Results 81 to 90 of about 4,541 (238)
We study the effects of heat and high temperature shocks on inflation in Australia using monthly, state‐level temperature anomaly data via two stages. In the first stage, we decompose temperature anomalies into orthogonal components using a structural vector autoregression with long‐run restrictions.
Tan Dat Huynh, Mengheng Li
wiley +1 more source
Market Integration and Nonlinear Price Transmission in 19th‐Century British Wheat Markets
ABSTRACT Important developments in infrastructure and institutions characterized 19th‐Century wheat markets in Great Britain. Among these developments was the construction of the national rail system which enabled cheaper and more efficient transport of grain and other bulky cargoes between inland towns and ports.
Barry K. Goodwin, A. Ford Ramsey
wiley +1 more source
hmmTMB: Hidden Markov Models with Flexible Covariate Effects in R
Hidden Markov models (HMMs) are widely applied in studies where a discrete-valued process of interest is observed indirectly. They have for example been used to model behavior from human and animal tracking data, disease status from medical data, and ...
Théo Michelot
doaj +1 more source
Field‐level crop choice responses to weather‐induced yield shocks in the US Corn Belt
Abstract As climate change increases the frequency and severity of extreme heat events, farmers are expected to face greater variability in crop yields. Using 10 million field‐level observations, this study examines how farmers in the US Corn Belt adjust corn–soybean rotation decisions in response to yield shocks largely driven by weather fluctuations.
Seunghyun Lee
wiley +1 more source
Heatwaves and Mortality: The Influence of Choice of Definition and Lag. [PDF]
Abstract To investigate whether the reported additional effects of heatwaves on mortality are truly independent or instead reflect incomplete control for lagged temperature effects, and to assess whether this relationship varies by heatwave definition (e.g., minimum duration and intensity thresholds), as a potential explanation for heterogeneity in ...
Alwadi Y +3 more
europepmc +2 more sources
Abstract Traditional bankruptcy literature has primarily focused on commercial enterprises, often overlooking the unique dynamics of cooperatives and other small organizations. This study addresses this g ap by developing a predictive model for insolvency risk within Brazil's supplementary health sector, encompassing both for‐profit and not‐for‐profit ...
Thiago de Oliveira Victorino +2 more
wiley +1 more source
3D Character Reconstruction from Hand‐drawn Model Sheets
Abstract Hand‐drawn model sheets are widely used in character design to define 3D shape and appearance through sparse multi‐view drawings. Reconstructing 3D characters from such sparse inputs has traditionally been challenging due to insufficient visual information.
Hyejeong Yoon +3 more
wiley +1 more source
LeafFit: Plant Assets Creation from 3D Gaussian Splatting
Abstract We propose LeafFit, a pipeline that converts 3D Gaussian Splatting (3DGS) of individual plants into editable, instanced mesh assets. While 3DGS faithfully captures complex foliage, its high memory footprint and lack of mesh topology make it incompatible with traditional game production workflows. We address this by leveraging the repetition of
Chang Luo, Nobuyuki Umetani
wiley +1 more source
Penalized spline estimation in the partially linear model
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Quantitative Metrics for Edge Bundling of Network Visualizations
Abstract Edge bundling is widely used for reducing visual clutter in large 2D network and trajectory visualizations. Various edge bundling methods have been proposed, each producing qualitatively distinct outputs for the same data; however, few quantitative metrics exist for systematic evaluation. In this paper, we propose a set of quantitative metrics
M. Wallinger +3 more
wiley +1 more source

