Results 131 to 140 of about 1,563,284 (329)
Background: Population forecasts are widely used for public policy purposes. Methods to quantify the uncertainty in forecasts tend to ignore model uncertainty and to be based on a single model.
Guy J. Abel +5 more
doaj +1 more source
Revisiting the growth effects of fiscal policy: A Bayesian model averaging approach
Motivated by the mixed evidence in previous literature, we re-examine the effects of various types of government spending, taxes, and overall budget surplus/deficit, on economic growth. To address the model uncertainty issue that may have plagued earlier
K. Arin, Elias Braunfels, G. Doppelhofer
semanticscholar +1 more source
Regime-Switching Cointegration [PDF]
We develop methods for Bayesian inference in vector error correction models which are subject to a variety of switches in regime (e.g. Markov switches in regime or structural breaks).
Gary Koop, Markus Jochmann
core
Unveil Fundamental Graph Properties for Neural Architecture Search
This paper proposes NASGraph, a graph‐based framework that represents neural architectures as graphs whose structural properties determine performance. By revealing structure–performance relationships, NASGraph enables efficient neural architecture search with significantly reduced computation.
Zhenhan Huang +4 more
wiley +1 more source
A Spatial Bayesian Hedonic Pricing Model of Farmland Values [PDF]
In 1973, British Columbia created the Agricultural Land Reserve (ALR) to protect farmland from development. This study investigates whether the ALR has been effective near the city of Victoria.
Cotteleer, Geerte +2 more
core +1 more source
Multi‐Tissue Genetic Regulation of RNA Editing in Pigs
This study presents the first multi‐tissue map of RNA editing and its genetic regulation in pigs. By integrating RNA editing profiles, edQTL mapping, GWAS, and cross‐species comparisons, this work establishes RNA editing as a distinct regulatory layer linking genetic variation to complex traits, highlighting its functional and evolutionary significance.
Xiangchun Pan +21 more
wiley +1 more source
cuteHap: Haplotype‐Aware Structural Variant Detection in Phased Long‐Read Sequencing Data
cuteHap is a haplotype‐aware structural variant detection method designed for phased long‐read sequencing. By employing self‐adaptive clustering and credibility‐prioritized beam search algorithms, cuteHap generates accurate haplotype‐resolved calls and outperforms state‐of‐the‐art tools.
Shuqi Cao +7 more
wiley +1 more source
Bayesian Model Averaging With Exponentiated Least Squares Loss
The model averaging problem is to average multiple models to achieve a prediction accuracy not much worse than that of the best single model in terms of mean squared error. It is known that if the models are misspecified, model averaging is superior to model selection.
Dong Dai, Lei Han, Ting Yang, Tong Zhang
openaire +4 more sources
Low‐frequency noise fingerprints in hafnia ferroelectrics provide a quantitative handle to resolve the long‐standing debate between polarization‐mediated and defect‐mediated switching. By tuning oxygen vacancy density via ALD O3 dose time and applying a physically constrained deconvolution, we extract bias‐resolved current fractions for both mechanisms
Ryun‐Han Koo +8 more
wiley +1 more source

