Results 141 to 150 of about 158,681 (246)

Enhancing generalizability theory with mixed‐effects models for heteroscedasticity in psychological measurement: A theoretical introduction with an application from EEG data

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in ...
Philippe Rast, Peter E. Clayson
wiley   +1 more source

Does a Functional Integral Really Need a Lagrangian?

open access: yesActa Polytechnica, 2010
Path integral formulation of quantum mechanics (and also other equivalent formulations) depends on a Lagrangian and/or Hamiltonian function that is chosen to describe the underlying classical system.
D. Kochan
doaj  

The role of foreign capital flows in health finance

open access: yesEconomic Inquiry, EarlyView.
Abstract This study develops an open economy version of the health deficit model to examine how rising health expenditures affect international capital flows, external balances, and welfare. The government issues bonds in international capital markets, linking health policy to international financial dynamics.
Mark Christopher Kelly
wiley   +1 more source

The Legacy of Policy Inaction in Climate‐Growth Models

open access: yesInternational Economic Review, EarlyView.
ABSTRACT To better understand the structure and core mechanisms of a broad class of climate‐growth models, we study a simplified version of the dynamic integrated model of climate and the economy (DICE) through the lens of growth theory. We analytically show that this model features a continuum of saddle‐point stable steady states.
Thomas Steger, Timo Trimborn
wiley   +1 more source

Reinforcement Learning for Jump‐Diffusions, With Financial Applications

open access: yesMathematical Finance, EarlyView.
ABSTRACT We study continuous‐time reinforcement learning (RL) for stochastic control in which system dynamics are governed by jump‐diffusion processes. We formulate an entropy‐regularized exploratory control problem with stochastic policies to capture the exploration–exploitation balance essential for RL.
Xuefeng Gao, Lingfei Li, Xun Yu Zhou
wiley   +1 more source

Ecological drivers and phylogenetic patterns of leaf minimum conductance variability in vascular plants

open access: yesNew Phytologist, EarlyView.
Summary Stomatal closure prevents significant water losses during drought events. Yet, leaves are not perfectly hermetic and dehydration ensues through residual water losses, known as minimum conductance (gmin), which is highly relevant since it informs on the water depletion dynamics under stress.
Santiago Trueba   +8 more
wiley   +1 more source

Unveiling sex dimorphism in the healthy cardiac anatomy: Fundamental differences between male and female heart shapes

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend We present a shape modelling‐based morphological analysis of sex differences in cardiac anatomy. We conduct our analysis on 456 healthy subjects from the UK Biobank (227M/229F) to uncover sex‐based differences in healthy cardiac morphology.
Beatrice Moscoloni   +4 more
wiley   +1 more source

On k-path Hamiltonian line-graphs

open access: yes, 1972
La nota riguarda principalmente i grafi di linee k-path hamiltoniani. Si indicano delle proprietà del grafo di linee di un grafo k-path hamiltoniano e si assegnano delle condizioni sufficienti affinché il grafo di linee di un grafo sia k-path hamiltoniano. The paper mainly concerns the k-path hamiltonian line-graph.
openaire   +2 more sources

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