Results 151 to 160 of about 13,921 (215)
Hedgehog Pillows and Squirrel Plates: Priming Semantic Structure in Children's Comprehension
Abstract We report three expression–picture‐matching experiments targeting preschoolers’ semantic processing. We assessed whether 3‐ and 4‐year‐olds’ interpretations of ambiguous novel noun–noun combinations (e.g., hedgehog pillow) were affected by immediate language experience and what role lexical items played in this process.
Judit Fazekas +2 more
wiley +1 more source
Random Carbon Tax Policy and Investment Into Emission Abatement Technologies
ABSTRACT We analyze the problem of a profit‐maximizing electricity producer, subject to carbon taxes, who decides on investments into CO2$\rm CO_2$ abatement technologies. We assume that the carbon tax policy is random and that the investment in the abatement technology is divisible, irreversible, and subject to transaction costs.
Katia Colaneri +2 more
wiley +1 more source
Summary Arbuscular mycorrhizal fungi (AMF) are widespread plant symbionts that enhance nutrient acquisition and influence ecosystem productivity. Previous chromosome‐level assemblies of the model species Rhizophagus irregularis revealed a two‐compartment genome architecture (active A and repressed B chromatin compartments), yet its conservation across ...
Ken Mugambi +10 more
wiley +1 more source
Heteroskedastic Structural Vector Autoregressions Identified via Long‐Run Restrictions
ABSTRACT A central assumption for identifying structural shocks in vector autoregressive (VAR) models via heteroskedasticity is the time‐invariance of the impact effects of the shocks. It is shown how that assumption can be tested when long‐run restrictions based on the cointegration structure of the variables are available for identifying structural ...
Martin Bruns, Helmut Lütkepohl
wiley +1 more source
Repelled Point Processes With Application to Numerical Integration
ABSTRACT We look at Monte Carlo numerical integration from a stochastic geometry point of view. While crude Monte Carlo estimators relate to linear statistics of a homogeneous Poisson point process (PPP), linear statistics of more regularly spread point processes can yield unbiased estimators with faster‐decaying variance, and thus lower integration ...
Diala Hawat +3 more
wiley +1 more source
Bayesian Inference for Multivariate Monotone Densities
ABSTRACT We consider a nonparametric Bayesian approach to estimation and testing for a multivariate monotone density. Instead of following the conventional Bayesian approach of imposing a prior that satisfies the monotonicity restriction, we place a prior on the step heights via binning and a Dirichlet distribution. The resulting posterior distribution
Kang Wang, Subhashis Ghosal
wiley +1 more source
Abstract In a highly interconnected global landscape, where shocks can have far‐reaching spill‐over effects, the emphasis on enhancing resilience has naturally grown, capturing the interest of policymakers. This study examines regional (NUTS2) economic resilience over the Great Recession and the COVID‐19 pandemic.
Cristian Incaltarau
wiley +1 more source
Digital N‐of‐1 trials and their application in experimental physiology
Abstract Traditionally, studies in experimental physiology have been conducted in small groups of human participants, animal models or cell lines. Identifying optimal study designs that achieve sufficient power for drawing proper statistical inferences to detect group level effects with small sample sizes has been challenging. Moreover, average effects
Stefan Konigorski +2 more
wiley +1 more source
Abstract figure legend In this study, we use human‐induced pluripotent stem cell‐derived cardiomyocyte (hiPSC‐CM) experiments and computational modelling to identify the mechanism of action of drug compounds. In the hiPSC‐CM experiments, optical measurements of cell collections are recorded in the baseline case and after drug exposure.
Karoline Horgmo Jæger +4 more
wiley +1 more source

