Results 151 to 160 of about 15,893 (296)

Embracing Complexity in HRM Research: A Call for System and Process Perspectives

Human Resource Management, EarlyView.
ABSTRACT Human resource management (HRM) is inherently complex. It involves systems of principles, practices, and activities operating at individual, group, organizational, and macro levels, which are interlinked through complex processes. Yet, empirical research has not kept pace with this conceptual richness.
Rebecca Hewett, Madleen Meier‐Barthold
wiley   +1 more source

Optimization and Bayesian approaches to geoacoustic inversion

, 2002
This thesis presents the results of applying two geoacoustic inversion meth­ods, an hybrid optimization algorithm and a Bayesian sampling algorithm, to data from environments with range independent and range dependent geophysical and geometric properties.
Lapinski, Anna-Liesa Salome
core  

Bayesian optimization enables balanced ambipolar transport in self‐doped random conjugated polymers

InfoMat, EarlyView.
The integration of side‐chain self‐doping with Bayesian optimization enables balanced ambipolar transport in random conjugated polymers with only six experiments, establishing a general and efficient paradigm for the rational design of flexible electronic materials.
Pinyu Chen, Xiangrui Gong, Tianqiang Cui, Bolun Huang, Ying Jiang, Ye Zou, Lang Jiang, Baoxin Zhang, Chengshan Yuan, Xiangfeng Shao, Hao‐Li Zhang, Zitong Liu   +11 more
wiley   +1 more source

High‐Frequency Instruments With Time‐Varying Reliability: Understanding Identification in Macroeconomics

Journal of Applied Econometrics, EarlyView.
ABSTRACT The effects of monetary policy shocks are regularly estimated using high‐frequency surprises in asset prices around central bank meetings as an instrument. These studies, insofar as they explicitly model the relationship between instrument and structural shock, assume a constant relationship between the instrument and the monetary policy shock.
Pooyan Amir‐Ahmadi, Christian Matthes, Mu‐Chun Wang   +2 more
wiley   +1 more source

Bayesian Model Averaging in Causal Instrumental Variable Models

Journal of Applied Econometrics, EarlyView.
ABSTRACT Instrumental variables are a popular tool to infer causal effects under unobserved confounding, but choosing suitable instruments is challenging in practice. We propose gIVBMA, a Bayesian model averaging procedure that addresses this challenge by averaging across different sets of instrumental variables and covariates in a structural equation ...
Gregor Steiner, Mark Steel
wiley   +1 more source

Toward an idiographic understanding of the role of sleep‐mood dynamics in adolescents' internalizing symptoms

JCPP Advances, EarlyView.
Abstract Background Adolescence is marked by increased vulnerability to sleep disturbances and mood disorders. Understanding how day‐to‐day changes in sleep and mood are linked within the same individual is crucial for clarifying sleep's role in emerging internalizing disorders. However, the extent to which an adolescent's fluctuations in sleep predict
Konstantin Drexl, Setareh Ranjbar, Sébastien Urben, Kerstin Jessica Plessen, Jennifer Glaus   +4 more
wiley   +1 more source

Cerebral Blood Transit in Sickle Cell Anemia

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Sickle cell anemia (SCA) patients upregulate cerebral blood flow to compensate for decreased arterial oxygen content. Such hyperemic conditions can manifest as venous hyperintense signal on arterial spin labeling (ASL) MRI, which may reflect faster capillary blood transit, altered oxygen extraction fraction (OEF), and infarct risk ...
Wesley T. Richerson, Megan A. Aumann, Alexander K. Song, Samantha Davis, Lauren Milner, Maria Garza, Dann Martin, L. Taylor Davis, Sumit Pruthi, Lori C. Jordan, Manus J. Donahue   +10 more
wiley   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

Mathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés, Ana Navarro‐Quiles, Sorina Madalina Sferle   +2 more
wiley   +1 more source

Deep Bayesian Inversion [Elektronisk resurs]

Characterizing statistical properties of solutions of inverse problems is essential for decision making. Bayesian inversion offers a tractable framework for this purpose, but current approaches are computationally unfeasible for most realistic imaging ...
Adler, Jonas,, Öktem, Ozan,
core  

Exploring Asymptotic Normality in Multinomial Models

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT Among the methods for analyzing categorical outcomes, the multinomial model offers a robust framework for examining the dependence between a multi‐category response variable and a set of explanatory variables. Its flexibility, versatility, and broad applicability across diverse fields make it a valuable tool, as it does not impose strict ...
Célia Nunes, Isaac Akoto, Carla Santos, João Tiago Mexia   +3 more
wiley   +1 more source