Results 191 to 200 of about 23,659 (294)

Transdiagnostic symptom networks in adolescent psychopathology: A longitudinal panel network analysis

open access: yesJCPP Advances, EarlyView.
Abstract Background Understanding symptom patterns of emerging psychopathology is essential for early detection and intervention. Network analysis offers a promising approach by conceptualizing emerging psychopathology as dynamic interactions between symptoms over time.
Xenia A. Häfeli   +3 more
wiley   +1 more source

Is Monetary Policy a Growth Stimulant in Nigeria? A Vector Autoregressive Approach

open access: yes
This paper critically examines the dynamic interaction between monetary policy tools in stimulating economic growth, as well as stabilizing the economy from external shocks in Nigeria.
Atanda, Akinwande AbdulMaliq   +2 more
core  

Forest Landscape Changes and Ecological Restoration for Sustainable Land Systems

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT This study investigates forest landscape changes and ecological restoration in Sichuan Province, China, to assess their contribution to sustainable land systems under climate stress. A theory‐guided multistage framework was applied to link Landsat‐based change detection, landscape metrics, habitat quality assessment, soil‐retention analysis ...
Tianzhai Li, Yinan Li
wiley   +1 more source

When a Week Is Not A Week: How Temporal Boundaries Shift Regulatory Focus and Consumer Preference

open access: yesPsychology &Marketing, EarlyView.
ABSTRACT Does consumer perception of a sales event change if it falls across a calendar boundary (e.g., next month) versus within the current month, holding objective time constant? We investigate this question in the context of Cyber Monday, the global shopping event occurring the Monday after the U.S. Thanksgiving holiday.
David DeFranza, Promothesh Chatterjee
wiley   +1 more source

NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part I: Methods

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
In this work we present the methods of the areal precipitation nowcasting system NowPrecip version 2. In this version a new methodology is introduced, which, although it shares philosophy and techniques with the original methodology of NowPrecip version 1, can be considered as distinct from that.
I. V. Sideris   +7 more
wiley   +1 more source

Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis   +7 more
wiley   +1 more source

Bayesian VAR Models for Forecasting Irish Inflation

open access: yes
In this paper we focus on the development of multiple time series models for forecasting Irish Inflation. The Bayesian approach to the estimation of vector autoregressive (VAR) models is employed.
Kenny, Geoff   +2 more
core  

Forecast‐Error Diagnostics in Neural Weather Models

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan   +2 more
wiley   +1 more source

A Robust Self‐Starting Bayesian Approach for Multivariate Phase II Monitoring

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT Traditional multivariate control charts require in‐control (IC) parameter estimates to be known or estimated from a large set of uncontaminated, historical Phase I observations. However, some processes need to be monitored when little Phase I data are available, and self‐starting approaches, including Bayesian methods, have proven useful. Self‐
Taylor R. Grimm   +2 more
wiley   +1 more source

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