Euromaidan and Ukrainian Subjective Well‐Being
ABSTRACT The 2013–2014 Euromaidan in Ukraine was the largest series of pro‐European protests in history. Peaceful civilian protests were met with state violence, resulting in widespread civil unrest, over 100 deaths, and nearly 2000 injuries. The Russo‐Ukrainian War broke out shortly after. We examined the immediate and long‐term changes in Ukrainians’
Aidan Campbell +9 more
wiley +1 more source
Parallel hierarchical sampling : a general-purpose class of multiple-chains MCMC algorithms [PDF]
This paper introduces the Parallel Hierarchical Sampler (PHS), a class of Markov chain Monte Carlo algorithms using several interacting chains having the same target distribution but different mixing properties. Unlike any single-chain MCMC algorithm,
Mira, Antonietta +3 more
core
ABSTRACT On the basis of two social‐affective frameworks, we posited that national football team performance (winning vs. losing) would impact spectators’ identities, affect and sociopolitical attitudes—including their intergroup attitudes (i.e., in‐group favouritism and multiculturalism) and societal perceptions (i.e., national optimism, perceived ...
Yannik A. Escher +13 more
wiley +1 more source
Time‐Variant Seismic Fragility of Reinforced Concrete Bridge Piers Considering Degradation Phenomena
ABSTRACT Aging and environmental exposure progressively deteriorate the physical and mechanical properties of construction materials, thereby affecting the safety and functionality of existing infrastructure. Corrosion of steel rebars in reinforced concrete structures is widely acknowledged as the most common and detrimental degradation phenomenon, as ...
Paolo Andrea Miglietta +4 more
wiley +1 more source
Evaluation of fall‐seeded cover crops for grassland nesting waterfowl in eastern South Dakota
Cover crops are experiencing a revival among Midwestern farmers, and we assessed their attractiveness and safety for nesting ducks in South Dakota. Nest success was markedly lower in cover crops than in perennial cover during both years of our study, including 2019 which was a best‐case scenario for cover crops, with extremely wet conditions delaying ...
Charles W. Gallman +3 more
wiley +1 more source
Efficient Markov chain Monte Carlo sampling for electrical impedance tomography
This paper studies electrical impedance tomography (EIT) using Bayesian inference [1]. The resulting posterior distribution is sampled by Markov chain Monte Carlo (MCMC) [2]. This paper studies a toy model of EIT as the one presented in [3], and focuses
Erfang Ma
doaj +1 more source
Perceptual multistability as Markov Chain Monte Carlo inference [PDF]
While many perceptual and cognitive phenomena are well described in terms of Bayesian inference, the necessary computations are intractable at the scale of real-world tasks, and it remains unclear how the human mind approximates Bayesian computations ...
Tenenbaum, Joshua B +2 more
core
Smart Parking Systems: A Review of Optimization Techniques and Technological Advances
This review highlights optimization techniques and recent technological advances in smart parking systems, emphasizing their role in enhancing efficiency, reducing congestion, and improving user experience. It provides insights into innovative approaches that shape the future of sustainable and intelligent urban mobility. ABSTRACT In heavily populated,
Amirhossein Khosravi Sarvenoee +5 more
wiley +1 more source
Legacy effects of redlining on the distribution of greenspaces in US cities
We investigated how a discriminatory housing policy—redlining—has shaped the spatial patterns and configurations of greenspaces throughout 177 cities in the contiguous US. Housing segregation has been a long‐term development practice that has sequestered communities of color to areas with elevated environmental and public health risks.
Travis Gallo +4 more
wiley +1 more source
Bayesian Adaptive Hamiltonian Monte Carlo with an Application to High-Dimensional BEKK GARCH Models [PDF]
Hamiltonian Monte Carlo (HMC) is a recent statistical procedure to sample from complex distributions. Distant proposal draws are taken in a equence of steps following the Hamiltonian dynamics of the underlying parameter space, often yielding superior ...
John Maheu, Martin Burda
core +2 more sources

