Results 151 to 160 of about 31,702 (236)

Criteria for selecting the Paganin‐filter reconstruction parameter in X‐ray phase‐contrast tomography

open access: yesJournal of Synchrotron Radiation, Volume 33, Issue 3, Page 746-758, May 2026.
The development of a criterion for near‐optimal selection of the Paganin‐filter parameter based on noise power analysis measured via an image's noise power spectrum is described.The Paganin filter, widely employed in propagation‐based phase‐contrast X‐ray computed tomography with synchrotron light, attenuates phase effects and suppresses high‐frequency
Eduardo X. Miqueles   +3 more
wiley   +1 more source

Modelling non‐linear psychological processes: Reviewing and evaluating non‐parametric approaches and their applicability to intensive longitudinal data

open access: yesBritish Journal of Mathematical and Statistical Psychology, Volume 79, Issue 2, Page 263-293, May 2026.
Abstract Psychological concepts are increasingly understood as complex dynamic systems that change over time. To study these complex systems, researchers are increasingly gathering intensive longitudinal data (ILD), revealing non‐linear phenomena such as asymptotic growth, mean‐level switching, and regulatory oscillations.
Jan I. Failenschmid   +3 more
wiley   +1 more source

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

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

Multiple Changepoint Detection for Non‐Gaussian Time Series

open access: yesJournal of Time Series Analysis, Volume 47, Issue 3, Page 465-484, May 2026.
ABSTRACT This article combines methods from existing techniques to identify multiple changepoints in non‐Gaussian autocorrelated time series. A transformation is used to convert a Gaussian series into a non‐Gaussian series, enabling penalized likelihood methods to handle non‐Gaussian scenarios.
Robert Lund   +3 more
wiley   +1 more source

Turbulent Mixing and Dissipation Around Rough Seamounts

open access: yesGeophysical Research Letters, Volume 53, Issue 8, 28 April 2026.
Abstract Seamounts are critical components of the global ocean energy budget, contributing significantly to turbulent dissipation through their interaction with large‐scale flows. However, most previous numerical investigations used smoothed bathymetry that omits small‐scale topographic variability. We use turbulence‐resolving large‐eddy simulations to
Tomas Chor   +2 more
wiley   +1 more source

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