benchmark function and the mean functions at different time points.
Patrick Bastian, Holger Dette
wiley   +1 more source

Nonparametric Detection of a Time‐Varying Mean

open access: yesJournal of Time Series Analysis, Volume 47, Issue 3, Page 597-611, May 2026.
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

Persisting Disadvantages: A Study of the Dynamics of Cumulative Deprivation

open access: yesReview of Income and Wealth, Volume 72, Issue 2, May 2026.
ABSTRACT Identifying populations at risk of deprivation is crucial for effective policy design. Yet, much existing research focuses on single aspects, such as income or material deprivation, and often abstracts from deprivation dynamics. This study addresses this gap by analyzing the dynamics and socio‐economic gradient of cumulative deprivation using ...
Santiago Budría   +1 more
wiley   +1 more source

The Bernstein-Von Mises Theorem in Semiparametric Competing Risks Models [PDF]

open access: yes
Semiparametric Bayesian models are nowadays a popular tool in survival analysis. An important area of research concerns the investigation of frequentist properties of these models.
Nils L. Hjort, Pierpaolo De Blasi
core  

The joint survival super learner: A super learner for right‐censored data

open access: yesStatistica Neerlandica, Volume 80, Issue 2, May 2026.
ABSTRACT Risk prediction models are widely used to guide real‐world decision‐making in areas such as healthcare and economics, and they also play a key role in estimating nuisance parameters in semiparametric inference. The super learner is a machine learning framework that combines a library of prediction algorithms into a meta‐learner using cross ...
Anders Munch, Thomas A. Gerds
wiley   +1 more source

Inference on function-valued parameters using a restricted score test. [PDF]

open access: yesJ R Stat Soc Series B Stat Methodol
Hudson A, Carone M, Shojaie A.
europepmc   +1 more source

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